1/29/2025 - The Path to Cognitive Hyperabundance: Mastering AI's Five Key Stages

Description

Chapters

Transcript

0:03 let's see let's throw up a little timer
0:05 and get this thing officially
0:23 [Music]
0:37 [Music]
0:39 what do you think champy
0:44 [Music]
1:16 [Applause]
1:20 [Music]
1:29 oh oh
1:34 [Music]
2:15 oh
2:22 [Music]
2:39 every time I see you
2:42 now get that look in my
2:44 [Music]
2:49 ey every time I see your mouth I hear
2:54 that
2:55 smile I think I'm going to pull out my
2:57 bass guitar nice good evening good
3:01 people I don't I don't have a strong
3:04 compulsion to sing
3:06 [Music]
3:29 tonight through blue
3:32 telescope looking at the world
3:35 tonight through a blue
3:38 telescope wish I may wish I might not
3:42 see what I
3:44 see she' met on sheets of
3:52 eyes looking through this blue
3:56 telescope down Moon struck Road
4:00 [Music]
4:06 now all right today is day five of 30
4:10 days of Deep dive we're continuing the
4:13 um AI video control
4:17 series you're like Kyle you say that
4:19 like it's a real thing I know
4:23 right it's almost like it's a real thing
4:26 Deep Thoughts with Kyle in the pink bows
4:28 exactly
4:30 kylin the champy all right bye champ
4:32 he's leaving he's done he's like if
4:35 you're not into it I'm not into it dude
4:37 I'm out of here um so we left last night
4:41 on a cliffhanger
4:44 [Music]
5:17 um one cool thing that happened
5:22 today um is that the copyright office um
5:27 said that AI work can be copywritten
5:30 [Music]
5:33 um they also said they don't need new
5:36 laws which I think is actually not a bad
5:41 thing you to basically apply the same
5:44 [ __ ] they apply with all other kinds of
5:46 tools that you make work with they they
5:49 explicitly said if you just give it a
5:51 single prompt and it outputs some [ __ ]
5:54 that's not
5:55 copyrightable but if you say decides you
5:58 want to create a musical
6:01 and you create a thousand different
6:03 songs to end up with the 15 that are
6:05 this the beginning of the show and then
6:07 you use AI to create the outline and the
6:10 script and you rewrite the script and
6:11 you do all this
6:13 [ __ ] that's now
6:15 copyrightable and we had a big question
6:18 on that for the musical I'm working on
6:20 and that question has now been
6:24 answered you were sleeping Vicky Baptist
6:27 Miss missed the cliffhanger
6:30 so yesterday we we uh we did a
6:34 um we did a podcast we'll do another
6:36 podcast tonight we'll do episode six of
6:38 of the podcast the jelly pod the what
6:41 the fact
6:43 podcast which is making all sorts of
6:45 ripples in the in the media World there
6:49 are I don't know what would you say
6:51 Brandon there are two or three people
6:53 who have listen to part of one episode I
6:57 mean it's it's making a difference
7:01 [Music]
7:10 uh oh Kyle is planning to take over the
7:12 world damn right I
7:14 [Music]
7:16 am yeah I know Source Camp I don't like
7:19 I I don't really want to talk about the
7:21 engagement that what the fact is getting
7:23 because it's it's kind of like a a
7:25 humble brag like we definitely have you
7:28 know some people who've listened to part
7:30 of one episode and it and you know
7:32 there's people out there who have
7:33 podcasts that they haven't even created
7:35 yet right and I'm out here we're like on
7:37 episode six and we have an audience we
7:41 have an audience and they they love
7:43 it they love Lily Vogue they think
7:46 Buster mcgilla cuty is a
7:48 cutup uh they don't realize that he's
7:51 just he's just sad he's just a sad slow
7:53 man but uh but people love him they love
7:56 him they love the show so we'll do that
7:59 um The Cliff Hanger last night was we
8:02 went into clling and clling has a thing
8:04 called elements where you can upload
8:07 four different images like a piece of
8:09 clothing a person a coffee mug from
