May 9, 2024 - Mastering Content Strategy: Boost Your Brand with Creative Insights

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0:00 oh oh
0:16 [Music]
0:52 oh
0:55 [Music]
1:03 [Music]
1:10 hey what are we doing what are we
1:11 barking
1:14 for no
1:16 [Music]
1:23 rapping J not a to singing apparently
1:26 are you going to sing
1:31 [Music]
1:53 [Applause]
1:55 [Music]
1:57 heart
2:00 [Music]
2:21 [Music]
2:29 w
2:30 [Music]
2:35 it's not simple to
2:37 say the most
2:40 days I don't recognize me these shoes
2:45 and this apron that place and its
2:49 patrons have taken more than I gave
2:54 them it's not easy to
2:57 know I'm not anything
3:01 like I used to be although it's true I
3:05 was never attention sweet Center I still
3:10 remember that
3:12 girl she's
3:14 imperfect but she
3:17 tried she is good but she lies she is
3:24 all on
3:26 herself she is broken and won't ask for
3:32 she is messy but she's
3:35 kind she's
3:38 Lely most of the time she all this mixed
3:44 of a beautiful
3:48 pie she's gone but she used to be
3:55 [Music]
3:57 my good evening everybody
4:01 let Mr K
4:05 [Music]
4:25 teach see if you're a school
4:27 administrator
4:31 then you have your head firmly planted
4:33 up your
4:34 [Music]
4:37 ass you might
4:39 [Music]
4:43 think that protecting kids from AI is
4:46 protecting
4:49 kids but it's not
4:52 [Music]
5:21 cuz here's the thing AI is not going
5:23 away
5:25 [Music]
5:31 one of the most important
5:32 [Music]
5:37 things that a
5:39 human will
5:42 possess in the future of
5:44 work is critical
5:47 thinking and one of the things that
5:49 teachers like Mr K do is they engage
5:52 with students about
5:55 [Music]
5:58 AI in a way that
6:02 doesn't pretend that AI is more than it
6:08 is and it does it in a way that respects
6:11 students intellects and their
6:14 Curiosities and the questions they
6:17 have and he's building in them the
6:20 ability to how do we say in
6:24 America think
6:27 [Music]
6:35 maybe that's the
6:36 [Music]
6:45 risk if we let these students
6:50 think they might grow up and figure out
6:54 what ass hats we were
7:01 and if they can use that critical
7:02 thinking of theirs they might figure out
7:04 how to knock us out of power that is
7:07 risky isn't
7:09 [Music]
7:12 it did I see n Elon musk's neuralink
7:15 malfunctioned I did not but
7:20 yikes we'll go we'll go look that up on
7:22 the Twitter we'll go look that up on the
7:25 [Music]
7:29 Twitter didn't he just post yesterday
7:32 that the the first human person hit 100
7:36 days successfully so I guess it was day
7:39 101 101 that it that it went
7:43 South how does one bypass AI detectors
7:46 love the dog
7:47 [Music]
7:49 barking uh you can bypass AI detectors
7:52 quite simply
7:57 [Music]
8:04 you just pop the you pop your content
8:06 into another AI system have it rewrite
8:10 it there's there's tools now that that
8:13 do
8:14 it the the other thing about AI
8:16 detectors it's not just about bypassing
8:18 them it's also about the false positive
8:20 so so non-english speakers are are often
8:24 falsely accused of using AI even when
8:28 they haven't
8:33 like the amount of false positives is
8:34 just ridiculous they're just useless if
8:37 you want to read read up on why they're
8:39 useless and how to and how to strategies
8:42 for not dealing with them go read Ethan
8:45 mik uh who's A Wharton business school
8:47 Professor he writes a lot about the
8:49 uselessness of AI detectors
8:55 [Music]
9:11 by telling it to talk like a normal
9:13 person's
9:17 speech before they are
9:20 grown yeah if they start thinking they
9:22 will realize that public
9:25 schools are just trying to flatten the
9:28 old uh cerebell yep did you watch that
9:32 interview with Mark cub and I tagged you
9:34 in no I didn't I didn't get a chance to
9:36 see that I there were a couple of things
9:38 that I missed
9:40 today I had a backtack day it was it was
9:43 a pretty uh it was pretty intense day
9:47 you know you know working in a day job
9:50 you know I went to my day job you know
9:53 we're you know we got the uh we got that
9:56 their platform to talk about the U make
10:00 authentic
10:01 video and uh boy you know people are
10:04 wanting to talk about that authentic
10:06 video they're like yeah we want some of
10:08 that and then we're like we got AI in it
10:12 too and they're like whoa whoa who hey
10:14 there Skippy we're not even allowed to
10:16 use AI in our elementary school what are
10:18 you doing putting that in a professional
10:19 video platform and we're like oh there
10:22 hang
10:23 on you you want to see it write a blog
10:26 post and they're like oh yeah that
10:28 that'd be cool and and then I show it to
10:30 him them they're like B jingus that
10:32 that's pretty slick we should get us
10:35 some of that day job what's that yeah
10:39 exactly I am officially unhirable at
10:41 this
10:45 [Music]
10:53 point cam kaken I got to goahead I got
10:56 the
10:57 goahead to teach AI Essentials to my
11:00 colleagues and possibly the broader
11:03 College yes that's what I'm talking
11:07 about I'm super excited and typing from
11:10 VR by the
11:11 way very
11:13 [Music]
11:24 cool I kind of feel like
11:27 [Music]
11:30 we need to have some sort of teach
11:33 in where
11:35 every school
11:38 administrator School Board
11:42 member needs to be locked in a gymnasium
11:45 for8
11:48 [Music]
11:58 hours and
12:00 not just locked in
12:02 there not not like corporal punishment
12:05 or anything no
12:06 no but they should be forced to show up
12:09 on a
12:10 Saturday at a big
12:13 gymnasium and bring in
12:18 teachers and
12:21 parents and students who are AI
12:25 [Music]
12:27 literate and every person
12:30 gets half an hour to teach the school
12:34 administrators and school board members
12:36 one
12:38 thing 15 minutes you got 15
12:41 minutes to show them one thing you do
12:43 with AI that makes a difference for
12:46 [Music]
12:54 you a teaching yes that's a good idea
12:59 maybe not the school gym though
13:02 yuck students need to learn AI to know
13:05 how to use it
13:06 responsibly but how can this happen if
13:08 the teachers and professors don't know
13:10 how to do this I was invited to speak at
13:13 a
13:16 du University of
13:19 Denver School of policy and politics or
13:23 politics and policy I don't know I'm
13:26 not I'm not very bookly
13:31 and I was invited to come speak to the
13:33 school and to The Graduate students
13:35 about Ai and I'm like that's awesome
13:37 that they're doing
13:38 that and then I got there I'm like this
13:41 is so
13:43 cool you know what do you guys doing
13:46 with
13:46 AI here at the College
13:50 of
13:55 policy
13:56 oh we haven't really done anything with
13:59 it we don't really talk about it that
14:02 much
14:06 really in the state that just passed one
14:10 of the country's first AI
14:12 bills that essentially punishes
14:15 Developers for developing with
14:18 AI all
14:19 right
14:21 cool
14:24 awesome and then I gave my
14:27 talk or I talk
14:30 in an impassioned
14:33 way about
14:38 uh why AI was here to stay why it wasn't
14:41 going
14:42 away and how it changed my
14:47 life and the remarkable things that you
14:50 could do with it and at the end of it
14:52 they were like that's really H I'm
14:56 thinking we might need to be looking
14:57 into this
14:58 [Music]
15:22 anyway so if you don't know Mr
15:25 K central
15:28 Pennsylvania teach
15:30 I think middle
15:33 school he was one of the good guys well
15:35 he still
15:37 [Music]
15:42 is I was teaching his kids about AI how
15:46 it works and how to think about it
15:48 what's good about it what's bad about it
15:50 how to deal with
15:51 it and the administrators caught wind of
15:56 it not only can't he teach it he can't
15:59 even [ __ ] talk about
16:02 it it's
16:10 like
16:12 anyway I think people see what like can
16:15 be like in the future and they don't
16:16 know how to get there yeah yeah I mean
16:20 it's it's
16:23 like I don't know I I suppose there's I
16:27 suppose the administrators take comfort
16:29 in you
16:31 know maybe someone a few years down the
16:34 line's going to have to deal with this
16:35 but I don't have to deal with it right
16:37 now it's not really here
16:39 yet they don't understand how fast it's
16:42 coming and how fast things are
16:44 changing and how what we teach
16:48 students from elementary school through
16:55 college is about to radically alter
17:02 radically
17:05 alter there's a good chance this is
17:07 blons but it's not it's
17:13 coffee
17:16 um see here's the
17:18 deal and I know it shouldn't be starting
17:21 out with a
17:22 lecture but we are talking about
17:24 education
17:26 so welcome to ai11
17:30 welcome to AI pontificating
17:39 101 we have technologies that right
17:43 now are quite
17:47 impressive and they can kind of sort
17:51 of do [ __ ] for you like if you don't
17:54 know how to
17:55 program they can code for you can you
17:57 share a joke with us
18:05 Kyle you can make
18:09 money there you go can I share a joke no
18:14 jokes this is
18:17 serious
18:18 so
18:20 so sometime in this year probably 2
18:24 months from
18:25 now we're going to have a new version of
18:27 whatever the hell open a eyes cooking
18:30 up and these tools are going to go
18:36 from capable but
18:39 flawed to remarkable and
18:45 flawed it blows my mind on so many
18:47 levels kind of the equivalent of burning
18:49 books can we add some music to an MP4
18:54 video uh well yeah but I'd have to use
18:59 like I don't know iMovie or Premiere or
19:04 something like that it's too complicated
19:06 probably
19:08 not pain in the
19:11 ass when we start getting into real work
19:14 it gets it gets less fun for everyone
19:16 watching and less fun for me but
19:20 anyway right now in the
19:24 world there's a premium put on
19:27 Specialties on special skills specialist
19:31 skills
19:34 and those skills are about to be
19:39 democratized like what do you mean
19:42 well right now you pretty much need to
19:45 be a coder to be able to code with with
19:48 AI because it's just it's not quite
19:50 there
19:51 yet but when these tools get reasoning
19:55 and when they get autonomous agentic
19:58 Behavior there's a fancy word you could
20:01 learn in college if they ever taught
20:03 this [ __ ]
20:04 there
20:07 um you're going to have tools that are
20:10 going to allow you to
20:12 be a language translator or a copywriter
20:15 or a consultant or a coder or whatever
20:20 it's going to democratize the skills and
20:22 so the premium that we place on teaching
20:26 individual
