3/24/2025 - AI Readiness: Thriving in the Age of AI Transformation

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Transcript

0:04 [Music]
0:21 girl you're
0:25 looking find tonight
0:28 [Music]
0:30 never fellas got you in his
0:35 [Music]
0:37 SES what you do it with a CL like
0:44 Meely one of laugh
0:48 little
0:49 [Music]
0:55 Myer Stars
0:58 [Music]
1:07 what did I
1:09 do what did I
1:12 say to turn your
1:15 [Music]
1:17 angel my
1:19 [Music]
1:23 way D the GU they never learned to dance
1:29 [Music]
1:32 never even got one Second
1:38 Glance cross crowd room that was close
1:45 enough I could look but I
1:49 could
1:50 never so do not iar
1:55 [Music]
2:01 how
2:02 [Music]
2:07 did I
2:08 [Music]
2:16 do happy Monday good people what's
2:19 happening what's shaking what's going
2:24 down I'm a little early tonight so
2:27 people are probably probably have their
2:29 timer set
2:32 [Music]
2:43 oh
2:45 [Music]
3:03 Freedom came my way that
3:06 night
3:09 yeah just like a jet
3:12 play in and out
3:16 side I Wasing a million miles hour
3:22 wondering
3:24 how out
3:28 here they came
3:30 [Music]
3:31 the
3:35 station they said I was bad Beyond
3:41 repairs but I got no quals with my
3:47 situation say Here I
3:53 [Music]
3:58 Am say sh Shere Shere won't you dare
4:04 to say Shere Shere Shere won't you dare
4:10 to say Shere Shere
4:14 [Music]
4:19 Shere yeah a message and your number
4:26 please take a time to want to satis for
4:31 [Music]
4:33 me take all these old
4:37 fantasies send of
4:41 [Music]
4:47 me hope you're doing well good people
4:50 I'm a little uh a little under the
4:52 weather I've got a scratched cornea and
4:54 it's so it's hard to it's hard to
4:58 see and it hurts
5:02 but but I'll do the best I can I will do
5:05 what I
5:06 [Music]
5:11 can there we
5:15 are I am also without a producer tonight
5:18 Brandon producer Brandon is in Vegas
5:23 baby so hopefully I'll have a a mod or
5:26 two on on the Tik Tock keep the Tik Tock
5:29 in order and then I just got to you know
5:31 deal with the uh camera tabs
5:37 situation oh
5:41 man I worked on a uh a framework today
5:45 so an Murphy and I have got this AI
5:47 Readiness project and we're putting
5:49 together this training along with Vicky
5:51 Baptist which is coming
5:53 soon and
5:56 uh but we needed a framework we needed a
5:58 framework to talk about independ depend
6:00 of the training so I worked on that
6:01 today I've got a I've got a talk I'm
6:04 doing on
6:06 Wednesday and so I figured I might pre
6:08 preview that for you guys
6:10 tonight how the heck did you scratch the
6:12 cornes what's happening baby uh I
6:16 scratched the cornea I probably tore it
6:19 like 30 years ago I retesh you probably
6:23 actually remember remember Max and Cleo
6:25 our two
6:27 Labs uh I was going in for a good dog
6:31 kiss on the face of Cleo and one of her
6:33 whiskers just poked me right in the
6:35 eye um and it scratch the cornea and
6:39 then whenever I if I if I get dehydrated
6:42 at night if I don't drink enough water
6:44 it like you know my eyelid sticks to my
6:46 corny or whatever and it just like
6:49 aggravates
6:50 it so yeah so I'm in the middle of
6:55 that retesh Patel is one of my best
6:59 mates in all of the in all of the earth
7:02 he's an amazing amazing man he was
7:05 my at um at agency.com back in the olden
7:09 timey days and now he's a uh Big Shot
7:13 innovator in the
7:16 uh oh yeah I remember yeah yeah they
7:19 were crazy those two dogs weren't they
7:21 Max and
7:21 Cleo Rees just got a new gig he's an
7:25 innovator in the healthc care space does
7:28 amazing amazing work so good to see you
7:31 buddy um so I've been I I I am I am
7:36 increasingly
7:40 increasingly
7:41 convinced that none of us can really
7:44 prepare for what's
7:46 coming um that it's coming fast and that
7:50 there's a fallacy right now about being
7:53 AI literate people are talking about
7:55 being AI literate I don't think you can
7:57 be I think things are changing too fast
7:59 but
8:00 that's not to say that you can't be
8:02 ready for AI um prepared for what's
8:05 coming um and I'm calling that AI
8:07 Readiness rather than AI literacy and so
8:10 that's the thing I've been thinking a
8:11 lot about over the past two months um
8:14 and the more I think about it the more
8:16 right it feels and generally with me
8:18 that's how it goes I'll think about
8:20 something I I have brain farts all the
8:22 time and most of the times you know like
8:24 good gas they just they just move on
8:26 they just pass along and never think
8:28 about them again but
8:31 sometimes they
8:32 [Music]
8:34 stick and uh AI Readiness is one of
8:38 those that's sticking I was thinking
8:40 about that too there's so many AI tools
8:42 to keep up with for all sorts of things
8:44 yeah and and so so I put together a
8:47 framework so I thought what I might do
8:48 tonight is actually I'll run through the
8:51 the presentation that I'm going to give
8:52 at this event on uh on
8:55 Wednesday um
8:58 and and then you can tell me if it sucks
9:01 or
9:05 not because I trust you all more than I
9:08 trust most other people with retesh is
9:11 the exception I don't trust him at all
9:14 you know not at all he'll tell me it's
9:16 great he'll be like yeah yeah dude
9:17 that's awesome go do that and then you
9:19 know it's just you got to be careful
9:21 with him super nice guy incredible
9:24 remarkable dude but you know
9:30 everyone should be AI curious yeah
9:31 exactly well I think I think uh
9:34 curiosity retesh is
9:36 actually the foundation of AI Readiness
9:39 starts with curiosity and play um and
9:43 and it's so funny
9:46 it's where I go
9:49 with where where I started with AI was
9:53 where we always start with computers
9:55 which is I can take my current work and
9:57 make that more
9:58 efficient and and what you discover the
10:01 more you dig around with AI is that it
10:03 can not only make you more efficient but
10:06 it it can actually amplify your ideas
10:08 and it can give you skills and
10:10 superpowers where you never thought
10:12 you'd have them and the only way that
10:14 you can actually discover all of the
10:16 things that it can make possible for you
10:18 is to play without
10:21 expectation right you know don't go into
10:23 it thinking I'm not a coder or I can't
10:27 write music or I'm I'm not I don't have
10:29 a creative bone in my body I can't make
10:32 pictures you actually
10:34 can and with AI it it will reveal things
10:39 to you about who you are and what
10:42 you want to accomplish that you never
10:45 thought possible and the only way to get
10:47 there is through play and curiosity and
10:49 things like that figure out what sucks
10:51 don't do that fores it is totally back
10:53 to the early days of agency.com it
10:56 really is it it's it's it's just no
10:59 different it's everyone's trying to
11:01 figure it out I mean the big difference
11:03 between now and the early days of the
11:05 web is that the the web was essentially
11:07 one thing right it was the hypertext
11:10 transfer protocol in the web browser
11:13 right it was hyperlinks it turned the
11:15 internet from command line into
11:18 clickable and and as silly as that
11:22 sounds that's the primary Innovation
11:24 it's just that it it connects data from
11:28 different computers at the click of a a
11:30 mouse or at the tap of a phone
11:35 um and this AI stuff is is just you know
11:38 a million times more sophisticated Vibe
11:41 Cinema what's happening good to see
11:44 you um so I think that's what we'll do
11:47 tonight we we'll go through the uh the
11:49 AI Readiness uh
11:52 [Music]
11:54 framework are you official Little
11:56 Caesars
11:59 [Music]
12:02 [Applause]
12:07 [Music]
12:18 oh
12:20 chiy he's back at
12:24 it in a Westerly Direction
12:28 [Music]
12:31 car is my
12:33 train I've been driving I've been
12:36 [Music]
12:37 wondering what it is I'm running from
12:42 again feel like an 80y old
12:46 man holding on to
12:50 29 and upe on that Horizon you done
12:54 singing
12:55 champy is California live
12:58 [Music]
12:59 [Applause]
13:02 [Music]
13:05 ah had trucks carrying a wide
13:08 load brib house could