8:12 Starbucks whatever it is and then you
8:15 describe the scene and it will
8:16 incorporate those elements into your
8:19 video and it was taking like I don't
8:21 know 20 minutes to render it took a long
8:24 time and then someone someone actually
8:26 put a comment on my Tik Tok that um
8:29 their cling videos were taking 3 hours
8:31 to render so apparently elements is
8:34 popular to the point that you can't use
8:37 the service
8:44 anymore so we'll look at that we'll do
8:47 jelly pod first and then we'll go look
8:49 at we'll do the
8:51 reveal uh of uh of the cling video which
8:55 is interesting and then we'll start
8:57 playing around with some of the other
8:58 videos or video tools
9:00 [Music]
9:02 how is everybody tonight maybe that's
9:05 why I fell
9:07 [Music]
9:09 asleep hey Valerie Cox Danielle with
9:13 shaken got Vicky we got Winston got
9:16 Daisy
9:17 May you're just a humble guy I really am
9:20 I really am it's I gotta tell you it is
9:23 um it's a challenge being this humble
9:27 because you know people respect me so
9:29 much
9:30 um there's just a there's a there's a
9:33 deep level of of
9:36 uh there's like an
9:38 aspirational
9:39 hunger uh when people experience how
9:42 humble I am and uh it's a lot of
9:46 pressure it's a lot of pressure to stay
9:48 humble to not let it go to my head and
9:52 you know even though I've clearly become
9:55 one of the more humble people on the
9:57 planet try not to buy into that try not
9:59 get to get so attached to how humble I
10:03 really
10:04 am um I think it's important I really do
10:08 um I try to lead by
10:10 example
10:12 [Music]
10:18 um
10:19 now not
10:22 everyone I mean this is probably not
10:24 humble but not everyone can pull off the
10:26 pink
10:27 bow I can
10:30 but it's not like I wear this thing
10:31 every
10:32 day and it's not like I wear for the
10:35 whole episode even though I look
10:39 stunning humbly speaking of
10:41 [Music]
10:46 course archetypal architect it's amazing
10:49 you can keep such humility at your level
10:51 of stardom well thank you I you know I
10:55 don't like to brag It's just sometimes
10:57 you know it's obvious to everyone one so
11:00 thank you thank you no I I'll I'll take
11:03 it I'll take it I will humbly accept
11:05 your uh your praise about my
11:10 humility a little pink for you and
11:16 me be careful you can still fit your
11:19 head through the door I actually can't
11:21 it's it's getting to be
11:26 bad oh feeling good but overwhelm Med is
11:30 a daily state from Shain saww
11:33 that is wait where did that
11:38 go there
11:41 that that I would agree with that one
11:44 wholeheartedly there is just there is so
11:47 much going
11:48 on gorgeous Daisy May gorgeous thank you
11:53 thank
11:55 you um let's see
12:01 archetypal architect pretty dang good
12:04 got my process down to two and a half
12:06 hours to start to publish some new books
12:10 beautiful love
12:13 that all right fantastic fantastic
12:17 people all right we got some folks
12:19 trickling on in
12:20 now people wonder why do you play the
12:23 guitar Kyle um other than my staggering
12:26 Talent
12:31 [Music]
12:33 people have lives people have lives
12:36 they're eating their their their uh
12:38 extra Krispy Chicken
12:40 Wings you know they went down to the
12:43 KFC they got a famous
12:45 bowl they got to finish that up have a
12:49 little bit of Ben and
12:51 [Music]
12:54 Jerry's so we do this to just get things
12:57 warmed up a little bit
13:06 [Music]
13:09 all right Tik Tock needs to
13:12 be panned down oh yeah all
13:15 right there you go and then over a
13:19 little there we go it's like it's like a
13:22 professional operation here nearly like
13:25 a seriously like a
13:30 this is professional like I could give
13:32 humble
13:39 lessons oh good people developing a new
13:43 mode for research critique on chat GPT
13:45 that's pretty cool Chuck Norris wants to