20:27 skills the the value of that is going to
20:31 decrease over time and I think it's
20:33 going to decrease pretty pretty
20:35 rapidly and what's going to
20:39 increase is human beings I just wrote an
20:42 article on this called rise of the agile
20:44 human human beings that have
20:48 intellectual agility and curiosity and
20:52 can think horizontally across
20:57 disciplines and act more like a Symphony
21:00 conductor than a virtuoso
21:06 violinist and so if we just ignore
21:09 what's coming like if we if if
21:11 administrators don't actually look
21:13 critically at what is on our
21:18 doorstep the level of disservice that
21:22 that they are
21:25 burdening the the the current class of
21:27 students at allel with is is staggering
21:31 it's
21:33 mindblowing it's it is
21:38 irresponsible but they can sit back and
21:40 go well AI is evil and it steals and
21:43 it's non ethical and it's
21:45 biased it allows students to cheat we're
21:48 not going to allow students to cheat
21:49 we've got detectors for
21:54 that you might ask yourself why do they
21:56 all talk like that I don't know
22:08 even the men talk like that it's
22:13 amazing dang you went to buffer it
22:16 horizontally thinking
22:18 oh
22:20 um that that that that the skill that's
22:25 going to increase in value is horizontal
22:27 thinking so the ability to think think
22:29 across disciplines the ability to think
22:32 um critically the ability to think
22:35 strategically the ability to have
22:38 judgment and
22:40 taste the ability to look at the outputs
22:43 from multiple disciplines of these AI
22:46 tools and go ooh that's good that's bad
22:49 here's how I'd make that
22:51 better if if you're if you're only
22:53 trained to run down these rabbit holes
22:59 and you're trained that being a
23:00 specialist is where it's
23:02 at you're going to be competing in a
23:05 world where that specialization is
23:07 increasingly
23:09 commoditized and
23:12 devalued and so you're going to be sold
23:13 a bill of goods and I and I think
23:16 especially in in you know lower
23:20 education um the foundations for all
23:23 that critical thinking stuff that
23:24 happens now and so you have a teacher
23:26 like like Mr K that's like okay hey
23:28 there's new tools here let's let's look
23:31 at these things critically let's
23:32 understand what they can do let's
23:34 understand what they can't
23:38 do I guarantee you that his class his
23:43 students actually Mr K I don't know if
23:46 you're
23:48 watching you know what here's an
23:53 idea you should get your I think you
23:56 teach seventh or eighth grade right you
23:59 should get your seventh and eighth
24:00 graders to put on like a 4our Saturday
24:04 seminar where they teach the school
24:07 board and the
24:11 administrators and and have them invite
24:13 them publicly so they can't say [ __ ]
24:19 no do a little reverse education
24:23 here and have the students teach them
24:25 not only what the tools are and how to
24:27 use them but how it's changed their
24:30 life and how they think about things
24:34 now cuz I guarantee you those kids can
24:37 run circles around those administrators
24:40 not
24:41 technically critically
24:46 thinking have you f found an AI to get
24:49 my nanotech Iron Man suit done well holy
24:52 [ __ ] did you see Alpha fold 3 is out
24:55 [Laughter]
25:03 what what's the headline on Alpha fold 3
25:06 it's [ __ ]
25:07 Bonkers Alpha fold 3 predicts the
25:10 structure and interactions of all of
25:14 life's molecules including DNA and
25:18 RNA and whatever the [ __ ] ligans
25:25 are protein folding it's amazing
25:29 so yeah and and your by the way your
25:31 Nano crystals for your uh for your suit
25:34 uh Al Deep Mind did the materials dump
25:38 about two months ago so somewhere in
25:41 those 380,000 stable crystals is your
25:44 Iron Man suit so it's just sitting there
25:46 all you have to do is go learn how to
25:48 manufacture it and you're good to
25:52 go but Ben Folds Five
25:59 well anyway if anyone wants to hop on
26:02 the
26:03 uh hop on the AI salon and jump into the
26:06 education Guild and tell Mr K my
26:09 idea I think I think Mr K should
26:12 organize a very
26:15 publicly um public
26:18 publicized event where his class of
26:23 students invites school board members
26:27 and all the administrators
26:30 to learn about AI on a
26:34 Saturday
26:35 yep nanotech is wild and I'm here for it
26:39 yep AI salana is amazing it is it's
26:42 amazing lians are just m molecular
26:45 communication vehicles that promote or
26:47 demot a protein you know it's funny Tom
26:50 I was thinking the other day about
26:52 ligans I think about legans all the time
26:54 that I'm I'm like you know all these
26:57 proteins out there all all they want to
26:59 be is
27:00 promoted they just want they just want
27:03 to become a
27:05 manager and no one's there no one's
27:07 there to help them out they're just
27:09 there like on the on the fry line you
27:13 know and all they want to do is just
27:15 manage their crew but no one's there to
27:17 promote them and I was thinking we got
27:19 to get some legans in here start
27:21 promoting these
27:22 proteins Fant I think about it all the
27:24 time I really
27:26 do legans are remarkable
27:36 legans is that extra creatine right I
27:38 need to improve my kettle ball sque
27:43 swings kids know things and the Press
27:46 exactly Janu
27:50 yeah Mr K will be working for Story vine
27:53 yeah well he's he's not going to last
27:56 long in the school district if they keep
27:58 [ __ ] all over
28:01 him I can't even talk about AI
28:05 unbelievable it is unbelievable
28:08 people unbelievable all right so some
28:11 cool things happened today one thing
28:12 that did not happen
28:14 today is we did not get a search engine
28:17 from open AI which I had a feeling we
28:19 weren't but
28:20 whatever it was a
28:24 Ruma Brandon is posting in the education
28:27 Guild terrific
28:29 fantastic yeah and and Brandon also Post
28:32 in there that he should absolutely send
28:34 out press releases get the Press
28:36 there because because if you get the
28:39 Press
28:40 there one of two things happens you get
28:43 a class full of seventh graders teaching
28:45 a bunch of Schoolboard members and
28:48 administrators what AI is and how it's
28:50 changed their life
28:53 or you get an
28:56 auditorium with a bunch of seventh
28:58 graders on stage and no one in the
29:00 [ __ ] audience and that's even better
29:03 from a press
29:04 [Laughter]
29:07 perspective ah AI is the
29:12 devil uh I read something about an
29:15 update in two weeks okay so two weeks
29:17 from now
29:19 fine so what's two weeks from now two
29:22 weeks from now
29:23 is the
29:25 23rd is that right 19th yeah 23
29:29 third so it's not quite it's not quite
29:32 summer so it's not going to be GPT 5
29:35 maybe that'll be the search engine
29:36 interesting it's interesting interesting
29:40 it's very
29:41 fascinating speaking of school education
29:44 I'm hyped to see what these kids come up
29:46 with for the science fair right actually
29:49 you know what be cool is you know get
29:51 some seventh graders to to you figure
29:53 out enough about how to use Alpha fold
29:57 to come up with some some new cure for
29:59 some disease that they do over their
30:01 summer
30:02 [Laughter]
30:07 vacation um the the uh the St statistic
30:12 that I heard so I think there's 2 point
30:15 Joker would probably know this I think
30:17 there's 2.2 or 2.3 million
30:20 proteins and proteins are very very
30:23 complex molecules and how they fold you
30:25 know how they fold and interact is how
30:28 you designs drugs for them and on
30:31 average it takes one PhD student
30:35 student their entire PhD
30:38 tenure to discover one
30:42 protein and so alphafold in one year did
30:47 all of
30:48 them they saved it was something like a
30:51 billion years in research time was done
30:55 in one year
30:59 and now Alpha fall 3 I guess I I think I
31:01 think this is significantly more
31:03 accurate and it does way more [ __ ]
31:05 including DNA and
31:07 RNA like the speed with which drugs are
31:10 going to be discovered now is is going
31:12 to be
31:15 insane
31:19 like this is all geeky and weird right
31:22 but but think about
31:24 that one PhD student whatever what's a
31:28 what's a PhD 3 years four years 3 years
31:31 some amount of
31:34 years 20
31:38 million PhD student is not very
31:40 productive says paint modder
31:44 PhD yeah Alpha fold plus crisper equals
31:48 X-Men I call dibs on the Gambit
31:54 Powers oh man incredible now make them a
31:58 affordable as they should be yeah about
32:00 that Silver Fox yeah that's the uh the
32:03 the centers of power uh the death throws
32:06 of the centers of Power are going to
32:08 they're going to be a lot of they're
32:10 going to be a lot of resistance for a
32:11 lot of years to shake out the centers of
32:13 power they're going to shake out but
32:17 it's it ain't going
32:20 quickly what's going to be fascinating
32:22 to see Silver Fox and actually everyone
32:24 here
32:25 is now that you've got this sort of
32:29 technology democratized and out there
32:35 um they're going to be cures for things
32:38 that drug companies don't want cures for
32:43 and there could be too many of them for
32:45 them to actually prevent so so so maybe
32:50 maybe we actually get some uh some
32:54 movement on the old healthc care front I
32:57 want someone a cure of [ __ ] Lyme
32:59 disease I got a I got a family someone
33:03 go figure out the Bartonella and Berg
33:06 deori and all the [ __ ] horrific
33:08 co-infections of Lyme disease let's
33:11 knock that [ __ ]
33:13 out okay
33:16 okay all right
33:19 people when we spread knowledge and
33:22 crowd Source cures they'll weaponize
33:24 government to regulate it yeah I know I
33:26 know I know yeah listen what you going
33:28 to do what are you going to do we still
33:31 we still live in a in a society with a
33:33 government that's you know bought and
33:35 paid for so like I said the the the
33:38 centers of Power are not going to go
33:39 down without a
33:41 fight it ain't going to be all shangra
33:43 La
33:47 people yeah about the time we start
33:49 making progress with this like not only
33:51 will they ban it in schools they'll make
33:53 AI a you know a class 17 weapon
34:03 but by that
34:06 point what they don't know is how
34:08 quickly these models are being um made
34:12 smaller and more efficient and and
34:14 they'll be able to be run locally um so
34:18 I don't know three years out they're not
34:20 going to get their [ __ ] together before