13:12 I cute little front door and two windows
13:15 my does Tom does Champion a perfect
13:18 pitch he has better pitch than I do I'll
13:20 tell you that
13:23 much oh man all right so let's get let's
13:27 get started we'll jump right in so
13:28 here's the deal if you've never been
13:29 here before I'm Kyle Shannon this the AI
13:31 learning lab if you have questions about
13:33 AI pop them in the comments I will
13:36 always have an opinion about something I
13:38 occasionally know something but it's
13:41 very rare uh the nickname of the channel
13:44 is chat
13:45 add so so the the odds of me completing
13:49 a sentence or a thought are low but the
13:53 the odds of of H festivities are
13:57 high all right Kyle from Ocean should we
14:01 judge
14:02 AI should we judge AI or shouldn't
14:07 we also how soon will AI be able to
14:11 assist humans IQ uh I think
14:15 AI is already assisting my IQ I I mean
14:18 ai ai at this point is significantly
14:22 beyond my intellectual capacity so so it
14:26 is it is augmenting me daily so I think
14:28 that ship has already sailed
14:31 um and I I don't quite know what you
14:33 mean should we judge it or
14:36 not Vibe Cinema I I officially started
14:39 my old man phase of life this weekend G
14:41 to need regular physicals from here on
14:44 out I'm afraid well yeah welcome to it
14:47 welcome to the
14:49 party it sucks it
14:52 sucks um should we judge AI I don't know
14:55 what you mean by that
14:59 or shouldn't
15:01 we if you're asking should we think
15:03 critically about what AI does yeah like
15:07 that's a
15:08 requirement that's an absolute
15:10 requirement buffering buffering every
15:12 day I'm buffering oh boy well that
15:19 happens all right chat TMZ I got to do
15:22 my black bar for the Tik Tock
15:24 people chat TMZ yeah I don't have any
15:27 good uh I don't have any good gossip
15:29 today I should probably be following the
15:33 uh Ryan Reynolds Blake Lively Justin
15:36 baldon thing so I can give you guys
15:38 updates on that a lot of drama there um
15:42 and and you know that like I think it's
15:44 even affecting retesh the uh the
15:47 footballers over there in that that
15:48 England you know the you know the
15:51 country over there you I think you
15:53 visited there
15:56 once sharp shirt Kyle thank you thank
15:59 you very much I don't know what's going
16:00 on with the hair it's it's a little the
16:03 hair is a little sculpted it kind of
16:05 looks like I made it out of
16:09 Play-Doh and stuck it on my my bald ass
16:13 [Laughter]
16:17 head all right let's get let's get going
16:20 let's get this sh on rude on rude
16:23 yeah yeah I'll tell you
16:26 [Music]
16:28 what all right so here's the
16:32 presentation trying to figure out how to
16:34 do this best for the for the ticktockers
16:37 so they can see it there we go that's
16:39 pretty
16:41 good all right
16:45 um so
16:48 Wednesday England did well today beat
16:50 lvia three nothing 3-0 sorry three nil I
16:55 hope you I hope you celebrated with a
16:57 butter and cucumber sandwich with the
17:00 crust cut off of
17:02 course because you're you're
17:08 proper ret is a bless I miss you man I
17:11 gotta I gotta get out to New York and we
17:13 have the we have the 30th year
17:15 anniversary coming up
17:16 right yeah we do Jesus 30 years man
17:20 that's crazy when are we doing that may
17:23 is that
17:26 may absolutely nuts
17:30 all right you just look like you come
17:32 with the Barbie condo set with that hair
17:36 my grandma made me sick with cucumber
17:38 and butter sandwiches Vicki's from
17:41 Australia I swear to God man the first
17:44 time I went to our London office of
17:46 agency.com and they brought out
17:48 sandwiches or no it was for British
17:50 Airways it was when when we were
17:51 pitching British Airways rsh I remember
17:54 them like we had we had flown you know
17:58 all night
18:00 from New York to London we get to London
18:02 we have this big meeting where they're
18:03 tearing us a new [ __ ] and they bring
18:05 out these sandwiches and these little
18:08 triangles and I go to eat one and it's
18:10 just butter and a cucumber and I almost
18:13 threw it up right there on the spot I'm
18:16 like where's the
18:17 sandwich it was bad it was bad it was my
18:22 first lesson in international
18:25 cuisine it was not a good one
18:31 oh you lived in Australia for for oh
18:33 you're from England I thought you didn't
18:35 have an Australian accent you lived
18:36 there for 17 years okay that that
18:38 confused me so now that makes sense
18:41 Water Crest sandwiches ex exactly
18:44 exactly it's just like it's like in
18:46 England it's like
18:49 they it every piece of
18:52 food especially fancy tea time Foods
18:56 it's like they ran out of ingredients
18:58 and it's like well we got butter and
19:01 some weeds yeah just put them on the we
19:04 just have this white
19:06 bread just like cut them cut them in in
19:10 right angles people will think they're
19:13 fancy jam on
19:16 toast baked beans on toast I can get
19:18 down with baked beans are still
19:21 tasty oh man oh that's hilarious what
19:24 state am I in I'm in
19:27 colara oh what what what what state is
19:30 Vicky in I think she's in Illinois
19:34 right jamont toast is a southern thing
19:37 too yep Fallen okay Fallen sule all
19:42 right so here's what we're gonna do so
19:43 if you're in the um Colorado the Denver
19:48 area um Wednesday from 4:30 to 6:30 um
19:53 I'm speaking for this Colorado companies
19:55 to watch um panel on a I in the future
20:00 of business and so this is my this is my
20:02 presentation um okay so let
20:06 me get to the right screen here all
20:10 right so I I'm only showing this slide
20:12 because I just one of the nice things
20:14 about mid journey is you can take shitty
20:17 pictures of yourself and make yourself
20:19 look way hipper than you are so if you
20:22 haven't played around with character
20:23 reference is character reference is in
20:25 mid Journey you should do it because
20:27 it's a lot of fun now in order to get a
20:30 picture that's hip like this one I had
20:33 to suffer through probably 50 pictures
20:35 of me just looking like a
20:39 gargantuan just
20:41 embarrassingly hideous person based of
20:45 course on my
20:47 photo so it took me a while to get one
20:50 where I looked hip but I'm pretty happy
20:52 with that um okay
20:56 so so let's dig in here um last Thursday
21:00 a podcast came out um called stratechery
21:04 which I haven't heard of before uh but
21:06 I'm going to start listening to it and
21:07 they did an interview with Sam Alman and
21:10 in the Strater podcast Sam Alman said
21:13 this the people who are going to thrive
21:16 in this new era are the ones who treat
21:19 treat learning AI not as a one-time
21:22 skill but as a lifelong
21:25 interaction this isn't about mastering a
21:27 tool it's about develop in a
21:29 relationship with a new kind of
21:32 intelligence that quote to me is it like
21:36 it it really encapsulates the thing
21:38 that's kind of been burning in my brain
21:40 that we keep talking about these tools
21:43 we kep keep talking about the technology
21:45 we keep talking about the features we
21:47 keep talking about the new
21:49 models the tools at this point are way
21:53 more than single tools they're they're
21:55 now ecosystems and and if you want to
21:57 accomplish anything with
21:59 you're you're generally mixing and
22:01 matching lots of tools this is again
22:04 retach back to the early days of the web
22:06 right where we're duct taping you know
22:08 pieces of Technology together that turn
22:10 it into something coherent because you
22:12 know no infrastructure has been built
22:13 yet we're very much in the same place
22:15 with AI but these tools are already
22:19 significantly beyond anything we've ever
22:21 had before and
22:23 so flipping the switch in your brain
22:26 from I configure this thing this thing
22:29 out is really def redefining this
22:33 thing
22:36 um all right fantastic let's see Kyle
22:41 where did you get that slide animation
22:44 from which slide
22:47 animation that's just keynote the one