13:48 know how to be more humble um his people
13:51 have reached out to me and I said I
13:53 don't I you
13:55 know there isn't a price there isn't a
13:58 price that I would I would feel
14:00 comfortable charging or
14:03 accepting uh to teach someone how to be
14:05 this
14:07 [Music]
14:12 humble
14:15 um see last night I said hello for 52
14:19 minutes and here we are 15 minutes in we
14:22 should really be getting started but I
14:24 just I have this pressure that I should
14:25 talk more
14:30 where can I find information about the
14:31 copyright just go to
14:33 x uh and just type in AI copyright uh
14:37 copyrightability it's it's part two of a
14:40 copyright book um there's a bunch of
14:43 there's a bunch of tweets on it there's
14:44 also I did a I did a post on X and I did
14:46 a post on LinkedIn about it and I didn't
14:49 I didn't really do a post like I did
14:51 analysis of it I did a post like someone
14:53 else did analysis of it and they said oh
14:55 looking at what they
14:57 said you know like a good good
15:02 [Music]
15:08 influencer well you know what's funny
15:10 talking about the overwhelm stuff um I
15:13 think it's a really good point Shane
15:15 saww that that this this stuff is
15:18 overwhelming there's a couple of things
15:20 Brandon and I were talking earlier
15:23 um I think that the the the reaction to
15:27 to deep seek R1 right now is is a
15:29 massive
15:31 overreaction and like everyone needs to
15:34 cool their [ __ ] Jets I mean it's like
15:39 don't assume that you know what they
15:42 said it cost it actually cost don't
15:44 assume that they didn't just you
15:47 know build it because they had some some
15:51 data they shouldn't have
15:53 had um don't assume that open AI
15:57 anthropic meta
16:00 Google Amazon Apple don't assume that
16:04 they won't ever launch anything again
16:05 because they will um you know everyone's
16:09 treating this like the war's over and
16:10 it's like I don't even think it was a
16:12 skirmish but but um you know it's a good
16:15 wakeup call right it's a it's a good
16:18 it's a good thing but there's just
16:20 there's a lot
16:22 of there's a lot of angst right
16:28 now and you know maybe it's maybe it's a
16:31 kind of thing
16:33 where maybe the biggest deal about R1 is
16:37 that more people noticed it
16:42 because the the the with the exception
16:45 of 03 which is a pretty dramatic spike
16:48 in capability but it hasn't been
16:50 launched yet it's just been
16:52 announced the the um the advancements
16:56 from GPT 3.5 to 4 to 40 right th those
17:00 have all been they haven't been linear
17:01 they've been going they've been growing
17:02 pretty good
17:06 but it it was there was nothing
17:09 dramatically better than what had been
17:11 before to to the broader population and
17:15 maybe maybe R1 broke through to more
17:18 people and that's why that's why folks
17:20 are freaked out um that that more people
17:25 are starting to understand oh this AI
17:27 shit's actually real so I don't know
17:29 we'll see
17:30 um if you have the computer power to
17:32 download Run Deep seek or other models
17:35 locally do we essentially own that and
17:37 it can never be disabled or taken back
17:40 from the company that's
17:42 correct that's correct now they might
17:44 not support it it might not evolve but
17:48 if you get yourself a kick-ass little
17:50 desktop machine or like one of those
17:52 Nvidia you know super
17:55 kickass desktop
17:57 supercomputers and you get that that
17:59 thing running on it and you've
18:00 effectively got you know semi PhD
18:05 level problem solving right on your
18:07 desktop yeah that's yours that's
18:10 yours how about it and the development
18:12 Community is going to keep whacking on
18:14 it too right so so they're going to make
18:16 it more efficient they're going to make
18:17 it smaller there's going to be all sorts