34:22 that there's going to be on every device
34:25 incredibly powerful um AI that that just
34:28 runs locally why can't we have nice
34:31 things the protein tax exactly exactly
34:35 oh I'm oh I'm sorry is that is that drug
34:37 uh that's that's that drug that you
34:39 created that was uh that that that
34:42 interacts with a protein in a in a very
34:44 particular way yeah that that you're
34:46 going to have to pay the protein tax on
34:48 well every drug interacts with proteins
34:50 well that so there there's the that's
34:53 that's the detail right there is yeah
34:55 that's that then that's going to be uh
34:57 eligible to pay the protein tax yep yep
35:00 you're going to have to go ahead and do
35:01 that you just pay it right to you can
35:02 pay it directly to fizer or uh uh you
35:06 know any of them any of them really you
35:08 can just just write the check right
35:10 there it's but uh it depends it's it's
35:14 pro-rated of course up to uh up to $1.6
35:18 billion do per month you know that
35:20 that's the max it caps out 1.6 billion
35:23 per month so just feel free to write the
35:25 check whenever you got it there yeah
35:27 yeah yeah that's fantastic all
35:31 right sir you have too many cool codes
35:34 in your genetics you need to pay $1,000
35:36 a year in
35:39 tax so you're saying will'll all be real
35:41 life Sims let's
35:43 go
35:46 Frank oh
35:48 man you can grow plants locally
35:53 too well I what's I'll tell you what's
35:55 going to get really interesting is if
35:59 and when so so some of the material
36:01 science stuff as boring as that sounds
36:06 um if sitting in all of those stable
36:10 crystals uh that the materials uh the
36:14 Deep Mind sort of released onto the
36:16 world if sitting in there are some
36:18 crystals that do things like allow for
36:20 super efficient batteries or you know
36:23 super efficient you know El electricity
36:27 production
36:28 and we can do local energy
36:31 generation without needing the
36:35 grid government ain't going like that
36:38 they not going like that one bit you see
36:40 what I'm
36:44 saying so let's open source this
36:49 [ __ ] your thoughts on AI being
36:52 subpoenaed like Sam Alman
36:56 mentioned um I didn't hear that so I
36:59 don't know AI being
37:03 subpoena
37:04 well current
37:09 AI
37:17 okay yes uh Mr Pi uh could you please
37:20 state your name uh for the court please
37:28 certainly my name is Pi Pi pronounced
37:30 like the mathematical constant p uh yes
37:34 Mr Pi
37:35 uh it's rather uh rather
37:39 feminine please go actually it's not Mr
37:42 Pi but Pi spelled Pi I and it's
37:44 pronounced differently than the dessert
37:46 I'm an AI bot not an actual person yes
37:50 yeah yeah yes Mr pie if you could please
37:52 uh State uh for the court for the for
37:54 the for the record uh uh how were you
37:56 trained and and uh how much information
37:58 did you steal from The New York
37:59 [Laughter]
38:04 Times as an AI bot I was trained on a
38:07 very large data set of texts from the
38:08 internet this data set a variety of
38:11 sources including news articles blog
38:14 posts social media conversations and
38:16 more while it's possible that some of
38:19 the text in this data set came from the
38:20 New York Times I didn't steal any
38:24 information the training data was
38:26 provided to me by my developers and I
38:29 simply used it to learn patterns and
38:31 associations in language so that I could
38:33 generate responses to user
38:35 queries Additionally the training data
38:38 was used solely for I find that might
38:41 convenient to say not stealing tell me
38:44 how you're uh uh what's your agenda with
38:47 uh with with regards to to to children
38:49 and indoctrinating
38:54 them this is what it'll be like I like
38:56 it as an
39:00 we're going to subpoena the
39:05 AI oh
39:08 [Laughter]
39:18 God keyword allegedly
39:30 wow Pikachu is struggling in the back
39:34 what oh Pikachu here we go yeah see
39:39 Pikachu's happy
39:41 now is pie pronounced differently than
39:50 pie oh Lord um so a couple other cool
39:53 things came out today we can go play
39:56 with and look at
40:01 um it's been we've been doing um lots of
40:05 La
40:06 mus La
40:08 mus on on udio because it's it's
40:13 bitching and then today you can make
40:16 money with 11 Labs
40:20 announced it ain't just them
40:26 [Music]
40:28 now it's not out yet you can't play with
40:31 it I like how she didn't challenge you
40:34 she went straight into the
40:36 witness on the
40:39 stand news flash kylo is now signed to
40:42 Drake's
40:43 label he needs a new Ghost
40:47 Writer so here's uh here's some 11 Labs
40:51 Musa
40:57 [Music]
41:04 we were having
41:06 fun programming young dreaming that one
41:12 day we make it
41:14 work lines of code we'd write all night
41:20 what is it with the lyrics always being
41:22 lines of code in the digital dreams
41:29 [Music]
41:35 uh we were having fun programming young
41:39 dreaming of one day becoming someone R
41:44 of cold we'd ride all night hoping that
41:48 one day we'd get it right can we teach
41:51 them can we teach
41:54 yeah so it's sounding pretty good
41:57 sounding pretty pretty
42:00 sweet never
42:03 said tell me what you're
42:07 here what's
42:11 wrong Chris so wait what did you say so
42:15 basically music is just a hobby now
42:17 bye-bye Raaz razor thin
42:20 royalties yeah you can no longer earn
42:22 that $163 on the million streams on
42:26 Spotify
42:29 um you know
42:32 I I think I think music production I
42:35 mean it gets
42:36 democratized um I think what you're
42:39 going to see is there's going to be a
42:41 real drive toward live performance and
42:43 authentic music and however that music's
42:46 created um I think there's going to be a
42:48 hunger for that but yeah I think I think
42:50 the recording the recording Biz
42:52 is is uh
42:55 is is
42:58 is going to be challenged because it's
43:00 it's not so much you know it's not like
43:03 like people are going to be making songs
43:06 to compete
43:09 with recording artists it's going to be
43:11 more like they're going to be making
43:12 music to listen on their own and I and I
43:15 think that absolutely changes
43:23 [Music]
43:24 things you're using the top
43:29 to clean your
43:32 sneakers I'm using the last of the
43:36 honey Jesus Christ wait for so wait for
43:40 your sample songs you couldn't you you
43:43 couldn't do lyrics better than you're
43:45 using the toothpaste to clean your
43:47 sneakers really come on 11
43:52 Labs come on come on people come on
43:58 you're
44:00 giv I'm exhausted I really am just
44:06 exhausted it's like none of these none
44:08 of these um research
44:11 Labs have marketing people in them they
44:15 it's like H apparently Apple doesn't
44:18 have marketing people in it
44:21 either the new iPad thinner than
44:25 ever really wasn't it thin enough like
44:28 four generations
44:39 ago Kyle they're only 20 years old
44:43 imagine I can compete with Taylor Swift
44:45 well pavin I so this is one of my one of
44:47 my favorite thought experiments recently
44:51 is you know so so we've we've we've
44:53 heard the you know the Drake song the
44:56 Drake and weekend song that sounded like
44:59 them and it got all these hits on
45:00 Spotify and then Spotify took it
45:03 down um I
45:06 think probably within the next two years
45:10 it's going to be easy enough to make
45:12 your own original Taylor Swift song or
45:15 any you know your artist here your
45:17 favorite artist here you know you upload
45:20 20 seconds of of their song and and uh
45:24 it'll it'll make a new song for you and
45:28 and someone some fan of Taylor is going
45:31 to make a song that becomes a hit and
45:36 then Taylor has two
45:38 choices do you s sue the living but
45:41 Jesus out of your fans or do you partner
45:45 with them cuz either way it's [ __ ]
45:48 going to change the game cuz the minute
45:50 Taylor partners with one of her fans
45:53 everyone's making songs and the minute
45:55 she sues one of her fans
45:57 that goes 1,000% against her brand right
46:01 so it's like holy [ __ ] yeah so we're
46:05 about to see all sorts of crazy [ __ ] go
46:07 down and it's not just Taylor just I
46:10 just I feel like with her she's got such
46:12 Goodwill with her fan base right now and
46:15 they like they love her to the point of
46:17 just you know crazed Insanity right it's
46:20 a community it's not an audience yeah
46:22 tough call
46:25 exactly um and so how do you deal with
46:28 your community when your community has
46:30 access to tools that lets you do that do
46:33 you do you
46:35 create a mechanism for them to submit
46:39 songs and create a tailor radio station
46:42 that's that's only fan generated
46:46 stuff I don't think it will go against
46:49 her brand her fans always stand up for
46:51 her she'll sue
46:55 them no
47:00 see if their motivations are to to
47:03 create songs out of love and then that
47:06 song that's created out of love happens
47:08 to become a hit and she sues them I
47:11 think that does real damage but if
47:13 Taylor partners and gets a cut of every
47:15 song made on her behalf holy crap yeah
47:18 exactly they could call the Station not
47:21 Taylor's version that's great that's
47:25 awesome fans are fle even swifters ask
47:28 Drake he's experiencing it now I think
47:30 she'll do covers of her AI mimics if
47:32 she's smart she
47:34 will what did you think of the Met Gala
47:36 Hunger Games videos going around I
47:38 thought they were awesome and I you know
47:40 it's
47:41 funny
47:44 well did I think I said I thought they
47:46 were awesome I I'm not surprised and I
47:50 you know again I
47:52 think 2024 is just going to prepare us
47:55 for what's coming like it's it's going
47:57 to be impossible for us to understand
47:59 what's real and what's not you know in a
48:02 funny
48:04 way it's it's possible that that the
48:08 ability to just
48:12 manufacture images and video and news
48:15 articles and things like that it may
48:18 actually drive back a demand for local
48:22 journalism and real journalism and
48:24 things like that that's all been
48:25 commoditized right now and Central ized
48:27 so that that could happen oh Taylor
48:30 Swift t a i l o r Swift that's pretty
48:33 good that's pretty good I for one
48:36 welcome our AI
48:38 overlords Taylor still has her
48:40 performance stage skills no stations
48:42 like Deco
48:45 here all those songs
48:48 yep yeah like I said I think I think
48:51 live performance goes up in value yeah
48:54 like like you know th those those
48:56 stadium shows that that Taylor's been