22:49 where I wiped it and Faded [ __ ] in
22:52 that's just from
22:54 keynote like the oh all these background
22:57 images I did in uh midj
22:59 so one of one of my New Joys in life is
23:03 mid Journey mood boards if you haven't
23:05 played with them I can go show you how I
23:07 made all these images um Mid Journey
23:10 mood boards are incredible because you
23:12 can do things like take Sam Alman like I
23:14 just took a picture from him from from
23:17 an article and pasted it in as a
23:19 character reference and just did I don't
23:21 know 20 or 30 images that used him as a
23:24 character reference and this was one of
23:26 the images that came out which I just
23:28 love
23:29 um but but yeah all of these all of
23:31 these images are from the AI Readiness
23:34 mood board that that we created for for
23:37 the new
23:39 podcast hi peeps hello hello good to see
23:42 you okay so AI Readiness let's define
23:47 it AI Readiness is when you're curious
23:51 enough to explore bold enough to
23:53 experiment and wise enough to elevate
23:56 with a with generative AI so you can
23:59 Thrive as the world
24:02 transforms bold curious enough to
24:05 explore bold enough to experiment and
24:08 wise enough to elevate or lead with
24:11 generative AI so you can Thrive as the
24:15 world
24:16 transforms make no mistake the world as
24:19 we know it today in in likely all
24:22 aspects but but particularly in business
24:24 and work is not going to be the same
24:28 five years from now as it was five years
24:31 previous it's just going to be a very
24:32 different thing and and so it is it is
24:36 those who kind of step onto the field in
24:38 this in this
24:40 phase it's not about technical Mastery
24:43 it's about your ability to play adapt
24:46 and lead lead
24:49 others critical absolutely [ __ ]
24:52 critical that that you have a sense of
24:56 play You're adaptable
24:59 and you're in community and ideally
25:01 you're leading in community retesh my
25:04 buddy from agency.com one of the best
25:07 people I know in on the planet for
25:10 networking and building community and
25:13 maintaining Community he's incredible at
25:15 it um I don't know if you know this I
25:18 really look up to you for that it's it's
25:20 it's a thing that I am I am woefully
25:23 inadequate at but you know okay so
25:29 what's the journey look like the journey
25:30 to AI
25:32 Readiness is actually quite simple it's
25:35 not easy but it's
25:38 simple so the journey to AI Readiness is
25:41 is three things in my opinion the first
25:43 one is
25:44 explore that you have to have this sense
25:46 of adventure you have to have the sense
25:48 of curiosity play first Tinker boldly
25:52 break things with
25:54 curiosity and especially as you're
25:57 exploring explore beyond your boundaries
26:00 explore those areas where you think you
26:02 don't have any talents or skills if
26:05 you've never written an application
26:06 before go to lovable. deev and start
26:09 describing an application you want
26:12 built and it will build it for you it
26:15 will do the code it will do the
26:17 interface and within 15 minutes to an
26:20 hour you will have built something in
26:24 code that you didn't think was
26:27 possible if you're a
26:29 coder and you're like I can't make
26:32 images oh those images are so cool I
26:34 couldn't do that go teach yourself mid
26:36 Journey go outside of your bounds so
26:38 that's that's step one step two is
26:42 experiment mindfully create with purpose
26:45 skill and care this is basically find
26:47 problems that need to be solved take
26:50 what you learn during the explore phase
26:52 and apply that to solving some problem
26:55 start experimenting come up with a
26:57 hypothesis huh I think I could come up
27:00 with a whole marketing strategy in about
27:01 an hour if I did it right and then go
27:04 prove that you can do it or
27:08 not and then the the third um step on
27:12 the journey to AI Readiness is to
27:14 elevate generously lead Learn out Loud
27:17 help others rise so this is
27:20 about not just making it about you but
27:23 sharing with others and get in
27:25 communities where that's part of the
27:27 culture
27:29 because you'll share something that you
27:31 learned and it will be a revelation for
27:33 someone they'll share what they learned
27:35 they'll think it's obvious to them and
27:37 not valuable because it seems obvious
27:40 and you'll look at that and go oh my God
27:42 I learned something new
27:45 today that's also how we're going to
27:47 hire people moving forward we're not
27:50 going to hire people for their
27:52 skills I'm going to assume because
27:55 you've got AI that you can code and that
27:58 you can make images and that you can
27:59 write songs and that you can write
28:02 business plans and marketing
28:05 plans so I'm not going to hire you for
28:08 the
28:08 skills why am I going to hire you well
28:11 I'm going to hire you because we worked
28:13 together 30 years ago or I'm going to
28:15 hire you because you're in that AI Salon
28:17 thing that I started and you actually
28:19 show up and and deliver and you have
28:23 integrity I'm going to hire you because
28:25 of who you are not what you know
28:28 the what you know part the skills
28:32 part AI is going to do a lot of that I'm
28:36 GNA hire you because you have
28:39 taste and you have good judgment How
28:41 will I know that only by working with
28:44 you only by experiencing you community
28:46 is the place to
28:47 be and
28:50 then this little journey to AI Readiness
28:53 this is not a linear thing it's not step
28:55 one two three I'm cycling through these
28:58 through these three steps like every
29:01 day like ah I don't think I I don't know
29:04 how to do this oh let me just go try
29:06 something I'll go explore huh that seems
29:08 like it worked let me go experiment it's
29:10 not quite ready for prime time but
29:12 that's kind of interesting hey guys look
29:14 what I just learned right it's it's it's
29:17 a daily you know you could take this
29:21 this this sort of
29:23 threep three-step thing and you could
29:25 say one hour a day I'm going to do all
29:27 three of these in one hour I'm going to
29:29 go learn something new I'm going to try
29:30 to apply it and then I'm going to tell
29:32 people what I learned set a timer for
29:35 yourself wake up an hour early set a
29:38 timer for yourself and go play that like
29:42 90%
29:44 of your ability to be awesome in the new
29:47 AI world will
29:50 be being able to iterate through this
29:53 three steps over and over and over
29:56 again um
30:00 my daughter's finally using AI for her
30:03 nonprofit grant writing she's pretty
30:05 excited about it she she should be it's
30:07 really good at writing
30:10 grants yeah that's good that's
30:15 awesome chat GPT upgrade looming oh is
30:18 chat GPT being a pain in the ass they
30:20 well they've got we've got chat G pt5
30:23 coming I thought they said
30:27 May but we might get it earlier okay so
30:31 let's move on the AI Readiness
30:34 framework
30:36 so so these five pillars that I'm going
30:38 to talk
30:39 about are
30:43 um are the basis of the AI Readiness
30:46 training program that M Murphy and I put
30:48 together um along with with Vicky
30:50 Baptist so the first one is um
30:53 generative AI exploration I I'll dig
30:56 into each of these but basically that's
30:58 play that's your explore
31:01 that to to be AI ready you you have to
31:05 be in a constant state of exploration
31:08 things are absolutely changing too fast
31:11 in fact Ethan mullik um wrote a piece
31:13 about this last week or the week before
31:16 where he basically said the stuff that
31:18 you you know the cert the the AI
31:21 certificate you got you know six months
31:24 ago or the the training that you took or
31:26 the thing where you thought you had
31:27 mastered the tool is probably irrelevant
31:30 today and that's going to keep happening
31:32 like that you're going to keep learning
31:35 new stuff get your head head around
31:38 something and then a new technology is
31:39 going to come out that just makes
31:41 whatever that knowledge was obsolete for
31:43 whatever reason you don't need to do it