18:19 of specialized
18:20 versions deep seek taught them you can
18:23 do a hundred more work with the same
18:26 amount of
18:28 compute it's it's about to blow the F up
18:31 yeah exactly
18:34 exactly yeah I well you know and the the
18:38 other thing
18:40 is like we don't know what open Ai and
18:45 anthropic it sounds like they might not
18:47 have some stuff there it sounds like
18:49 meta might be a little bit behind but
18:51 Google is certainly putting out some
18:54 good stuff they don't have a product
18:56 strategy so they're they're they're
18:59 fraction for what they're launching is
19:02 all over the place because they don't
19:03 have a tight product
19:05 strategy but we started this year when
19:09 when they were doing 12 days of of xmus
19:13 right of of shipus or whatever the [ __ ]
19:15 they called it um the conversation about
19:19 AI shifted from are we going to reach
19:23 AGI to we're on the path to ASI that
19:26 they basically figured out AGI we have
19:28 not experienced AGI
19:31 yet right AGI artificial general
19:34 intelligence when these systems get as
19:38 good or better than most people at most
19:40 economically viable jobs we're not there
19:44 yet but it seems pretty [ __ ] clear
19:48 this is the Year this is the year we see
19:50 something it's not 26 it's not 27 right
19:53 2728 might be when ASI comes the super
19:56 powerful who knows what the [ __ ] that
19:58 does
20:00 but but yeah I think we're going to have
20:02 we're all going to have virtual
20:04 employees if we choose to have them and
20:05 we can do whatever the [ __ ] we
20:07 want um and it's gonna screw up a lot of
20:11 a lot of work so crazy crazy the Rick
20:14 Rubin of AI Humble Pie indeed it makes
20:18 me think China found a way to Bootleg
20:20 all these AI models for cheap and
20:23 they're using it to throw a wrench in
20:24 the US market yeah yeah why not
20:28 statesmanship gamesmanship big business
20:32 you're playing in the big leagues now
20:34 when when you can
20:36 raise half a trillion dollars to build
20:40 some buildings to stick chips
20:43 in you're we're playing a different game
20:46 right like these companies are raising
20:49 sums of money that are you know country
20:54 scale um and so yeah so so if China
20:58 comes in and says says oh you don't need
21:00 all those chips you don't need all those
21:01 pesky chips you can do it on a Raspberry
21:04 piie we we we trained we train deepsea
21:07 car1 on a Raspberry Pi over a weekend
21:11 with some teenager in in his parents
21:16 garage if that was plausible they would
21:18 have said
21:22 that chat gp. goov launched all right
21:25 just just in time for all of the uh
21:28 govern mental agencies to be dismantled
21:33 perfect although I suppose since all the
21:36 tech companies uh gave gave money there
21:38 at the last minute they're gonna they're
21:40 gonna be
21:41 okay um all right let's make a podcast
21:47 shall
21:48 we so if you haven't been here for the
21:51 past few nights um we we I resisted as
21:56 long as I could Brandon was like you got
21:57 to use this thing called jelly pot it's
22:00 really cool you gotta use it and I was
22:02 just like yeah whatever don't you have a
22:04 show to produce dude and he was like
22:07 yeah whatever you should use jelly pod
22:09 and then he went on vacation and I
22:10 thought he was GNA forget it and he
22:12 didn't and so we gave in and one night
22:17 we used it it's actually pretty cool so
22:19 so now we have we had chat GPT write the
22:23 description of the podcast hosts write
22:26 the outline of all of the or the
22:29 description of of the first 20 episodes
22:31 Corey Sandler made us really cool
22:34 graphics for all the
22:36 episodes based on what chat GPT wrote um
22:40 and then you just you just make it so
22:41 we're gonna make it we're gonna go new
22:45 episode you can see this right I'm I'm
22:47 sharing okay I don't I'm not being