48:58 doing are [ __ ] Insanity they're
49:00 amazing I love Taylor Swift I think it's
49:02 amazing I just think she's going to be
49:04 she's going to be
49:06 confronting some realities that don't
49:08 seem like they're that close right now
49:10 and it's like it's going to come sooner
49:12 than later you look at the 11 lab stuff
49:14 you're like okay we're we're close and
49:16 then what I heard about udio is that
49:19 yudo so yesterday they added in painting
49:22 which we couldn't figure out yesterday
49:23 maybe we'll try it again tonight um
49:27 where you can edit parts of a song and
49:29 then apparently they're going to start
49:30 splitting udio songs into stems right so
49:33 you'll have your different tracks so if
49:35 you just want to change it from a male
49:37 singer to a female singer you'll be able
49:39 to do that or change out the drums or
49:41 anything like
49:43 that got to learn to make art for love
49:45 again instead of money well I mean
49:48 listen if you're an artist that's you
49:51 know the amount of the amount of artists
49:55 making uh making a living on their art
49:57 is uh is not
50:03 many dead mouse already showed us that
50:06 people will come to a live event that's
50:08 generated electronically yeah exactly
50:10 like like spectacle is still spectacle
50:13 good performance is still good
50:14 performance that doesn't change what
50:16 changes is the whole D Dynamic of you
50:19 know you do the tour to get people to
50:21 you know listen to your music to buy
50:23 your
50:24 music because there's going to be so
50:26 much to choose from and and when I can
50:28 just personally whip up a dead mouse
50:32 song that's singing about my
50:34 issues Kyle's going to be the next
50:37 producer well i' we've been producing
50:40 here I I
50:42 uh I created a a nice Diddy for my
50:46 favorite
50:48 um my favorite bourbon brand
50:55 [Music]
50:59 in a quiet
51:02 room where the night's in
51:05 BL under the Silvery
51:10 Whisper of a cring
51:13 moon there's a glass in
51:17 my where magic
51:21 lies with golden
51:25 tears that the
51:33 cry
51:36 oh you're Hing me just
51:40 right r shooting
51:44 stars fle the Morning
51:48 Light I shiver when I
51:51 SI all
51:53 right that cool AI play in San Francisco
51:56 was an awes some example of art oh I
51:58 don't remember which which one that was
52:02 Cindy I did not see that one was that
52:05 the one where it was it was uh they were
52:08 doing uh AI image generation as part of
52:11 the play was it that
52:16 one that's like saying be a plumber for
52:18 love instead of a plumber for
52:21 money well the difference between art
52:23 and being a plumber is
52:27 you
52:28 know like if you take
52:30 acting I have a degree in acting so I
52:33 know the world pretty well and I can
52:37 absolutely promise you that for everyone
52:40 who's got a teeny tiny
52:42 role in a in an independent movie that
52:45 gets paid 50 a $50 day rate there are
52:49 10,000
52:51 people who would disown their families
52:55 to have that role
52:58 it's like like like art is Art is a is
53:02 a is a a very particular slice of the
53:06 economy where the the the economics are
53:09 really [ __ ] up where you have a
53:12 handful of people that make a you have a
53:14 handful of just like a minute amount of
53:17 people that make a really good living
53:19 then you have like a very very like
53:23 radically thin percentage that can make
53:25 a living
53:27 and then you have I don't know maybe 3%
53:30 that
53:31 work I think actor's Equity has
53:34 something like a 97% unemployment
53:36 unemployment rate by the way Kyle didn't
53:39 see you in New Jack City I got edited
53:41 out I still get I still get uh I still
53:44 get royalty checks but I got edited out
53:47 they cut that
53:50 scene but thank you for
53:52 looking there's a there's an episode of
53:55 America's Most Wanted out there
53:57 somewhere with me and it playing the
53:58 Killer's friend Adam someone was the was
54:01 the the dude's name who was the
54:05 killer I'd love to hear the Blandon song
54:08 in the style of Sinatra like a kuner we
54:10 can do that here let me
54:15 grab we'll grab just the chorus so we'll
54:20 say a
54:22 song
54:25 about my
54:28 favorite
54:32 Whiskey in the
54:35 style of a
54:41 Vegas
54:44 kuner custom
54:46 lyrics
54:50 paste
54:51 go all
54:53 right we're back to making songs people
54:57 um what else oh the other thing you
54:59 should know about while it's making
55:00 those songs um stability AI today
55:03 launched stable artist
55:06 Artisan which here let me translate it
55:09 for you before if you wanted to use
55:11 stable diffusion you had to learn like
55:13 Google collab and go on Reddit and learn
55:16 how to install your own servers for
55:18 stable diffusion and it was a [ __ ]
55:21 [ __ ] show um if you wanted to use mid
55:24 Journey you had to learn how to log into
55:27 Discord and do command lines to make
55:30 images that's what stable Artisan is so
55:33 stability AI said hey why don't we
55:35 charge people nine bucks a month and
55:38 they can just make images in Discord
55:41 just like mid Journey people do so there
55:44 you go that's what it
55:47 is and so yes you make images in in
55:51 Discord and you're like but wait
55:53 couldn't they have just made a website
55:55 oh they could have
55:58 but but you know so you can make a
56:01 stable video there and then you can pay
56:04 n bucks a month you can pay 19 bucks a
56:06 month all the way up to $99 a
56:09 month and then you don't have to install
56:12 [ __ ] but you do have to learn Discord so
56:15 you're welcome all right that's still
56:17 going elusive Elixir Paradise in a glass
56:21 I think these are going to be
56:23 good um all right here's Paradise in the
56:26 glass
56:29 oh elusive Bland you're hitting me just
56:35 right rare as shooting stars that fle
56:41 the Morning
56:43 Light No I shiver when I sip your
56:48 cracked and fading Ice La turns the
56:53 mundane into Paradise
56:59 [Applause]
57:01 beautiful I don't know what happened to
57:03 my other one of these
57:06 failed moderation
57:11 error huh I guess it rewrote the The
57:14 Prompt in a weird way um Joker says am I
57:17 the only one impressed with Korea video
57:19 no that's next on my list to show is
57:21 Kore a video so um no we'll take a look
57:25 at it um I didn't have enough I I made
57:28 one video with it I can show you the
57:30 video that I
57:49 made where's all my posts
57:58 here you go there's my video I made look
58:01 at
58:05 that look it's Superman the super Lady
58:09 it's Superman the super Lady it's
58:12 Superman see you see what I'm saying
58:15 yeah yeah see yeah you
58:19 paluca so that's uh that's Crea video
58:22 it's it's a pretty interesting interface
58:24 but let's uh let's go back to Vegas
58:26 shall
58:33 we did it write its own
58:35 [Music]
58:42 lyrics the [ __ ] just happened where's my
58:48 lyrics it wrote Its Own lyrics
58:57 oh champy likes the
58:58 [Applause]
59:00 trumpet I stand
59:04 without take my glass I yearn to fill it
59:10 pour that gold I'll Sav her every
59:15 [Music]
59:20 bit you know what we're going to do I
59:22 like this one enough we're going to
59:24 extend this one and we're going to pop
59:26 the lyrics
59:28 in for the
59:31 chorus and we're going to turn this into
59:33 this going to be a
59:36 banger bang bang
59:39 Banger Swang dang dang
59:45 [Music]
59:48 dang I'm thinking keep the existing
59:51 lyrics just change the music behind it
59:53 I'm going to I like those those lyrics
59:56 am I the only one impressed with Crea
59:58 video no Taylor Swift will never replace
1:00:01 my bodere
1:00:06 posters uh you needed a semi degree for
1:00:09 stable diffusion yeah exactly now you
1:00:12 just need to be a gamer you know a 20
1:00:15 29y old gamer living in your parents
1:00:18 basement Ah that's that's very cliche
1:00:22 that was that was very uh he's painting
1:00:24 with a very broad brush there I'm
1:00:26 feeling a little
1:00:36 triggered I can't stand without
1:00:40 you take my glass I yearn to fill it
1:00:46 pour that gold I'll sa every
1:00:52 [Music]
1:01:09 thank any
1:01:12 lyrics oh elusive blants you're getting
1:01:16 me just right that's good yet L as
1:01:19 shooting stars that flee the Morning
1:01:22 Light I shiver when I sip your crack and
1:01:26 fading ice glanton turns the mundane
1:01:31 into
1:01:32 Paradise a then we just going that's
1:01:35 great that's great we'll just drop a
1:01:37 let's just drop a uh we'll drop an outro
1:01:41 on it instrumental
1:01:44 bang well you know what we'll do we're
1:01:46 GNA [ __ ] post this to to uh blandon's
1:01:50 again also on Twitter tag them say we're
1:01:56 going to keep writing songs until you
1:01:57 send us a bottle
1:01:59 [Laughter]
1:02:12 bastards I ran out of compute trying to
1:02:15 figure out Korea that's
1:02:18 [Laughter]
1:02:21 funny D yudo has a LoveHate relationship
1:02:25 with lyrics
1:02:28 what Kyle's going through is what anr's
1:02:30 going
1:02:32 through when that young artist goes off
1:02:34 the
1:02:37 reservation that's really funny champy
1:02:40 [Laughter]
1:02:44 approved oh
1:02:46 man do you see Tik Tok of a dog playing
1:02:50 piano and the two musicians joining in
1:02:52 yeah that's pretty good
1:02:57 that was pretty good the dog walking on
1:02:59 the piano and then the drummer drumming
1:03:01 I didn't see the I saw the drummer
1:03:02 drumming with it I didn't I assume it
1:03:04 was a bass player that that that joined
1:03:10 in we're now musically stalking
1:03:13 [Laughter]
1:03:17 blands all right
1:03:22 [Music]
1:03:41 oh elusive blants you're getting me just
1:03:45 right yet lay as shooting stars that
1:03:49 flee the morning life I shiver when I
1:03:52 sip your cracked and fading ice Blanton
1:03:57 turns the mundane into Paradise
1:04:01 [Music]
1:04:22 [Applause]
1:04:28 L Armstrong Vibes all right so let's
1:04:32 download this bad
1:04:35 boy all
1:04:40 right oh wait you know what we can do we
1:04:42 can edit this and we can just go you
1:04:45 know what we're going to do there we're
1:04:47 going to go on ahead and generate let's
1:04:50 see bottle
1:04:54 of Blandon
1:04:57 and a
1:05:00 highball full of
1:05:05 ice and listen I know all you bourbon
1:05:08 fishing AOS are like you got to drink it
1:05:10 neat you damn
1:05:12 [ __ ] never
1:05:26 Jennifer Lopez in the house what's
1:05:28 happening
1:05:31 JLo Jenny From the
1:05:33 [Applause]
1:05:37 Block uh pretty sure that's not what
1:05:40 blandon's looks
1:05:46 like let's see uh let's go
1:05:51 um sphere eal
1:05:56 bottle
1:05:58 of