31:45 anymore there's a better way to do it
31:47 now you've just moved on and nobody does
31:49 that kind of stuff anymore um so so
31:52 exploration the second pillar is about
31:55 thinking about AI in the context of
31:57 business the third one is thinking about
32:00 AI in the context of the creative
32:02 process the fourth pillar is about
32:05 responsibility and ethics and security
32:09 and innovating in as responsible a way
32:13 as possible because everything is moving
32:15 so fast there are massive opportunities
32:18 to really [ __ ] things up so it would be
32:21 swell if you didn't do that um and then
32:25 the the fifth pillar is putting all this
32:27 stuff into action ction really stepping
32:30 into using everything that you've
32:33 learned and applying it to business and
32:35 creating Frameworks and workflows and
32:37 things like that and knowing that
32:41 everything that you build will likely be
32:43 obsolete in six months to a
32:46 year and not only being okay with
32:50 that
32:52 but essentially embracing that that's
32:55 that's where I think we go all right uh
32:58 so so the first the first pillar
33:00 generative AI exploration start with
33:02 Wonder stay curious stay
33:05 Hands-On so teach yourself teach
33:07 yourself if if you haven't really
33:09 explored it like what is generative AI
33:11 we've been talking about AI for ever
33:15 right but what is generative AI like
33:17 where did it come from why does it
33:18 matter
33:19 now why is November 30th
33:23 2022 an incredibly important date in
33:26 history
33:29 and if you don't know go ask chat GPT
33:31 What's significant about that
33:34 date start exploring use cases across
33:38 Industries like outside of your
33:40 industry use it for hobbies use it for
33:43 hobbies that you gave up on or thought
33:45 you'd never do again use it for side
33:49 projects
33:52 um understand the Core
33:54 Concepts of generative AI like once you
33:57 kind of get prompting you kind of get
34:00 prompting and it doesn't matter whether
34:02 you're making a song or an image or a
34:05 business plan or
34:08 code understand iterations understand
34:11 pattern matching oh that that it behaved
34:15 way over here that's very similar to how
34:17 it behaved over here understand contexts
34:19 and how important context is in the
34:23 conversation and then the the the the
34:25 fifth Point here is
34:28 understand how critical it is to learn
34:32 by
34:33 doing you know try it fail try again
34:37 fail try again get comfortable with the
34:43 discomfort of failure because you're
34:46 going to have a lot of
34:48 it so the goal of this pillar the goal
34:51 of this first pillar of AI Readiness is
34:54 to get curious get inspired and get
34:57 messy this is the playground stage it's
35:00 it's actually the foundation of
35:01 everything this is we used to have this
35:03 thing at agency.com called geek and
35:05 tells where someone would learn
35:06 something they'd say gather around and
35:09 they they teach something how did they
35:11 discover that thing I don't know they
35:13 just try it or we'd have a problem we're
35:15 like well we got to be able to solve the
35:17 problem and someone would solve
35:19 it gather around you know be on the
35:25 playground is there a replay from
35:28 Sunday's Learn out Loud Workshop the
35:29 mid-journey one I would assume so Stacy
35:32 uh Vicki will know and we'll probably
35:34 pipe up
35:38 here oh
35:40 man let's see how many websites can you
35:43 publish in Claude with the free version
35:45 is there a limit I think there's
35:46 probably just a limit on number of
35:47 tokens all right so that's pillar one
35:51 pillar two is the AI powered business um
35:54 from Insight in uh to Innovation powered
35:57 by your your
35:59 intuition um spot real problems so so
36:03 when you start to when you get a
36:04 foundation of understanding what the
36:06 tools make possible and how you explore
36:09 with them and iterate with them then you
36:11 can start to do things like look at
36:12 things in your business that are are
36:14 real problems and and think about where
36:16 AI can help solve that think in systems
36:19 not just tools again a lot of the
36:21 solutions you're going to have to duct
36:22 tape together four or five different
36:25 things to to actually solve something
36:28 um get used to
36:30 that data becomes really critical use
36:33 data intentionally ethically
36:35 strategically securely right are you
36:39 allowed to put the data that you're
36:40 putting into chat GPT into chat GPT do
36:43 you have data protection agreements in
36:46 place that work for your business and
36:48 for your clients if not you got to get
36:50 that [ __ ] together um start building
36:53 workflows that are flexible and
36:55 iterative and obviously AI enabled but
36:58 but right now we're probably going to
36:59 have a lot of systems where AI is doing
37:02 a piece of the solution and traditional
37:04 systems are doing another part of the
37:05 solution how do you glue all those
37:08 things together start thinking about
37:09 workflows in that context and then start
37:11 small and build Tor toward long-term
37:15 transformation start with small little
37:17 projects individual little efficiencies
37:20 and then start to Lego those things
37:22 together into longer term things um also
37:26 be prepared to abandon everything and
37:29 start
37:30 over um so your goal in this phase or in
37:33 this in this uh pillar is align AI with
37:37 real
37:38 value right understand what the business
37:40 needs and what you're trying to
37:41 accomplish with it and business could be
37:44 big business it could be your own
37:45 personal business it could be just
37:47 family getting [ __ ] done putting
37:50 together um uh you know schedules for
37:54 for getting the kids around party
37:56 planning it it business bu is just
37:59 solving problems Okay the third pillar
38:02 is the creative process make it weird
38:06 make it beautiful make it yours get
38:08 creative whatever limitations you think
38:10 you've had around
38:13 creativity you can let that
38:16 go if if stepdaddy told you you didn't
38:19 you weren't talented and you let that
38:22 you know uh invade your life time to let
38:26 stepdaddy and particular statement
38:29 go um so as you're exploring um with AI
38:34 on the creative process think
38:36 collaboratively think full storytelling
38:39 think visuals think music think design
38:41 think
38:43 form all of the stuff think of yourself
38:45 like a creative director right like a
38:48 conductor of a symphony you've got all
38:49 these tools you can do all this stuff
38:51 it's just your vision you want to get
38:53 out
38:54 there guide with Clarity your Creative
38:57 Vision is the thing you know Bob Bob
39:01 mentioned hey Ricky Ruben you know be
39:04 inspired by Rick
39:06 rubben he he is a Grammy award-winning
39:09 music producer that doesn't write songs
39:12 can't work a recording conso but he's
39:15 got taste and he's willing to put it lay
39:18 down the law this is good this is not
39:21 good so guide with Clarity explore new
39:24 formats Styles and
39:26 genres lots of iteration lots of play
39:30 lots of things that are if like this the
39:33 the visual look and feel of this
39:36 presentation is not something I ever
39:38 would have picked but now that I've got
39:40 it in my hands I love it like you can
39:43 only discover that through
39:45 playing
39:46 um navigate Creative ethics there's a a
39:50 new video model that just came out that
39:52 is has only been trained on licensed um
39:55 data and as you generate with it
39:58 the artists that contributed to it get
40:00 paid um if that's important to you seek
40:05 those things out Adobe is another
40:07 company that um built their models with
40:10 with uh with ethics in mind mid journey
40:15 is the most beautiful tool out there and
40:17 it is littered with um you know uh
40:22 unethical um data
40:25 collection but it's the best so you have
40:28 a choice to make we always have a choice
40:29 to make with these things but understand
40:32 that those choices are there and and can