22:49 screamed at by my
22:53 producer all
22:55 right fr
23:00 taky how what's
23:03 happening nice to meet you welcome to
23:05 the AI learning lab we're making a
23:09 um a new podcast so we're gonna go back
23:12 to chat
23:15 JP and we got to go find
23:20 podcast come on podcast host concept
23:24 idea actually you know what I should
23:27 probably rename this shouldn't I
23:31 podcast
23:35 host can
23:37 I how do you change the name wait where
23:41 is
23:44 it qu is
23:51 here oh you're not seeing anything
23:54 [Laughter]
23:57 oh oh I hate my
24:05 life I'm just trying to find a a chat
24:08 over here so there's not much to look
24:10 at if I go here search
24:14 chats podcast host concept idea January
24:20 22nd where's is it where is it where is
24:23 that
24:28 [Music]
24:36 operator podast podcast host concept
24:41 idea okay rename
24:45 um what the
24:48 fact
24:52 episodes boom okay so now it'll be a
24:55 little easier to find because it's all
24:57 caps
25:00 that moved it to the top there you go
25:03 okay so here we are let's go up and get
25:06 yesterday was episode five today's
25:08 episode
25:10 six so these are already done you know
25:13 when it comes to coming up with podcast
25:16 concept ideas in the olden timey days we
25:19 would actually use our what we call our
25:24 brain we don't need those anymore we
25:27 don't need those thinking
25:35 bra add source and then we'll go back
25:38 and just grab oops go back and
25:41 grab the Wikipedia thing on its own in
25:44 case it somehow missed that and what I
25:47 gave it
25:48 before that so we're adding sources so
25:51 one source is just the description that
25:52 chat GPT gave the other source is a
25:55 Wikipedia article on cookie chemistry
25:58 the Alchemy of dough and chocolate love
26:02 it all right so we're going to say
26:07 create and now it's going to create an
26:09 outline for us and I've got to put my
26:11 little black box here for the
26:12 ticktockers because they get cranky by
26:14 the
26:15 way uh two nights ago someone started a
26:19 rumor that the people on Tik Tok hated
26:22 the people on YouTube and the feeling
26:24 was Mutual I just I just I want to quash
26:28 that right now that that is a horrible
26:30 rumor that was started by definitely not
26:34 me that was started by other people
26:37 definitely were definitely talking about
26:40 it was definitely not
26:46 me Cookie
26:48 chemistry all right adjust
26:51 size so don't give in if if those
26:55 YouTube people come at you ticktockers
26:57 don't give in don't take the bait that's
27:00 what they want they just want to upset
27:09 you okay so we're gonna add Corey
27:11 Sandler's lovely artwork here to the
27:14 little Tippy toop cookie
27:17 chemistry beautiful Twitter view versus
27:20 Blue Sky YouTube hugs from Tik Tok yeah
27:22 you guys should really you should I'm
27:24 not angry I'm I'm abrasively happy you
27:27 know what's funny that's Champ's
27:29 personality to a T he is the friendliest
27:33 dog but he is aggressively friendly so
27:35 you're pretty sure he's going to destroy
27:37 your life and he just wants a pet he
27:40 just want he just wants you to love him
27:42 but he's he's like a fire plug
27:47 so this is my first time on here the the
27:50 Z the the rumors of a feud between Tik
27:54 Tok and YouTube it's not true don't
27:55 believe it stay here people are actually
27:57 really nice
27:59 it it was me that started the the rumor
28:02 that there was a
28:05 feud I just thought it would be good to
28:08 to stir some people up okay so we got to
28:11 add a
28:13 chapter and we'll drag this chapter to
28:15 the top and then we'll say
28:18 introduce this
28:21 episode um Let the Good folks know this
28:27 is Epis
28:29 episode
28:31 six um tell them
28:36 that this is an
28:40 awardwinning wait an
28:42 award winning podcast by the way I'm at
28:46 jelly pod.