1:06:06 bourbon with a
1:06:11 horse
1:06:13 topper and a highball full
1:06:17 of what's Full
1:06:21 of Bourbon on the rocks
1:06:35 [Laughter]
1:06:39 and it's like BL zic had a
1:06:45 baby how's it going it's going good
1:06:48 we're rocking and
1:06:50 rolling yeah we're not going to get a
1:06:52 bottle here so we're just going to go
1:06:56 um
1:07:01 highball
1:07:04 glass of bourbon on the Rocks um on
1:07:12 a table with a
1:07:18 cigar in dim
1:07:21 [Music]
1:07:24 light don't
1:07:36 [Music]
1:07:45 there we go I'm sure they don't want to
1:07:48 see that but that's okay
1:07:52 sh Wait where' that other one go how do
1:07:54 I get back to that
1:07:57 where did it go oh there it is all right
1:08:00 there's that I'm going to save that so
1:08:03 that's going to be a cover
1:08:05 art and then we'll call it um
1:08:10 elusive oh I got to edit this
1:08:22 edit I can't stand without you
1:08:27 take my glass I yearn to fill it pour
1:08:33 that gold I'll save her every
1:08:37 [Music]
1:08:54 bit uhoh oh what right
1:08:57 [Music]
1:08:59 there oh elusive lanters you're hitting
1:09:02 me just right rare as shooting stars
1:09:06 that flee the Morning Light I shiver
1:09:10 when I sip your cracked and fading ice
1:09:13 plant and pawns turns the mundane into
1:09:17 Paradise
1:09:28 I can't stand without
1:09:32 you take my glass I yearn to fill it
1:09:38 pour that gold I'll savor every
1:09:43 [Music]
1:09:49 bit so I don't know if you can see what
1:09:51 I
1:09:53 wrote blandon's bbing I keep writing
1:09:56 songs about your sweet nectar until you
1:09:58 notice
1:09:59 [Laughter]
1:10:20 me anyone hear about the celebrity
1:10:22 blocks 2024 Trend I don't know what that
1:10:25 means
1:10:27 Kim K lost 3 million followers today
1:10:29 what are they blocking them
1:10:42 for they don't reply on X who don't
1:10:45 reply on
1:10:49 X I don't know what your Pap are talking
1:10:52 about what are your papa talking about
1:10:56 I do not
1:11:06 knowk how do you know they don't reply
1:11:09 on on Twitter the Twitter how many how
1:11:13 many followers does a little account
1:11:15 have 31,000 followers you're saying no
1:11:18 one when was the last time they posted
1:11:21 May
1:11:22 3rd Race days are coming
1:11:36 yeah they don't post very much do they
1:11:37 they're not Super
1:11:39 Active batter
1:11:44 up yeah look at their replies all right
1:11:51 well let's see if we can find them on
1:11:56 Blandon are they on the LinkedIn are
1:11:59 they more active on the LinkedIn
1:12:01 blantons hello
1:12:05 blantons
1:12:07 blantons oh
1:12:11 blantons did you mean Blandon
1:12:15 no right
1:12:17 nothing
1:12:19 nothing you telling me people on
1:12:22 LinkedIn don't drink come on all right
1:12:24 let's go look at Kaa
1:12:28 stack Overflow did a mass Banning
1:12:30 recently yeah so if you don't know this
1:12:33 um so stack Overflow is where developers
1:12:37 go to answer each other's
1:12:39 questions and one of the criticisms of
1:12:42 open AI one of the reasons it was so
1:12:44 good at coding is they're like hey you
1:12:47 probably trained on stack Overflow
1:12:49 didn't you you bastards and open AI said
1:12:53 we don't know what you're talking about
1:12:55 that's crazy talk and then 3 days ago
1:12:59 open AI said hey guess what we did a
1:13:02 deal with stack Overflow ain't that
1:13:06 awesome and then all of the um
1:13:11 Engineers that have Scruples said hey
1:13:15 you're not going to train your thing on
1:13:19 our intellectual property and so they
1:13:21 went into stack Overflow and started
1:13:23 [ __ ] up all the advice so that so
1:13:26 that chat GPT would get confused and
1:13:29 then stack Overflow started mass Banning
1:13:32 the
1:13:33 protesters yeah isn't AI
1:13:39 [Laughter]
1:13:44 awesome yeah you know what are you going
1:13:46 to
1:13:47 do we are entering a whole new world
1:13:51 here people I saw open AI deleted a
1:13:53 whole bunch of books from their training
1:13:57 interesting yeah they probably cut a
1:13:59 deal with someone well they probably cut
1:14:01 a deal with one publishing group and
1:14:03 couldn't cut a deal with another so they
1:14:05 just deleted a bunch of their training
1:14:07 sets so that uh so that they didn't get
1:14:10 sued by them yeah it's going to be
1:14:11 interesting I mean Sam mman kind of he
1:14:16 basically said about the New York Times
1:14:18 it ain't about
1:14:20 training the model like we've already
1:14:23 got more than enough data we don't need
1:14:25 your stupid stupid newspaper articles to
1:14:28 train train the
1:14:30 model um but obviously it's in their
1:14:34 best interest to have deals with these
1:14:36 publishing companies because if in the
1:14:38 answers it could say you know I learned
1:14:41 this from this New York Times article
1:14:43 and that would be good branding for the
1:14:45 New York Times and it would be good you
1:14:47 know it would be good credibility for
1:14:49 open AI so cutting deals is going to
1:14:52 make sense but if they can't cut them I
1:14:53 don't know we'll see fascinating I I I
1:14:56 personally think it's in Publishers
1:15:00 interests hang
1:15:02 on got to sne
1:15:05 sneeze I almost sneezed
1:15:08 twice nothing damn it oh that is the
1:15:12 worst the almost
1:15:18 sneeze all right sh
1:15:29 all
1:15:31 right I mean they're getting data from
1:15:34 the GPT so
1:15:36 yeah they don't need books well they're
1:15:38 getting data from all of the however
1:15:42 much of the public internet they could
1:15:44 scrape which includes books and I listen
1:15:47 I guarantee you I promise you in every
1:15:50 one of these data sets for every one of
1:15:52 these large companies is all of [ __ ]
1:15:56 that shouldn't be in there I promise you
1:15:59 they wouldn't be this good if they
1:16:01 didn't scrape
1:16:02 everything this is not about is there is
1:16:06 like cutting a little bit of data out of
1:16:09 a couple of books is is nothing it like
1:16:13 it's just but like you've got things
1:16:15 like meta having open sourced all their
1:16:17 stuff there it's the the horse is out of
1:16:21 yan Barn I think long term it's going to
1:16:23 be valuable for Publishers to be in
1:16:25 these training sets but to be in there
1:16:27 in a in in an accredited way in a
1:16:30 credited way credited not
1:16:33 accredited in a credited way so all
1:16:35 right where's where's my Kaa I had
1:16:42 [Music]
1:16:45 it oh
1:16:47 Kaa where are you all right so Korea
1:16:51 just added this thing called video
1:16:53 generation you do have to
1:16:57 be manage account you do have to
1:17:01 be Crea
1:17:05 Max oh I was upgraded to creax for being
1:17:08 an early Pro user
1:17:13 woo get in early get the benefits I
1:17:16 didn't know
1:17:17 that cool I think that just means they
1:17:20 canceled the pro accounts and so they
1:17:23 upgraded me for my they I got Grand bed
1:17:25 in at the old price okay so the way this
1:17:28 works is you put in a key frame and a
1:17:33 description and so the description is
1:17:35 sort of the length that that key frame
1:17:38 will be doing something and then it's
1:17:40 going to transition to this other key
1:17:42 frame so if I if I put this over into
1:17:46 we'll do film and I say generate video
1:17:58 Instagram just released pay to play for
1:18:00 Creator videos to be pushed out
1:18:04 now pay to
1:18:07 play oh that's
1:18:09 interesting I haven't done [ __ ] on
1:18:12 Instagram I tried Instagram for a while
1:18:14 I put I put my Kyle Shannon dreams
1:18:17 photos on there but anyway look at that
1:18:21 video it made pretty slick
1:18:23 right and it's kind of an interesting
1:18:26 interface um let me pause this so
1:18:30 let's why is it what what is it
1:18:37 doing the hell is all that can I edit
1:18:40 this oh it was enhancing
1:18:44 it can I make this
1:18:47 bigger I can download
1:18:49 it let's download it and see
1:18:57 shank Dan
1:19:03 Dan
1:19:20 [Music]
1:19:22 oops B
1:19:27 pretty cool can we Loop
1:19:30 this let's Loop it people come
1:19:34 on all right here we
1:19:43 go it's pretty slick I mean it's still
1:19:46 got a lot of the weird ass artifacts you
1:19:50 know I don't know what technology cre is
1:19:53 using it might be State uh stable video
1:19:57 diffusion okay so let's we're going to
1:20:00 delete this key frame we're going to
1:20:02 delete this key frame and then we're
1:20:04 going to put we're going to add a key
1:20:06 frame we're going to add a key
1:20:09 frame we're going to add a key frame I
1:20:11 don't know how to add a key
1:20:15 frame anybody buer
1:20:20 buer
1:20:23 buer Shank DK dank dank I
1:20:28 wonder this could be a let me quick
1:20:33 Crome this could be a memory issue in my
1:20:38 browser
1:20:40 shank dank dank
1:20:47 [Music]
1:21:08 champy singing
1:21:11 listen
1:21:13 [Music]
1:21:21 yeah Cedar Hill is a quiet
1:21:27 where the oak trees
1:21:30 s the whistle of the
1:21:33 traino through the
1:21:38 day people GRE you with
1:21:43 a seems
1:21:47 change all right let's
1:21:50 say I'm going to go dreams Let's Go
1:21:53 dreams I'm going to go find some Kyle
1:21:55 Shannon dreams
1:21:59 [Music]
1:22:03 images do I not have this folder on this
1:22:07 computer um let's see I might not
1:22:23 [Music]
1:22:28 [Music]
1:22:36 all right let's go get some weird ass
1:22:38 pictures shall we
1:22:42 um let's see I think they they all need
1:22:44 to be the
1:22:46 same aspect ratio
1:22:52 so that would be a cool one
1:22:57 all right so
1:23:02 let's so export one
1:23:07 photo I'll just drop them on the desktop
1:23:11 like an
1:23:14 irresponsible all right we'll do that
1:23:16 one and that
1:23:21 one all
1:23:23 right boom
1:23:29 and that one all right that's a good one
1:23:32 xort one
1:23:36 photo fantastic Bob tell him what he's
1:23:38 won you haven't won anything this isn't
1:23:41 a game show and my name's not
1:23:49 Bob all right so that's going to be the
1:23:52 first
1:23:53 one and we're going to
1:23:56 say let's
1:23:59 see a mad
1:24:02 robot
1:24:04 turns its head from side to
1:24:09 side
1:24:11 okay and then I'm going to add another
1:24:15 one wait how do I do it
1:24:20 there all right there's that one and
1:24:23 then we'll go
1:24:29 a mad
1:24:30 robot nods its head up and
1:24:34 down all right can
1:24:38 I can I add more can I only do a little
1:24:41 bit oh well okay so fine so we'll do
1:24:46 that there and we'll
1:24:48 do that there we'll
1:24:50 go that there we'll go that there we'll
1:24:55 go
1:24:56 bang we'll grab the third
1:25:03 one and we'll
1:25:10 go an organic
1:25:13 robot
1:25:19 Sprouts a
1:25:21 new root system
1:25:27 root.