40:35 be made um and then use AI to break
40:38 blocks like one of the things that I've
40:40 recognized recently is that I no longer
40:44 have creative
40:46 blocks like writer's block haven't had
40:49 it in two
40:51 years visual you know frustrations that
40:55 I didn't have the talent or a vision or
40:56 an idea
40:59 gone why because I play with this stuff
41:01 enough to know I don't have to worry
41:03 about that now if I need an idea if I
41:05 need 50 ideas I can have them in 30
41:07 seconds will 50 of them be good ideas
41:11 no but will three of those ideas in the
41:14 50 spark something in me that makes me
41:16 go oh yep every single
41:22 time
41:24 um so the goal in this phase is to expl
41:27 expand your creative process through
41:30 thoughtful intentional
41:32 experimentation right experiment be
41:34 creative and again previous one was
41:36 business this is creative those two go
41:38 together really
41:42 nicely third one responsible Innovation
41:45 power without purpose is dangerous power
41:47 shared is
41:49 transformative really start to
41:51 understand things like ethical risks of
41:54 AI what are the biases what's the
41:56 misinformation surveillance deep fakes
41:58 all that sort of stuff really start to
42:00 understand that explore
42:02 it just because it can do bad doesn't
42:05 mean everything's bad right one of the
42:08 one of the things that that I'll hear a
42:10 lot from from people that are in the the
42:13 kind of denial stage of AI is well it's
42:16 evil it's this it's that it's gonna the
42:18 robots are going to kill us lots of bad
42:21 things can happen but if you understand
42:23 what they are you can help create a
42:25 world where we mitig those risks right
42:30 um build Frameworks for trust like do
42:34 things as transparently as you can and
42:35 with safety in mind um evaluate AI
42:39 generated content critically not
42:41 passively um ocean earlier asked should
42:43 we judge AI when you're looking at AI
42:46 content you should be judging it you
42:48 should be critiquing it you should
42:50 understand that it hallucinates and it's
42:52 probably wrong and it's probably all
42:55 screwed up my writing partner I'm
42:57 working on the musical right now and um
43:02 he uploaded our script into chat
43:07 GPT and he said you know give me some
43:09 analysis of of what could be better and
43:12 it said well the character of
43:14 Jen you know is probably a little thin
43:17 and could be a little deeper and the the
43:19 character of Sam is you know is a little
43:23 cliche and could probably be a little
43:25 better which are really reason reable
43:28 critiques of those two characters except
43:31 those two characters are not in our
43:33 script they're not in our
43:35 play so so even stuff that you know
43:39 really well where you've used a tool to
43:41 do this exact same thing before
43:43 sometimes they just go [ __ ] off the
43:45 rails they just get weird you got to
43:48 understand that stuff right there's just
43:51 all all sorts of nightmares of like
43:53 lawyers that gave a a legal brief to a
43:56 judge and all the itations in it didn't
43:59 exist they were all made
44:01 up that's not ai's fault that's that
44:04 lawyer's fault because he didn't look at
44:06 this stuff
44:07 critically um create Innovation
44:11 environments get intentional with who
44:13 you put on teams and how you put orgs
44:15 together and what communities you join
44:17 you should join the AI Salon you should
44:20 join she leads
44:21 AI get into communities with people that
44:24 are thinking like this and it'll
44:26 accelerate what you do
44:29 and then this is ultimately a culture
44:31 thing not a policy thing again things
44:33 are moving so fast by the
44:38 time bodies get around to creating
44:41 legislation or
44:43 rules the technology will have moved on
44:45 a lot of the the EU right now is
44:48 suffering because two and a half years
44:51 ago they put um legislation in place
44:56 based on where where the technology was
44:59 then it couldn't anticipate what was
45:01 coming and it was so rigid that now
45:04 whenever open AI launches a new
45:07 technology everyone has access to it in
45:09 the world except the
45:11 EU until they make
45:13 special carve outs for that specific use
45:17 case because they overregulation
45:27 co-creation just you know learn this
45:30 stuff be aware of this stuff understand
45:32 Safety and Security and and
45:37 data privacy all all the stuff that's
45:40 important in any other kind of data use
45:42 it's about a hundred times more
45:43 important with AI because things are
45:45 moving so fast and it's so
45:48 easy
45:50 to get yourself in trouble
45:53 because AI is really good at looking at
45:56 unstructured data and pulling out
45:58 insights out of it so if you
46:00 accidentally dump the company Goods out
46:02 on onto an an AI Forum well people are
46:07 going to be able to find that stuff
46:08 really quickly all right and then the
46:10 last
46:11 pillar is putting AI into action right
46:15 so we started with
46:16 exploration and we looked at solving
46:19 problems within the business context
46:21 then we looked at creativity then we
46:22 looked at responsibility you bring all
46:24 those together and it's the fifth
46:26 pillar so insight into application
46:29 Community into Innovation
46:31 Network um talk to as many people as you
46:35 can learn what's working for them what's
46:37 not working for them um be inspired by
46:41 people outside of your expertise and
46:44 outside of your
46:45 industry um start thinking about
46:48 building tools and templates and
46:49 workflows that are
46:51 reusable right so sure a lot of times
46:54 I'll hear this someone will ask about
46:57 like custom GPT why would you need a
46:59 custom GPT couldn't I just write that
47:01 prompt myself well you could but it
47:05 might take you an hour to get that
47:06 prompt dialed in and do it and someone's
47:09 already built one so just use that right
47:11 so start thinking about how can you take
47:14 these tools that amplify you and just
47:16 you know get better and better and
47:17 better at that um learn from and with
47:21 others Learn out Loud be a leader let
47:25 other people lead and teach you
47:31 um AI isn't replacing your work it's
47:34 accelerating what's
47:36 possible this one's a bit of a [ __ ] up
47:39 one because AI is going to replace the
47:43 tasks that a lot of people do and that
47:45 is in turn going to cost a lot of people
47:47 their
47:49 jobs and those displaced people will
47:52 have access to those tools that can take
47:55 their ideas and amplify them and accept
47:57 accelerate what's possible for them if
48:00 you learn this [ __ ] within your company
48:03 your chances of surviving a layoff round
48:05 are higher than if you're not using
48:07 these tools right because if AI is going
48:09 to cause disruption who's management
48:12 going to keep the ones that understand
48:14 Ai and it's probably not going to be
48:17 management which is completely [ __ ]
48:21 up and then Embrace collaborative
48:24 ecosystems where humans and AI learn
48:26 create and Lead together right this so
48:30 I've got this book called collective
48:31 intelligence and what it's about is the
48:33 reason AI is so powerful is it's trained
48:36 on the collective intelligence of people
48:38 so if you take the tool of generative AI
48:42 that is collective intelligence in
48:44 technology form and then you combine
48:46 that with the collective intelligence of
48:48 groups of smart people working nimbly
48:51 with AI it it just amplifies that even
48:54 further all right so so that's the big
48:57 deal there and then your goal in this
48:58 fifth pillar is to you know build your
49:01 own toolkit figure out what works what
49:03 doesn't keep the stuff that works keep
49:05 learning and exploring and just replace
49:08 out stuff as as it ages out which is
49:10 going to happen really
49:12 quick so that's it that is the AI
49:15 Readiness
49:17 framework so I hope you dig it all right
49:21 and then uh the AI Readiness project uh
49:23 we have a podcast it's Wednesdays at 4
49:26 except this week we're doing it Thursday