28:48 podcast and then I'll go dot dot dot
28:51 what
28:53 award question
28:55 mark the lower
29:00 pipsy the Lower
29:08 pipy
29:10 County
29:12 um let's
29:14 see
29:16 um
29:18 radio
29:21 Innovation
29:23 participation certificate
29:25 [Laughter]
29:34 oh by the way if you're new here pretty
29:37 much what this is there's some learning
29:39 there's some teaching but this is
29:41 primarily a vehicle for me to crack
29:43 myself up okay um
29:48 sponsored by the AI salon and then the
29:55 salon. all right the salon . a be sure
30:01 to
30:04 mention the URL okay so there we
30:09 go so so this is now an award-winning
30:12 podcast because they couldn't say it if
30:14 it wasn't
30:16 true generate the script so off it goes
30:19 it's going to do its thing questions
30:21 certification yeah can't say
30:23 certification that would imply that we
30:25 actually did participate in something
30:32 don't believe the
30:34 hype a lot of us are on both yeah the
30:37 Traders there's there's Traders here
30:40 that will watch the YouTube version of
30:42 this on their big 80 screen 80in screen
30:45 TV and then they have a side chat going
30:47 on the Tik Tok you can't you can't trust
30:51 them as far as you can throw their TV
30:53 which is not that far you ever tried to
30:55 throw a 30 80 inch tv not easy not easy
30:59 at all all
31:00 right this is philic I meant to say hi
31:03 the first time this is the government
31:05 name nice Phil Phil philic good to see
31:09 you welcome welcome back newbies Kyle
31:12 speaks the truth I only speak the truth
31:14 I would never lie
31:16 listen I'm saying it on Tik Tok that
31:19 means it's
31:20 true we're the New
31:23 Media we're the new news journalism
31:29 you guys are cute all right um what
31:33 platform are you playing with tonight
31:34 well we're starting with uh jelly
31:36 pod and jelly we're just doing our our
31:40 uh oh I got to generate the audio let's
31:41 do that uh this is a podcast generator
31:44 oh no I gotta pay for it all right so
31:46 we're not gonna finish this tonight I'll
31:48 deal with this I'll deal with this on
31:50 the other side I'm not gonna risk
31:51 putting my credit card on the internet
31:53 I've done that before
31:58 all right so let's let's jump in um
32:02 let's jump into some video stuff so we
32:05 started
32:06 yesterday with um minia max halou Halo
32:11 he Lou there's a there's a little
32:14 picture of
32:16 me showing how you're supposed to treat
32:19 art in a fancy Museum you're supposed to
32:21 walk right up to it and touch
32:24 it and then we made a cool little
32:29 VI of an ice monster so that was pretty
32:35 slick and we did that so this is using a
32:37 thing um camera moves where you can do
32:41 like an over the-shoulder shot there's
32:43 your over theh shoulder shot and that
32:45 was sort of a tracking shot with her and
32:47 then something in the background push in
32:49 low angle camera roll um so we did that
32:54 now the Cliffhanger from last night was
32:57 then we moved on to cling which has this
33:00 thing called elements and this is the
33:01 thing where that you you can add
33:05 um four different images and have those
33:08 things included in the video so check
33:10 out the results here are the results
33:14 from last
33:16 night there it is so there's
33:21 your over here on the left are the four
33:23 things right so this woman in these
33:26 sunglasses wearing this coat walking in
33:29 front of this building I thought it was
33:30 cool it didn't take the it didn't take
33:32 the style of of that photograph of the
33:34 building but that is the
33:37 building and you know she's got all
33:39 these lilacs around her in this
33:41 Photograph and now she's walking through
33:42 a field of lilacs in front of that
33:45 Cathedral wearing the sunglasses wearing
33:47 the green coat I think it's it's pretty
33:50 pretty damn
33:52 defective and what did we The Prompt
33:55 here is woman wearing sunglasses and a
33:57 coat walk in front of a large building
33:59 in a surreal shot where the camera
34:02 tracks with her as she
34:03 walks so it's doing all that pretty
34:09 good this is another one I did
34:28 all right
34:32 um so let me give you a couple of
34:34 thoughts for the for the new folks
34:37 here when we're deal sorry let let's
34:40 let's not have you have to watch that
34:42 let's watch the lady walk this is
34:45 better um can I make this bigger oh yeah
34:47 look
34:56 look all right there's there's lady
34:58 walking it's pretty
35:02 good the wheels are working were the
35:05 wheels working in that
35:08 video wait hang
35:14 on come on what's
35:21 Happening oh the wheels are
35:26 working well they kind of kind of skid
35:28 at the
35:35 end I think I think crazy Kyle looks
35:42 great all right oh [ __ ] this thing keeps
35:45 doing
35:47 this all right there we
35:50 go okay do they actually say that AI
35:53 learns something every day I don't know