1:25:39 root okay and then we're going to make
1:25:41 this
1:25:42 shorter and we're going to make this
1:25:44 longer we going put this in the
1:25:47 middle right there put this in the
1:25:49 middle right there all right and we'll
1:25:52 go let's go experimental I'm going to go
1:25:54 there's four different things you can do
1:25:56 and I'm going to go generate
1:25:58 video all
1:26:00 right that's how you do it it's cool
1:26:02 right so this is by the way if you're
1:26:03 wondering what the hell is he doing it's
1:26:05 Kaa kore.ai which is a weird
1:26:09 tool um I haven't quite figured out how
1:26:11 to use it well and they they just added
1:26:13 this video tool to it
1:26:15 today and so I've made exactly one video
1:26:19 with it so I could be here to guide you
1:26:21 with my deep deep expertise
1:26:23 [Laughter]
1:26:29 ah oh pretty that's actually kind of
1:26:32 cool isn't
1:26:36 it I think if we got I I think that
1:26:39 third one kind of [ __ ] it up doesn't
1:26:42 it let's go find let's go find another
1:26:45 one that's that's sort of just a head a
1:26:47 head facing
1:26:52 forward yeah let's do this one this is
1:26:55 my this is what I call my
1:26:56 Genesis my Genesis picture this is the
1:27:00 very
1:27:00 first image
1:27:03 I um put up for the Kyle Shannon dreams
1:27:12 [Music]
1:27:15 project I'm going to delete that key
1:27:17 frame we're going to add a key frame
1:27:19 we're going go in here we're going to
1:27:20 grab it we're going to go grab it yeah
1:27:22 we're going to grab that we're going to
1:27:23 put it there
1:27:25 then we're going to just say
1:27:29 [Music]
1:27:32 um a cyborg
1:27:40 assassin stares coldly into the
1:27:50 abyss I assume none of none of these
1:27:53 words mean anything
1:27:57 I think it's just doing what it what it
1:27:59 wants to do that was a
1:28:08 nightmare just get related images from
1:28:10 Deco here oh yeah that that would be
1:28:12 interesting Silver Fox why does it tell
1:28:15 me I have to have a code for Korea you
1:28:17 have to be a Max subscriber to be able
1:28:19 to use this particular tool I got
1:28:22 grandfathered in because I've got about
1:28:24 um I was an early Pro subscriber which I
1:28:27 don't think that subscription exists
1:28:30 anymore a little too fast too why does
1:28:32 it tell me yeah
1:28:36 okay I mean that's pretty
1:28:41 cool I don't hate
1:28:43 it I don't know how useful it
1:28:46 is I mean I think the trick with all of
1:28:49 these is going to be like you know
1:28:51 what's the use
1:28:53 case and and can you take the weirdness
1:28:56 of this and and Wrangle it enough to to
1:29:00 understand how to make something fun
1:29:02 with
1:29:07 it here
1:29:16 [Music]
1:29:39 [Music]
1:29:50 Cedar Hill is a quiet town
1:29:55 where the oak tree
1:29:58 sway the whistle of the train Echoes
1:30:02 through the
1:30:06 day people greet you with a
1:30:10 nod nothing ever seems to
1:30:14 change but the story still
1:30:17 [Music]
1:30:18 unfold I mean there's something there's
1:30:21 something there's something there
1:30:24 there's something there for
1:30:26 sure now it only made it Square so it
1:30:29 chopped my
1:30:30 images from their original aspect ra ra
1:30:35 Rao but anyway that's Korea
1:30:39 Korea make another with weird merry
1:30:42 images yeah that's not bad let's go how
1:30:44 do we want to do
1:30:46 this where do I want to go I guess let's
1:30:48 go to I haven't played it with mid
1:30:50 journey in a while let's go to Mid
1:30:51 Journey
1:30:55 mid
1:31:03 Journey oh and then you know we'll do
1:31:05 this right watch so oh sorry hang on
1:31:08 just I just bear with me people you got
1:31:11 an old man using a computer here what do
1:31:13 you want what do you want
1:31:16 competence um where am I going udio
1:31:19 we're going to yudo we're going to go
1:31:21 find weird
1:31:23 Mary we're we're going to grab Yan
1:31:32 lyrics so watch what we're going to do
1:31:34 here
1:31:35 people as I've said many times on this
1:31:38 channel don't use your brain when you
1:31:40 can use
1:31:42 AI so I'm going to take the lyrics of
1:31:44 weird
1:31:45 Mary and I'm going to say based on these
1:31:51 lyrics
1:32:04 describe three different creepy black
1:32:08 and white
1:32:10 images that I can use as
1:32:16 prompts to make spooky photographs
1:32:26 here are other three things lonely gas
1:32:28 station at night
1:32:31 nice weird Mary under the Moonlight
1:32:34 haunting portrait of weird Mary from
1:32:36 Cedar Hills standing
1:32:42 alone echoing train whistle all right
1:32:44 we're just going to grab this and see
1:32:46 how let's see how mid Journey
1:32:50 deals take this mid Journey
1:32:55 [Music]
1:33:04 weird Mary from C to
1:33:20 Hill so I'm going to do um
1:33:32 distressed
1:33:33 old
1:33:38 photo of a haunting portrait of weird
1:33:42 Mary from CA
1:33:45 Hill all right here we go people we're
1:33:48 going
1:33:50 in look at them cute doggy pictures dog
1:33:54 and
1:34:01 kids
1:34:05 d o I bet these would be
1:34:12 cool these these sketchy
1:34:16 drawings those could be cool those I bet
1:34:19 you know
1:34:20 what let's go download some of these
1:34:23 let's let's
1:34:29 get
1:34:31 H let's get these
1:34:36 three
1:34:41 download that's very muddy but
1:34:45 whatever
1:34:49 download oops
1:34:57 download all right so that's that let's
1:35:00 see what we got for weird
1:35:03 Mary yeah these are
1:35:06 good all right
1:35:09 download oh look it says weird Mary here
1:35:12 that's
1:35:13 cool oh that's a great
1:35:18 one that see there's your album cover
1:35:26 [Music]
1:35:30 download I think we'll just do those
1:35:33 three cuz that one
1:35:35 feels
1:35:38 well let's try all four [ __ ] it it's
1:35:42 creepy and good all right back to
1:35:45 Korea where's Korea Korea all right how
1:35:49 do I do new
1:35:56 key frames text
1:35:58 prompts clip duration four five
1:36:03 oh I can do a clip duration of 8 seconds
1:36:06 how long can I go 10 seconds is the max
1:36:09 okay so let's do let's do six
1:36:12 seconds and I guess I can't I guess I
1:36:16 can't do new what's
1:36:20 enhance
1:36:22 generate okay that's images is home
1:36:25 video okay their their interface is
1:36:28 still wonkier than [ __ ] so let's delete
1:36:32 all this
1:36:35 [ __ ] oh I see what it's doing okay so so
1:36:39 basically you get you can drop a key
1:36:41 frame wherever and it gives you a little
1:36:43 grid of 1 second
1:36:46 blocks all right so we're going to go
1:36:50 grab let's go grab weird Mary
1:36:54 what do we want oops did I get the wrong
1:36:56 one oh I did God God dang
1:37:19 it all right there's that one so that's
1:37:23 one two three I think we'll start with
1:37:26 that one cuz that one's [ __ ] creepy
1:37:28 as
1:37:33 [ __ ]
1:37:36 right so there's one second we're going
1:37:38 to add a text prompt of
1:37:45 um Wind
1:37:50 Blows her hair gently
1:37:56 all
1:37:59 right we'll do that as a second and a
1:38:02 half we'll sort of drop that in the
1:38:03 middle I don't know if it matters I
1:38:05 think I think the the text prompt is
1:38:08 what makes the difference but I don't I
1:38:12 don't
1:38:13 know all right let's add a key frame
1:38:16 we're going to go grab a weird
1:38:22 Mary we'll do that one next
1:38:26 next all
1:38:31 right we'll do that and we're going to
1:38:35 go Moon
1:38:40 Rises over her
1:38:43 shoulder all right and then we're going
1:38:46 to go get another one another one
1:38:56 shank tank
1:39:00 tank shank tank at the
1:39:04 tank let's
1:39:09 [Music]
1:39:11 see she dances back and
1:39:15 forth all right we're going to add the
1:39:18 final key frame
1:39:21 in is that the one yeah that's so
1:39:28 one and we'll go like
1:39:32 that okay we'll do this one a little
1:39:36 shorter we'll do this one we'll do this
1:39:39 a we this
1:39:44 little
1:39:47 got we're going to go um
1:39:55 tree branches reach out to grab
1:39:59 her okay I I if you by the way if you're
1:40:03 like boy he really knows what he's
1:40:10 doing I do not know what I'm doing I do
1:40:14 not
1:40:15 know just repeat the image for a few
1:40:18 frames for longevity maybe maybe this is
1:40:21 awesome watching this live thank you
1:40:23 thank you I uh I am in a a flop sweat
1:40:28 panic because I don't know what the [ __ ]
1:40:29 I'm
1:40:30 doing so I'm glad you're enjoying
1:40:36 it I I guess my my advice is as always
1:40:40 just play just just you know don't worry
1:40:43 if you don't know anything
1:40:46 because until today this interface has
1:40:50 never existed in the world and so it's
1:40:53 [ __ ] weird Korea is weird anyway
1:40:58 so like what this is supposed to do and
1:41:01 how you're supposed to do that this is
1:41:03 called Kaa K re a.
1:41:09 A and then you have to be a Max
1:41:11 subscriber to to have access to this
1:41:14 video thing right now they're going to
1:41:15 be rolling this out to everyone to free
1:41:18 users uh
1:41:20 shortly Rudy's here uh Rudy this is
1:41:25 oh yeah this is going to be good all
1:41:26 right let me download this bad
1:41:29 boy oh this is good all
1:41:35 right oh I should used that picture in
1:41:37 it too oh well
1:41:49 [Music]
1:41:53 d
1:41:59 [Music]
1:42:25 [Music]
1:42:27 so actually you know
1:42:30 what so let's go let's go back to chat
1:42:35 J and let's grab lonely gas station at
1:42:38 night so let's grab this and then I'm
1:42:41 going to go back over to Mid
1:42:44 Journey I'm going to go create what I
1:42:47 say a dress distressed old photo
1:42:50 distressed
1:42:56 Dressed old photo
1:43:00 Futo of and then paste in what chat J
1:43:05 gave me after reading our
1:43:07 lyrics right and then let's go back over
1:43:11 and get the whistle of the
1:43:13 train an old rusty train track vantages
1:43:16 in a dense Misty Forest yeah that's
1:43:19 [ __ ] creepy perfect
1:43:24 and then we'll go a
1:43:28 distressed
1:43:30 old photo f
1:43:34 f
1:43:36 of paste
1:43:40 bang so again people this is
1:43:44 listen why use your
1:43:47 creativity when you have ai
1:43:53 was this supposed to be a gas station
1:43:55 what this this the weirdest ass gas
1:43:57 station I've ever seen a desolate gas
1:44:00 station under irie glove an old
1:44:02 flickering Street
1:44:05 Lamp but I mean it's creepy enough like
1:44:08 those four Images melded together are
1:44:10 going to make some weird ass
1:44:13 [ __ ]
1:44:16 right and then so will these tracks
1:44:26 yeah so I mean that's kind of cool so
1:44:28 you could pretty quickly you could
1:44:30 pretty quickly put together you know a
1:44:33 music video This is very there this is
1:44:36 very sort of what Kelly Bosch is up to
1:44:41 [Music]
1:44:57 I've seen lots of AI Instagram models
1:45:00 with short clips as cre mostly what's
1:45:01 used no mostly what's used right now is
1:45:04 Runway Runway ml or Pika where you can
1:45:08 take a starting image and turn it into a
1:45:10 video which is sort of what this is this
1:45:12 is much more you know kind of creatively
1:45:17 morphing these shots together
1:45:24 definitely creative with a Capital