49:29 at like one because I I'm giving this
49:32 talk actually um so I can't do it and
49:35 then um and then are you ready for
49:38 ai.com is the uh we're we're taking this
49:42 framework this is being um converted
49:45 into a training program so if you want
49:47 to sign up for that and get early access
49:49 to that when it comes out go to are you
49:52 readyfor ai.com good Lord that was a lot
49:58 what do you think what do you think
50:07 people oh
50:12 [Music]
50:13 man forever hooked love it a lot says
50:18 violin
50:20 wash yeah I'm excited about this because
50:23 it's very nice and your graphics are
50:25 fire thank you Silver Fox I actually
50:27 show you how I made the graphics why
50:28 don't we go do that I'll go I'll go show
50:30 you how we do that
50:35 um the the thing I'm excited about with
50:38 it is and the training that that we're
50:40 putting together is very meaty like
50:43 there's a lot in
50:44 it um and there's a part of me that's
50:47 like ah you know is it too much and then
50:50 what I realize is no here's
50:54 why it's it's easy enough to to say oh
50:57 go play with AI I say it every night
50:59 right go play with
51:01 AI a lot of people don't know what that
51:03 actually means does does that mean play
51:06 with chat GPT well yeah does it mean
51:09 this other thing over here yeah does it
51:10 mean this yeah it means all of it
51:14 right what doing a program like the AI
51:17 Readiness project
51:20 does
51:22 is force you down rabbit holes you
51:25 wouldn't instinctively go down
51:28 so maybe you're super creative and you
51:29 get to that second pillar which is about
51:32 AI in business and you're like oh God
51:34 that sounds awful yeah it it it will and
51:37 then you get in there and start playing
51:39 with it and you're like oh wait a minute
51:41 I could actually apply this over here
51:42 this other part of my life and and then
51:44 and then if you're really into business
51:46 and you see that creative one you're
51:48 like oh I'm not creative that's not
51:51 me and then you get into it and you're
51:54 like oh no I'm actually kind of good at
51:56 this and I kind of enjoy it right that's
51:59 the whole intent is to give people as
52:01 broad a base as possible to explore
52:05 within and then you know get up to speed
52:09 and and get going the the one thing that
52:11 I want to add to the end of this
52:13 presentation
52:17 is this is never
52:19 done it it's my contention that for the
52:23 next 10 years at least
52:29 this transformative
52:31 chaos will be the
52:33 reality that only the people that are
52:36 adaptive and curious and ambitious and
52:39 are
52:41 exploring and are figuring it
52:43 out are going to be the ones that truly
52:46 succeed in this
52:48 because I was talking to to Ann Murphy
52:50 about this today we were talking about
52:52 the framework
52:55 and you know she's been she's been
52:58 exploring all this stuff and leading
53:00 community and all that for you know
53:02 about the same time I have for like two
53:05 years and I said you know imagine if a
53:07 year ago you were like okay I got all
53:09 these tools figured out and I'm good I'm
53:11 I'm just gonna lock it down and I'm GNA
53:13 do my um my fundraising business using
53:16 all these you know um zappier
53:20 automations that I've made I'm just
53:22 going to lock it down I said imagine if
53:25 you just stopped EXP exporing back then
53:28 because you had it all figured
53:30 out and now Manis comes along and and
53:33 because you're not paying attention to
53:35 it because you have it all figured out
53:36 you you don't even know what Manis is
53:39 and if you don't know what Manis is
53:40 Manis is a truly autonomous agent that
53:43 will go off and do work for you at a at
53:46 a at just a remarkable it'll go off for
53:48 like 15 20 30 minutes looking at
53:52 websites writing code building building
53:55 you a website building you
53:57 reports just goes off and does it you
53:59 give it a goal and it's just
54:01 off well if you kind of lock [ __ ] down
54:04 here you're going to miss stuff like
54:05 that coming and that kind of stuff could
54:07 come along and completely upend her
54:10 business if she just locked it down then
54:12 so this this AI Readiness is a
54:15 mindset and the purpose of the program
54:18 being so broad is so that you look at as
54:21 many different lenses as possible and
54:23 then just [ __ ] turn on the Curiosity
54:26 that's it that's that's it I see a typo
54:30 play first Tinker boldly on the journey
54:34 thank you
54:36 wait which one was
54:39 it journey to AI
54:42 Readiness play first Tinker boldly break
54:45 things with
54:48 curiosity fix play first
55:02 Vicki I don't see a typo am I is this am
55:05 I having an add
55:07 moment well what do you think Kyle of
55:09 course you're having an add
55:11 [Laughter]
55:16 moment play
55:19 first Tinker
55:21 boldly oh baly
55:28 hey add how you doing how you doing
55:31 man Tinker
55:37 baly I'm too close to the content way
55:40 too close to the content
55:42 [Laughter]
55:43 apparently that's awesome um all right
55:47 since I'm over here let's let's flip
55:49 over to Mid
55:52 Journey um and let me show you how I how
55:55 I did all these Graphics all right let
55:58 me get this going anybody have any
56:01 questions it takes a village it really
56:03 does thank thank you for catching that
56:05 one um the Tekken tools change so
56:09 frequency will the training be live and
56:12 ongoing or pre-recorded courses how do
56:15 we sign up uh is it a membership it's
56:18 it's a one-time fee Stacy um it's if you
56:21 go to are are you ready for ai.com so
56:25 letter r you
56:27 ready number for AI are you ready for
56:30 ai.com um and just sign up there
56:36 um we tried really hard so
56:40 so a lot of the the content that was
56:43 shared during AI Festivus is used as
56:46 kind of example content of the concepts
56:49 that we're teaching we worked really
56:51 hard to break the content up in such a
56:54 way and create the training in such a
56:56 way that it's Evergreen it shouldn't
56:58 need to be updated
57:01 now um it's also designed in such a way
57:04 that we can swap out the video content
57:06 modules as required so if things kind of
57:09 age out and it's not appropriate to have
57:11 them in there we'll likely swap them out
57:13 but the training itself should be pretty
57:15 Evergreen yeah are you ready for ai.com
57:18 are you ready for ai.com yep that's it
57:21 pre-recorded go at your own paast that's
57:23 exactly
57:24 it okay um
57:28 okay so here's a bunch of stuff that
57:32 I've been working on today this is all
57:37 um you know lots and lots and lots and
57:40 lots and lots and lots of pictures um
57:43 here here's my cool pictures there's the
57:44 cool me wait we get we get to some
57:47 pretty pretty bad ones here retesh
57:49 you'll appreciate these these are like
57:54 my there's something about my my face
57:57 shape that that a generative AI just
58:00 thinks like I'm a tubby a tubby
58:09 boy so um so
58:13 so your your ego if you're gonna do
58:15 anything with yourself in it you gotta
58:17 you gotta have a you gotta have a a
58:20 strong
58:22 ego when when these pictures first came
58:25 out I'm like no I'm I'm hipper than that
58:28 but apparently I'm not because they're
58:29 pretty
58:35 consistent oh
58:38 man um so here's some other ones okay so
58:42 so lots and lots of
58:44 images so here's how I got to
58:47 these so if you go to the personalized
58:50 tab in mid Journey there's these thing
58:52 called mood boards and you can right
58:53 here you can create a mood board let the
58:57 interface a little bigger for
59:00 you you can create profiles which are
59:03 just basically here's pictures that I
59:05 like and it'll make things that
59:06 generally look like what you like but
59:08 you can create a mood board which your
59:10 very specific images and you can they're
59:13 easy to make you can upload images of
59:16 your own like I did some let me see can
59:19 I click on this yeah like here's some
59:22 these are photographs that I took with
59:23 an actual
59:25 camera and then edited in