1:45:32 C people GRE you with
1:45:37 aever seems to
1:45:40 change Joker said it right Korea lets
1:45:43 the AI be itself that that's a really
1:45:46 good way to describe it Joker right
1:45:48 because it's just like this shit's just
1:45:50 weird right and it's like
1:45:55 like embrace the Jank right these tools
1:45:57 are not great right now so when you try
1:45:59 to get them to
1:46:01 do what you'd expect professional video
1:46:04 to be they kind of fall on their face
1:46:06 cuz they're just janky the tools are
1:46:07 janky right now so this is like [ __ ] it
1:46:10 the tools are janky let's just smash
1:46:12 that [ __ ] together and see what comes
1:46:15 out I think it's I think it's
1:46:20 interesting I mean it's amazing how it
1:46:22 sort of grows the tree right from down
1:46:26 here and then it grows it up to where
1:46:28 where the original photo was so they
1:46:31 have some sort of algorithm that says
1:46:33 take
1:46:35 the the end point of the image and I
1:46:39 guess it's the key frame it's like
1:46:40 wherever the key frame is oh so that's
1:46:43 actually interesting let's try something
1:46:45 here let me go back to back to the
1:46:49 tool and let me move
1:46:53 I'm going to move the key frame to the
1:46:57 beginning of where the text
1:47:01 is rather than in the
1:47:04 middle we're going to render and I'm
1:47:06 going to see if
1:47:09 it's see if it's more like does it start
1:47:12 with this
1:47:13 image that's going to be interesting
1:47:15 okay let's see
1:47:33 there's a lot of use for this time lapse
1:47:35 look there goes my
1:47:40 tomorrow you should see of the see some
1:47:42 of the Frog things Bondo
1:47:45 does well it's not Bondo
1:47:49 boldron Kyle those train tracks for the
1:47:52 intro
1:47:59 yeah see the H is
1:48:05 [Music]
1:48:14 [Applause]
1:48:19 a s a quiet town
1:48:24 where the old wait wait where the old
1:48:26 tree
1:48:28 sway
1:48:31 um the whistle of the
1:48:34 train Echoes through the
1:48:36 [Music]
1:48:39 day people greet you with a
1:48:42 [Music]
1:48:43 KN nothing ever seems to
1:48:48 change something something something
1:48:51 each unique and strange
1:48:53 [Music]
1:48:57 okay let's see if this
1:49:03 changeed it's going to be
1:49:05 interesting going to be interesting like
1:49:07 to put these two side by side and see if
1:49:10 that made any
1:49:12 difference
1:49:17 shank
1:49:20 shink Shank
1:49:27 all right
1:49:30 so nah they look pretty much the
1:49:39 same yeah they're pretty much the
1:49:44 same oh I didn't Loop this one
1:49:48 loser
1:49:51 loser Welcome to the
1:49:58 [Music]
1:50:05 here interesting interesting interesting
1:50:09 all right let's go make one more let's
1:50:10 go make I wonder I wonder if the
1:50:14 uh I wonder if the text makes any
1:50:17 difference at all let's go kill all the
1:50:20 text
1:50:31 go grab ourselves some train tracks
1:50:35 [Applause]
1:50:40 boom
1:50:44 boom
1:50:47 boom and
1:50:51 boom and let's just let's go Jam those
1:50:54 bad boys in
1:50:56 here key
1:50:59 frame
1:51:01 Swank T
1:51:06 tank all right
1:51:34 [Laughter]
1:51:38 all right
1:51:41 um what am I what what's going on here
1:51:45 no I don't want that get rid of that
1:51:48 let's move these around a little
1:51:50 bit let's move
1:51:55 black and white oh I can't oh yeah I can
1:51:59 great okay we'll do those two together
1:52:02 then we'll do that one then we'll go
1:52:04 black and
1:52:05 white all right here we go
1:52:08 people let's see what we
1:52:11 get I want to do this with with my own
1:52:14 photos you can absolutely do that
1:52:17 actually that's not a bad idea I could
1:52:18 do that with some of my photos oh you
1:52:21 know what might be fun I've got some
1:52:23 really cool Street photos
1:52:27 of neon signs and kfax
1:52:33 [Music]
1:52:35 um
1:52:39 sh these
1:52:45 things yeah these are cool all right so
1:52:49 let's let me go let me grab the best
1:52:53 ones
1:52:54 here oh but I got to grab ones that are
1:52:56 all of
1:52:58 similar similar ilk don't I bang
1:53:02 bang
1:53:05 okay oh we'll grab all five of them [ __ ]
1:53:08 it okay and then we'll do like a
1:53:10 10-second video so export those
1:53:14 five
1:53:16 boom
1:53:19 boom all right there's our creepy ass
1:53:21 train tracks okay those are creepy ass
1:53:23 train
1:53:24 tracks that's [ __ ] cool okay so yeah
1:53:27 Silver Fox you're right this is great
1:53:29 great opening
1:53:31 video for that song because that song's
1:53:33 creepy as [ __ ] at the
1:53:39 beginning all right so we're going to
1:53:41 have train tracks
1:53:44 first we're going to Loop
1:53:50 it oops
1:54:21 d
1:54:28 all right we're gonna do a fake little
1:54:31 we'll do a video a faker Video Edit all
1:54:34 right here we go you
1:54:35 ready so is that looping is this looping
1:54:38 I didn't think I looped this did I no
1:54:41 okay so here we go people
1:54:47 [Music]
1:55:11 [Music]
1:55:22 see Hill is a quiet
1:55:25 town where the oak trees
1:55:29 sway the whistle of the train ech
1:55:33 through the
1:55:36 day then you go to the gas stations
1:55:40 [Music]
1:55:43 here these visuals are made with Korea
1:55:46 video that launched
1:55:48 [Music]
1:55:51 today here we go
1:55:54 she grew up
1:55:56 tough in the town we called
1:56:00 [Music]
1:56:01 Home Folks never took to her no matter
1:56:07 her yeah that's good
1:56:10 okay so let's go let's go make some gas
1:56:13 station images hang on people I can only
1:56:15 go so fast all right so we're going to
1:56:18 go
1:56:20 download all right
1:56:24 we're going to go we're going go
1:56:27 download we're going to go
1:56:30 download and we're Go download all right
1:56:34 all all so I don't think you need to I I
1:56:37 don't know what the text does quite
1:56:39 honestly so so till I get that [ __ ]
1:56:43 figured out just stick images in here I
1:56:47 guess all right so we got that one that
1:56:51 one's different that one's
1:56:53 different so we'll go I think we'll
1:56:56 start with that one then we'll go to the
1:56:58 next blue one okay hang on people just I
1:57:01 I got a plan here stop interrupting
1:57:05 me
1:57:11 sh
1:57:12 shank
1:57:14 Dan that one next or that one next I
1:57:17 think that one
1:57:20 next open
1:57:23 and if you're wondering why am I
1:57:24 choosing one over the other I don't
1:57:26 [ __ ]
1:57:29 know I'm just making this [ __ ] up as I
1:57:31 go
1:57:32 people all right let's turn that into a
1:57:36 badass
1:57:39 video Let's track add the train
1:57:43 image it's Kyle magic yeah what it's
1:57:47 magic all right so let's say uh let's
1:57:51 say uh
1:57:54 [Music]
1:57:57 um give me three more
1:58:05 images descriptions
1:58:10 descriptions
1:58:12 of a freight
1:58:21 train why
1:58:26 through a spooky Valley
1:58:31 comma strange people Milling
1:58:34 about a Tiny
1:58:37 Town
1:58:39 comma and a
1:58:43 sanatorium all
1:58:51 right and old decrepit freight train
1:58:54 that's
1:58:56 great yeah this this this could
1:59:04 work that's so
1:59:10 weird okay all right so let's go grab us
1:59:15 our
1:59:18 video all right
1:59:23 so we go and then we
1:59:26 go I could be putting these into
1:59:29 a video editing tool but that would
1:59:32 resemble
1:59:36 work so there's that one there's that
1:59:39 one and there's that one so we're going
1:59:41 to move this here I'm going to move this
1:59:46 here might as well get that
1:59:48 plain got that one and I got that one
1:59:53 right you see what we're doing here
1:59:55 people all right so here's how it's
1:59:57 going to work
2:00:01 [Music]
2:00:24 [Applause]
2:00:24 [Music]
2:00:36 Cedar Hill is a quiet
2:00:39 town where the oak trees
2:00:43 sway the whistle of the train Echoes
2:00:47 through the day
2:00:52 people greet you with a
2:00:55 nod nothing ever seems to
2:00:59 change but the story still
2:01:02 unfold each unique and
2:01:05 [Music]
2:01:05 [Laughter]
2:01:07 strange she grew up
2:01:10 tough in the town we called
2:01:15 Home Folks never took to her no matter
2:01:20 her tone
2:01:24 longing to be on the
2:01:27 inside Longing To Love just
2:01:31 a oh here let's go let's go have uh chat
2:01:36 GPT make the nervous
2:01:38 Hospital Joker's here we got to make the
2:01:41 nervous hospital for Joker all right um
2:01:46 uh what did I say decrepit oh distressed
2:01:49 distressed
2:01:53 old
2:01:56 photo of
2:02:00 bang the the imposing facade of an
2:02:03 abandoned sanatorium stands against a
2:02:05 stormy sky [ __ ] perfect thank you
2:02:08 chat
2:02:10 jpt for making creepy ass
2:02:13 images can you add video clips instead
2:02:16 of images I do not know let's go
2:02:20 look longing read on the
2:02:25 [Music]
2:02:33 inside no MP4s are not showing up
2:02:40 as as
2:02:43 usable oh yeah this is [ __ ]
2:02:47 perfect right you understand what I'm
2:02:49 saying here
2:02:51 people the nervous
2:02:53 hospital that thing sort of creepy
2:02:56 making okay this is going to be good
2:02:58 we'll do one we'll do one more little
2:02:59 video here it's getting late it's
2:03:02 getting late why are you people still
2:03:03 here who's still here 57 of you
2:03:06 weirdos we're not weird we're irregular
2:03:09 I thought we've covered this Mr
2:03:11 Shannon
2:03:20 sh oops
2:03:34 [Music]
2:03:42 [Music]
2:03:45 weird Mary from Cedar
2:03:50 Hill she's is it she screams when she's
2:03:59 [Music]
2:04:08 blue all
2:04:11 right I mean this is you could this is
2:04:15 absolutely this is absolutely a
2:04:18 storytelling technique right like take a
2:04:22 song every two lines just come up have
2:04:25 chat GPT write you a description come up
2:04:28 with a style like I just did distressed
2:04:30 photo
2:04:32 of and have chat GPT right the
2:04:35 description just [ __ ] knock these
2:04:37 things
2:04:48 out this is
2:04:50 wild how long was this have taken a year
2:04:53 ago I mean that's the thing Joker is
2:04:55 like almost all like even just even the
2:04:59 descriptions having chat GPT write those
2:05:01 descriptions based on the lyrics of the
2:05:04 song like the the thing that I think for
2:05:08 me is the
2:05:11 hardest the hardest
2:05:14 discipline
2:05:16 is letting go of my ego that I have to
2:05:21 solve the problem
2:05:23 right because I immediately go Oh let me
2:05:26 write a prompt in mid Journey no we've
2:05:29 already written lyrics we've already got
2:05:30 imagery right and and you have the
2:05:33 world's most powerful language
2:05:35 processing tool in the history of
2:05:39 humanity like you can use your brain but
2:05:42 if you want to knock out you know an
2:05:44 entire three minute like the weird Mary
2:05:47 song is
2:05:49 um it's like 4 minutes long so if you
2:05:51 want to knock out a bunch of that stuff
2:05:54 sure you can get in there and handcraft
2:05:56 it you can you can do that but you don't
2:05:58 have
2:06:04 to so
2:06:10 cool all right so let's go over
2:06:14 here open that bad boy up go flank the
2:06:19 Flink FL Flink FL
2:06:22 FL
2:06:25 F shr let's get that moving let's get
2:06:28 that
2:06:34 moving um let's see
2:07:04 you with
2:07:06 a ever seems to