59:29 aperture um and then I made a mood board
59:31 out of these so I can use this mood
59:33 board and make images where the sky the
59:36 skies are always these cool dramatic
59:39 looking
59:40 Skies
59:42 um so one of the mood boards that we
59:45 made
59:47 is a bunch of images that Vicky Baptist
59:51 made which were inspired by some images
59:54 that Marisol made for
59:58 for what was it for she leads Ai and for
1:00:01 some other things I think that's right
1:00:03 isn't that right Vicky and so I took
1:00:06 some of the some of the images that
1:00:07 Vicki made that I really liked and I put
1:00:09 them in my own mood board so so I've got
1:00:11 this mood board it doesn't have that
1:00:12 many images in it right it's just a
1:00:14 handful of images but it's got like cool
1:00:17 treatment of faces and it's got these
1:00:19 cool geometric
1:00:24 shapes I uploaded all the materials for
1:00:27 Saturday's
1:00:28 session on model architectures today
1:00:31 very cool yes you got it great and then
1:00:34 the way you do this is you go back
1:00:38 here so I can just say use mood board
1:00:41 and when I say that it puts this long
1:00:43 ass
1:00:44 code into the into the
1:00:49 prompt and then so now that that's in
1:00:53 there I can go back out to create
1:00:56 and I'll just scroll all the way up to
1:00:58 the top here so you can see what's going
1:01:05 on so a lot of times what I'll do is
1:01:08 I'll just do a concept like I'll do AI
1:01:15 Readiness and then
1:01:18 d-p stands for D- profile and then I
1:01:21 guess m equals mood board and then
1:01:23 there's this big long code now some
1:01:26 weird [ __ ] happens here but let me let
1:01:28 me show you I'll go AI
1:01:29 Readiness and then I'm going to go style
1:01:33 anywhere between 50 and a
1:01:36 th um if you put it at zero it tends not
1:01:39 to use the mood board so that can be
1:01:41 really frustrating so generally what
1:01:43 I'll do is I'll set it at
1:01:45 50 and then the aspect ratio that I want
1:01:49 so in this case I wanted 16 by9 for my
1:01:51 slides and then you say
1:01:56 make it and it'll make now it's going to
1:01:58 make four
1:02:00 Images it's going to interpret AI
1:02:02 Readiness using that mood board with a
1:02:05 style weight of
1:02:08 50 now I want to show you a couple of
1:02:13 weird things about mid
1:02:16 Journey so those are kind of cool they
1:02:18 they look like AI Readiness in a
1:02:20 neighborhood right like I didn't have to
1:02:22 do [ __ ] I just picked the mood board and
1:02:25 out came those images that's kind of
1:02:26 cool now in in mid Journey if you click
1:02:29 on this text that that is the prompt it
1:02:32 will pre-populate your prompt and if you
1:02:34 click on this thing that says mood board
1:02:36 AI Readiness it will
1:02:39 add-- profile and this shorter
1:02:43 code so when I went to to personalize
1:02:47 and click on use the mood board it gives
1:02:48 me the big long
1:02:50 number how it interprets it over
1:02:54 here is with the name of the mood board
1:02:58 and then when you reuse it it does this
1:03:01 shortened
1:03:04 code and it uses the fullword profile
1:03:07 instead of just
1:03:08 d-p um that is confusing as [ __ ] they
1:03:11 need to fix that it should just use the
1:03:13 name of the mood board but whatever
1:03:17 um this is all remnants
1:03:20 from mid Journey started as a as a
1:03:23 Discord server where you could make IM
1:03:26 in Discord and you had to use command
1:03:28 line commands and so it is somewhere in
1:03:31 between having a good user interface and
1:03:34 still having shitty ass Doss
1:03:39 commands and Engineers love the commands
1:03:42 but human beings
1:03:44 don't so not that Engineers are not
1:03:47 human beings don't get me
1:03:51 wrong they can't use the name of the
1:03:53 mood board it has to be unique yeah I I
1:03:56 I get it but it's but it's still it's
1:03:59 three it's three different from a user
1:04:01 standpoint it's three different things
1:04:03 they could absolutely Vicky if I clicked
1:04:06 on mood board AI Readiness they could
1:04:08 put mood board AI Readiness here and
1:04:10 have this code in the background right
1:04:13 like this is solvable with
1:04:17 technology um okay so what I'll often do
1:04:20 is I'll do one at 50 then I'll do one at
1:04:23 500 somewhere in the 500 range and and
1:04:26 then I'll do one at a thousand so I'm
1:04:28 going to do AI Readiness mood board
1:04:30 change that to a
1:04:32 th and hit that and then I'll just kind
1:04:35 of like look at them and say you know
1:04:38 which one of these is in the
1:04:39 neighborhood of what I'm looking for
1:04:41 then it wouldn't be janky AI I know
1:04:43 exactly exactly exactly exactly
1:04:48 [Music]
1:04:58 you know it's funny and and it's like
1:05:00 like sometimes the colors
1:05:04 are slightly off like that one is this
1:05:07 really bright sky
1:05:10 blue but the ones I have in the
1:05:12 presentation are more of a green like
1:05:14 this one's a little more green so you
1:05:16 just kind of just keep making [ __ ] until
1:05:18 you see [ __ ] that you like and then if I
1:05:20 want to add words into the slide I could
1:05:24 do AI readiness mood board but I could
1:05:27 say AI
1:05:29 Readiness with a large sign that
1:05:34 says AI
1:05:41 Readiness and I'll do like 500 on that
1:05:48 one do you use face swap or a trained
1:05:51 model of yourself character ref I have
1:05:54 difficulty getting an exact likeness for
1:05:56 multiple images I use character refs but
1:06:00 you have
1:06:01 to you have to kind of understand
1:06:04 character waiting um so generally it
1:06:07 works like
1:06:09 this I think character waiting is Zer to
1:06:12 100 if someone can confirm that I think
1:06:14 it's zero to
1:06:16 100 um but anyway here so here's these
1:06:20 images that now have ai Readiness in
1:06:22 them a lot of times it'll misspell
1:06:24 things but you can fix that
1:06:26 but so now I get words in it because I I
1:06:28 put in quote marks AI Readiness right so
1:06:32 AI Readiness is the concept and then in
1:06:34 quote marks AI Readiness is the big sign
1:06:36 with AI Readiness on it cool
1:06:39 right um okay so if I want to add a face
1:06:43 in let's we'll go add in my big fat
1:06:46 face
1:06:49 um okay here's here's corporate
1:06:53 corporate fat me so I'll put I'll put
1:06:56 character reference um
1:07:01 here and then if I do let's go back out
1:07:05 and we'll do
1:07:07 um we'll do the same one AI Readiness
1:07:10 with a large sign that says AI Readiness
1:07:12 but we'll have this character in there
1:07:14 I'll just leave this as a default we'll
1:07:17 do I guess we'll
1:07:18 do I'll do stylization of a 100 now this
1:07:23 should give me a big set of tubby Kyle
1:07:26 [Laughter]
1:07:31 and then if I do that same prompt oh
1:07:34 wait I didn't I didn't put the uh the
1:07:36 mood board in hang on a sec so that
1:07:39 thing with the mood board with tubby
1:07:43 Kyle should give me tubby Kyle with the
1:07:46 right colors see here's tubby Kyle
1:07:49 without the moodboard and it just does
1:07:51 that kind of generic AI [ __ ] images
1:07:55 you know like that the you
1:07:59 know the the the B the B film version of
1:08:03 The
1:08:05 Matrix but now here's the ones where I
1:08:08 did use the um mood board and so so
1:08:11 there have starting to get the style
1:08:13 right but it's still tubby Kyle so what
1:08:15 you do is this I'll go uh that tubby
1:08:22 Kyle and mood board
1:08:26 and then I'm going to do dash dash
1:08:29 CW and which stands for character weight
1:08:33 and the way this works is if you do it a
1:08:36 character weight of a
1:08:38 100 it will mat it'll try to match that
1:08:41 picture exactly so I'll do one of a
1:08:45 100 I think the default for character
1:08:48 weight is 60 or 70 so the reason these
1:08:51 things are all wearing the same shirt
1:08:54 and you know I mostly look the same and
1:08:57 it's sort of made me kind of the same is
1:08:59 because it's 70 so there's
1:09:02 100 and then I'll do the same thing AI
1:09:06 Readiness um tubby
1:09:11 Kyle profile and here I'll go dash
1:09:15 dash
1:09:17 CW um space
1:09:20 one what a lower character weight does