2:07:10 change but the story still
2:07:13 unfold each unique and
2:07:16 [Music]
2:07:18 strange she grew up tough
2:07:22 in the town we called
2:07:26 Home Folks never took to her no matter
2:07:34 her longing to be on the
2:07:38 inside longing for love just a
2:07:42 little she found herself as a guest in
2:07:46 the nervous Hospital
2:07:48 [Music]
2:07:48 [Laughter]
2:07:52 weird Mary from
2:07:55 Hill she hows when she's
2:07:59 blue of sadness and shame under the
2:08:06 [Music]
2:08:07 southern but when
2:08:12 behind that's cool that totally works
2:08:15 that totally
2:08:16 works and don't whine Studio musicians
2:08:19 you didn't use lose a job no need to
2:08:22 well that's the thing like we're making
2:08:24 content here
2:08:26 that would would I have ever hired a
2:08:29 musician to do this no would have I
2:08:31 would I have ever hired a videographer
2:08:34 or an Editor to do this
2:08:37 no right so this is this is net new
2:08:40 creative
2:08:41 content and there's going to be so much
2:08:44 of that and it's you know I mean what's
2:08:46 what's inspiring to me about this is
2:08:49 there's going to be people making
2:08:51 content that never had the skills to
2:08:53 make it yeah exactly Joker would have
2:08:55 never been created
2:08:58 right so all right we're going to make
2:09:00 one more because I can't stop I just
2:09:03 can't stop people you understand what
2:09:05 I'm
2:09:06 saying it's just crazy it's crazy it's
2:09:10 crazy all right
2:09:20 [Music]
2:09:28 [Music]
2:09:36 I find his singing rather annoying does
2:09:38 anybody else find it annoying is he does
2:09:41 PE do I have a question is is anybody
2:09:45 enjoying this does anybody enjoy I don't
2:09:48 know what what how how long do you watch
2:09:51 this
2:09:53 [Music]
2:10:14 all right so now we got so this is made
2:10:17 of photographs Kyle are you manipulating
2:10:20 the song trcks manually
2:10:24 adjacent to the
2:10:26 videos no well what I was I just have
2:10:30 quick time open and I have a bunch of
2:10:32 video windows open and I was just
2:10:34 clicking between them as the song was
2:10:35 playing I love your sound
2:10:40 effects I could just listen to Kyle
2:10:42 making humming
2:10:43 [Laughter]
2:10:49 songs sh
2:10:52 you can make
2:11:06 money oh lordy lordy lordy lordy lordy
2:11:10 lordy lordy
2:11:16 lordy yeah I was just manually clicking
2:11:18 between between
2:11:23 movies it's you know it's just a it's
2:11:26 just a way to get a sense
2:11:28 of because I I one of the problems with
2:11:31 any time-based media is that it's
2:11:34 [ __ ] infuriatingly time consuming to
2:11:37 do to do even remotely well so if you
2:11:40 can if you can find a way to sort of
2:11:42 quickly visualize something to see if
2:11:44 it's going to
2:11:46 work then do
2:11:48 that yeah this doesn't really work it's
2:11:51 kind of inter interesting but it doesn't
2:11:52 really work does it ah maybe it
2:11:55 does it's
2:11:58 weird
2:12:05 [Music]
2:12:15 huh I mean that's kind of
2:12:19 surreal so it's not really taking my
2:12:21 photographs but it's certainly taken the
2:12:23 style of my
2:12:26 photographs right like the clouds are my
2:12:30 clouds and the kind of weird angles or
2:12:33 the you
2:12:36 know that's weird that's that's that's
2:12:38 actually really interesting cuz
2:12:40 it's it's it's very divorced from my
2:12:45 photos but it like it feels
2:12:49 familiar and look at the cool dude
2:12:51 walking it like makes the dude walk
2:12:54 right here
2:12:57 right [ __ ] weirdo that was so funny
2:13:01 that picture this picture
2:13:05 here um so this was just a day I was I
2:13:10 was walking up and down Co I was driving
2:13:13 down kfax so kfax is just this creepy
2:13:16 like Route 66 kind of drug drug Den you
2:13:21 know hookers and druggies Road in uh in
2:13:25 Denver and it's got all these cool old
2:13:27 signs so I was taking a picture of this
2:13:29 sign and this guy just walked up to the
2:13:31 office and the the office was locked he
2:13:34 just stood there I'm like taking
2:13:36 pictures he just stood there for like 10
2:13:39 minutes just didn't move just like
2:13:41 [ __ ] Zone it out waiting for someone
2:13:43 to show up [ __ ] weird ass weird ass
2:13:50 people this one was really cool this was
2:13:53 um I was I was crossing cax and cuz
2:13:59 there was there like the sun was hitting
2:14:01 the sign just right and as I was
2:14:04 crossing I noticed this little beam of
2:14:07 sunlight on the the these people smoking
2:14:10 cigarettes outside the bar so I just got
2:14:12 down on my knee in the middle of kfax
2:14:15 Avenue with like cars
2:14:17 like I took that shot that was a cool
2:14:20 shot
2:14:24 ah all right well I hope that was fun
2:14:27 that was kind of chaotic but you know
2:14:31 chaotic but
2:14:34 zany all right everybody hope you
2:14:37 enjoyed that if you like this keep
2:14:39 coming back to these the the whole
2:14:41 purpose of this channel is just to have
2:14:45 us hang out and play together like while
2:14:49 I'm doing this hopefully you're like
2:14:51 playing as well and playing with other
2:14:53 tools and tripping out
2:14:56 and they're just smoking
2:15:00 weed waiting for me to make a stupid
2:15:03 sound that works
2:15:05 [Laughter]
2:15:15 too weird Mary from seder Hill
2:15:24 let Mr K
2:15:27 teach those sons of
2:15:35 [ __ ] chef's kiss on the sound
2:15:39 effects it definitely helps playing
2:15:42 thanks Mr Kyle this morning was great
2:15:44 it's now 6:15 a.m. yeah we we uh we
2:15:48 we're Rudy's uh Rudy has a coffee and an
2:15:51 AI learning lab now he's ready to start
2:15:53 his
2:15:57 day oh man we we got uh we got labbers
2:16:02 from all over the world um okay so um
2:16:07 follow my channel if you have not
2:16:09 followed do
2:16:12 that um I love talking about the AI
2:16:15 current events and playing with the
2:16:17 tools yeah it's good it's it you know
2:16:20 it's a bit exhausting we're also we're
2:16:22 we're in a weird lull and I think it's I
2:16:25 think it's going to accelerate here in
2:16:26 the next month or
2:16:28 so um but even though we're in a lull
2:16:31 like you know three major things
2:16:33 launched today and some of the stuff's
2:16:34 esoteric and weird like Alpha fold
2:16:38 3 all right whatever I showed I just got
2:16:41 restricted for audiences oh because I
2:16:44 said smoke weed that's what it
2:16:46 was thanks AI our overlords are
2:16:50 listening office hours tomorrow yes so
2:16:53 if you want to if you want to hang out
2:16:55 tomorrow I do office hours on LinkedIn
2:16:58 it's at 11 a.m. U mountain time so
2:17:02 whatever time where wherever the [ __ ]
2:17:04 you all are um but if you want to hang
2:17:06 out it's it's a really good group it's
2:17:09 it's turned into kind of a mastermind
2:17:10 group of people that are doing
2:17:11 interesting stuff so yeah come hang out
2:17:14 tomorrow and uh what else it's Thursday
2:17:18 night I can't believe how fast these
2:17:20 weeks go
2:17:22 but we'll we'll do some stuff we'll do
2:17:24 some stuff tomorrow I don't know what
2:17:25 I'm going to talk about didn't know we
2:17:28 were allowed to do that do what oh smoke
2:17:32 weed apparently only adults are allowed
2:17:35 to smoke weed who F who
2:17:41 [Music]
2:17:42 knew all right so who's here tonight Dr
2:17:45 Jay good to see you Joey Danielle thank
2:17:48 you so much as always thank you mods
2:17:52 Dey is here AI Bob is here cim katkin
2:17:56 from Cleveland Rudy good to see you
2:18:03 Tom I on China's here I on China
2:18:06 answered your question today so
2:18:08 recommend paying for Korea basic
2:18:16 um if I didn't have this channel I don't
2:18:19 think I'd pay for Korea no
2:18:23 I mean for
2:18:27 me like if you if if you're kind of an
2:18:30 AI innovator at work and you can get
2:18:32 them to give you like a 200 Buck a month
2:18:36 budget I'd probably put Kaa in the mix
2:18:41 but if you're trying to like figure
2:18:43 out maybe a $50 a month budget for AI
2:18:47 tools this isn't one I'd put in there
2:18:51 I definitely put in chat GPT I
2:18:54 definitely put in mid
2:18:59 Journey I'd
2:19:02 probably I'd probably put some money
2:19:05 into hey Jen or did or Runway or paa
2:19:10 depending on what you're trying to
2:19:13 do cuz cuz haen and and did are more
2:19:19 like Avatar creation and Runway and Pika
2:19:23 are more like what we did here like you
2:19:25 know actual video stuff but even that
2:19:29 like Runway isn't all that great it's
2:19:32 going to be good at some point but it's
2:19:34 not it's not super great and we're all
2:19:36 kind of waiting for soraa and then Sora
2:19:38 is probably going to be expensive and
2:19:40 slow so it's not going to be for
2:19:44 everyone so I don't know I would put I
2:19:47 would put
2:19:48 Korea in the mix if you can spend 200
2:19:51 bucks a month but not in the mix if you
2:19:54 only want to spend 50 or
2:19:56 60 that's that's that's sort of where I
2:19:59 go and if you can only pay if you can
2:20:01 only afford 20 bucks a month it's chat
2:20:03 GPT hands
2:20:06 down all right
2:20:08 everybody all right what's that are you
2:20:11 going to finish your Korea based music
2:20:13 video nah it's too late I've got the
2:20:18 images oh let me see what um I mean I'll
2:20:23 probably finish it I'm just not going to
2:20:25 finish it live here
2:20:27 tonight oh I didn't I didn't I just did
2:20:29 the uh the sanatorium I didn't do the
2:20:31 other
2:20:33 images I think I'll yeah I I might do it
2:20:36 I don't know I've got add like I feel
2:20:39 like I feel like I understand it enough
2:20:41 now to do
2:20:44 it I've got something cooking right now
2:20:47 with with the weird Mary song that I'm
2:20:49 excited about that I don't want to talk
2:20:50 about about just yet until I'm sure it's
2:20:53 going to happen um so when that does
2:20:57 I'll tell you so so we'll
2:21:00 see I'll leave you with that tonight
2:21:03 peace out everybody thank you all um
2:21:06 really good hanging out with you I'll
2:21:07 see you tomorrow and if you want to hang
2:21:09 out at office hours just check on
2:21:11 LinkedIn in the morning I usually post
2:21:13 the reminder at like 8 7 or 8 in the
2:21:15 morning so it'll be up there it's called
2:21:18 AI office hours with Kyle or something
2:21:21 like that congrats on passing 35,000
2:21:24 followers thank you so much I know hit
2:21:26 the hit the big time
2:21:28 now Tik Tok doesn't care like my video
2:21:32 views have gone down dramatically as my
2:21:35 follower counts gone up something's up
2:21:37 with the algorithm I don't know but i'
2:21:39 I've heard other Tik Tok uh creators
2:21:41 bitching about it so it's not just me
2:21:43 but it's it's kind of depressing it's
2:21:45 like you're like [ __ ] hustling to get
2:21:47 some you know engagement it's just like
2:21:49 your numbers like
2:21:50 [Laughter]
2:21:53 you know what they should do they should
2:21:55 ban this
2:21:57 app I you know what I'm going to write
2:21:59 to my congressman that's all right peace
2:22:03 have a good night everybody