1:09:23 is it'll basically just keep your face
1:09:26 and it'll change everything else it'll
1:09:27 change the hair it'll change the outfit
1:09:29 so I'm going to do a character weight of
1:09:31 one
1:09:33 here and then I'll do one of I'll do one
1:09:36 at like
1:09:39 30 dash
1:09:43 dash
1:09:48 CW 30
1:09:58 and so like here it completely covered
1:10:00 up my face here it's got a little bit of
1:10:02 my hair a little bit of my chin that
1:10:05 kind of looks like
1:10:08 me yeah it looks it looks disturbingly
1:10:11 like
1:10:14 me like that one's cool look at that one
1:10:18 I'm like creepy Kyle hiding behind
1:10:24 [ __ ] I'm I'm watching
1:10:29 you um and then what I'll do is I'll
1:10:31 mess around with these so this one's
1:10:33 like a character weight of 30 so it'll
1:10:36 keep my face and most of my hair but
1:10:37 it'll probably switch up my outfit so
1:10:40 I'll keep it at that so I'll go here's
1:10:42 the prompt here's character weight of 30
1:10:44 here's the mood board here's me oops
1:10:47 here's me dang
1:10:49 it why is it not adding it I should be
1:10:52 able to just click on
1:10:54 this why is it not doing that maybe I
1:10:58 need to be out here yeah there you go
1:11:01 okay and then I'll go like um style of
1:11:04 350 the other thing you can do is you
1:11:07 can do
1:11:08 d-r Space 4 and R stands for repeat and
1:11:12 so this will make four sets of four
1:11:17 images and then I'll do the same thing
1:11:20 AI Readiness my
1:11:23 image um mood board and then I'm going
1:11:26 to bump this up to like
1:11:27 750 and then I'll
1:11:30 do um D-
1:11:33 cw30 Das
1:11:36 dhr4
1:11:38 oops
1:11:43 R4 and so now I got a bunch of images
1:11:45 being
1:11:47 generated and so the the thing is like
1:11:50 if it makes shitty images like if it
1:11:53 makes you know the 400 50 pound version
1:11:56 of you and you're like I don't like that
1:11:58 don't quit just keep messing with just
1:12:01 keep messing with it it's AI it'll it'll
1:12:04 just do weird [ __ ] sometimes like that
1:12:08 one doesn't really look like me but it's
1:12:10 kind of cool I kind of like the the
1:12:13 layout of
1:12:15 it that one's sort of like
1:12:18 me there's there I am on a billboard
1:12:21 nice
1:12:26 you know what I like about this is it's
1:12:29 got enough [ __ ] going on over my face
1:12:31 that even though it doesn't really look
1:12:33 like me it doesn't really matter it's
1:12:35 it's more stylized I like
1:12:39 that here's a guy talking with his hands
1:12:42 that's very much me and I almost have
1:12:44 the right amount of fingers and they're
1:12:46 almost the right
1:12:49 shape and look here's one where I look
1:12:52 kind of goodlook I don't look too tubby
1:12:54 I look like I work out a little bit all
1:12:56 right I'll go with
1:12:58 that right I mean it's [ __ ] AI do
1:13:02 what you want it don't [ __ ]
1:13:04 matter just explore like this gets back
1:13:07 to AI Readiness just explore just start
1:13:10 figuring this [ __ ]
1:13:12 out like there it didn't put me in at
1:13:15 all like there's one same prompt I'm not
1:13:17 in there at all the words are in
1:13:24 there so here let's let's let's take
1:13:26 this let's go play with this one so we
1:13:29 we've got this one it didn't put me in
1:13:31 there but it has AI Readiness but it's
1:13:32 got an extra eye so let's go go in here
1:13:36 we're going to go to the editor so now
1:13:38 I'm going to
1:13:42 erase I'm going to erase that and I'm
1:13:45 just going to put in quote marks AI
1:14:02 I think that's making it
1:14:12 now all right so one of them got nothing
1:14:16 one of them got AI one of them got AI
1:14:19 one of them got AI so pick the one we
1:14:21 like best that one now I'm going to go
1:14:23 back into the editor
1:14:30 and I'm going to
1:14:33 put I'm
1:14:35 GNA erase out a bunch of [ __ ] there and
1:14:39 I'm G to
1:14:41 say man
1:14:45 wearing VR
1:14:49 goggles looking
1:14:53 left um and I've got my character
1:14:57 reference in here right so I've got my
1:14:59 picture in here I'm going to submit that
1:15:01 I'm going to see if I can get it to
1:15:02 stick my face in
1:15:09 [Music]
1:15:11 there and I got nothing I got nothing
1:15:18 honey let's see
1:15:26 the other way I could do it is I
1:15:31 could I think can I add if I go to the
1:15:37 editor if I go
1:15:44 edit um go
1:15:50 edit
1:15:52 okay I say upload an image
1:15:59 let me go look for
1:16:07 0741 all
1:16:08 right so there's a picture of me so I
1:16:11 can flip this thing
1:16:14 over let's
1:16:16 see
1:16:19 oops um
1:16:23 size hang on a sec I gotta
1:16:27 go boom
1:16:29 boom
1:16:34 edit
1:16:39 0741 okay there's there's my big fat
1:16:42 head now I can I can say I want a 16 by9
1:16:45 image and then I can say resize and so I
1:16:49 can put my big fat head in
1:16:53 there you know he really shouldn't be
1:16:55 fat shaming himself that's really
1:16:59 inappropriate he looks just
1:17:02 fine uh why can I not resize this I
1:17:06 don't know well whatever so there's me
1:17:08 now I can go in with my little erase
1:17:09 tool and I can erase parts of this image
1:17:13 so I just have some head in
1:17:17 there all right and so now what I can do
1:17:21 is I can put in the
1:17:23 prompt let me go back back out to create
1:17:26 let me
1:17:28 grab there's my mood
1:17:32 board go back into edit and then I can
1:17:35 say oh crap it didn't keep my edit hang
1:17:39 on I think it will when I bring the
1:17:41 image back in
1:17:45 actually yeah it did okay so I can do I
1:17:48 can do um background of the
1:17:53 future and then I can do I don't know
1:17:58 500 and I can do submit
1:18:01 edit and so what it's going to do now is
1:18:04 it's going to give me four
1:18:06 images that fill in the whole background
1:18:09 but leave me in there as is
1:18:27 look I got big long big super long
1:18:30 arms I think I think that one's
1:18:34 good and then I can upscale this to the
1:18:37 gallery and now I have a completely
1:18:42 usable picture of me on a bench with my
1:18:46 boyfriend that's
1:18:52 awesome your arm is super long I know
1:18:54 wasn't that crazy
1:18:55 [Laughter]
1:18:58 oh
1:19:05 [Music]
1:19:15 man skipped a few leg days yeah I know
1:19:19 my little skinny legs
1:19:20 here hang on it's only 16% let's let
1:19:24 this thing let's let this thing upscale
1:19:26 and then we'll go look at the the beauty
1:19:29 that mid Journey created for me but
1:19:31 there's that that way that I just showed
1:19:33 you I think it was Stacy was asking do
1:19:35 you use face swap yeah that's one where
1:19:38 I'm actually importing an image and then
1:19:40 I'm building the whole image around the
1:19:43 exact
1:19:44 face what that won't do is change the
1:19:46 angle of the face or the expression
1:19:48 that's where you get around with with
1:19:50 the character
1:19:52 weights your boy BFF DJ lead yeah
1:19:56 exactly why is this taking so long to
1:20:00 scale all right I got to get going my
1:20:04 eye is uh my eye is
1:20:11 scratchy oh manam
1:20:22 [Music]
1:20:34 [Laughter]
1:20:37 94% skinny little
1:20:43 legs oh nice I like it and yeah that is
1:20:47 a very long arm isn't
1:20:49 [Laughter]
1:20:52 it oh good lord so anyway that's how I
1:20:56 made all them them images you can just
1:20:59 start cranking stuff out mood boards are
1:21:01 amazing if you've not played with mood
1:21:03 boards it is worth running down the
1:21:04 rabbit
1:21:08 [Music]
1:21:17 hole all right anyone have any questions
1:21:20 thoughts before I go what's today
1:21:22 today's
1:21:24 Monday tomorrow's
1:21:29 Tuesday tomorrow will be normal time
1:21:32 Wednesday um I've got that speaking gig
1:21:36 um so I might be late I'll definitely be
1:21:39 late I don't know how late so Wednesday
1:21:43 might be more like nine nine Mountain
1:21:45 than eight
1:21:47 Mountain all right
1:21:52 Beauty all right fantastic kids we'll
1:21:56 see you later um I'm going to get on out
1:22:00 of here thank you everyone Thanks for uh
1:22:02 thanks for modding over on on the
1:22:04 YouTube and was good to see my buddy
1:22:07 ratesh that was
1:22:09 nice all right peace out I'll see you
1:22:12 tomorrow