35:57 who they is
35:58 I don't think the AI is not learning
36:01 from us as we're using it I don't think
36:04 although
36:06 apparently deep seek R1 doubled its
36:09 speed her walk is fierce it is isn't it
36:12 it's totally a fierce runway model
36:17 walk got a Robert Smith Vibe going on
36:20 there very
36:21 cool Christine the killer car movie you
36:25 entertain yourself well thank you very
36:27 much
36:28 [Laughter]
36:30 did I miss a the AI this is this is
36:34 cing cing AI version 1.6 with
36:39 elements oh so here's the here was the
36:41 here's the caveat I'm going to give you
36:42 about video models the video models are
36:46 still very very janky I think this is
36:48 one of the more effective ones it's
36:50 still got a little weirdness in it it's
36:52 still got a little you know like the
36:54 flowers move weird and I I would imagine
36:58 if you upscaled this to 4K in some other
37:02 thing it would probably be
37:04 fine um the problem with the video
37:07 models is they're really expensive you
37:10 you know if you're not spending 60 or
37:12 you know 90 bucks a month you're not
37:15 getting enough credits to really play
37:16 with them enough to get good at them um
37:20 that will likely change but it it's it's
37:23 still kind of a problem so what I what I
37:26 encourage you all to do
37:29 is for every one of these models and and
37:32 Brandon had them up on screen if you
37:33 could toss those up on screen again
37:38 um almost every one of these has what's
37:41 called a creative partner program and
37:43 the creative partner program is they
37:45 want people talented people who have
37:48 stories to
37:50 tell um to make good [ __ ] with their
37:52 tool right they want someone to make a
37:55 hit movie with their tool so everyone
37:56 goes I got to use that tool so it's in
37:59 their interest to have lots of people
38:03 use these things um and and do it on
38:06 their behalf so if you get into one of
38:07 the creative partner programs they tend
38:09 to give you a big old pile of credits
38:12 that that you won't burn through super
38:14 quickly so
38:17 anyway that's that all right so that's
38:19 cling so yesterday we looked at Minx um
38:23 today or to today and yesterday we
38:26 looked at cing
38:29 what are we going to go to next I think
38:31 I want to go to Pika p. art so if you go
38:34 to p.
38:38 art um p. art has a couple of things in
38:43 it that I think are interesting um let
38:46 me go back out
38:48 here so they got Pika 2.1
38:58 all right that's everyone else's [ __ ]
39:01 here's my [ __ ] what did I do with Kevin
39:06 [Laughter]
39:12 mallister okay so down here at the
39:16 bottom all right you can take that
39:17 Banner away so I can see the interface
39:20 here for people
39:27 [Music]
39:35 okay down here at the bottom so we're in
39:38 p.
39:41 art creative and precise that's
39:48 interesting tells P to limit creative
39:51 interpretation creative give P more room
39:54 to play oh let's leave it on Creative
39:57 for sure
39:59 okay so there's four different ways that
40:02 you can use paa you can just do text to
40:04 video so you can just describe it you
40:07 can upload an
40:09 image so if we wanted to take I don't
40:14 know yeah that's a good
40:17 one and just
40:19 say woman
40:23 dances I think you can see you can all
40:26 see that boom we'll generate
40:31 that um so that's going to be doing that
40:34 then they've got this thing called Peak
40:36 effects
40:38 like special
40:40 effects and these are pre built
40:46 things um that have sound effects with
40:49 them and a very specific video
40:52 um video special effect so we'll take
40:56 that woman we'll we'll take the same
40:58 woman we'll say woman dances we'll do
41:01 Peak effect and then we'll say what do
41:04 we want her to
41:05 do let's have her melt melt or crumble I
41:09 think melt because she's in a flowy kind
41:11 of a dress melt it
41:16 bang all right so she's going to be
41:20 melting and then the third choice here
41:24 is ingredients and so this is this is an
41:29 identical
41:30 feature to cing where you can upload
41:34 multiple things so let's go back to
41:36 cling for a second let's grab the prompt
41:39 copy go back to
41:42 P paste it in
41:44 there and then let's let's go
41:48 add those four things from yesterday
41:51 right so
41:52 there's there's
41:55 her I think you have to do these one at
41:57 a
41:58 time and then there's her
42:04 sunglasses and then there's her dress or
42:07 her
42:10 coat and then here's the
42:12 building right let's atomize her okay
42:16 we'll atomize
42:17 her um so we're going to use the exact
42:20 same prompt that we used
42:24 in
42:25 cling you see how can't remember there's
42:28 too many there's too many video tools
42:30 right now that's the other problem with
42:31 the video tools there's too many of them
42:33 all of the features blend together
42:35 they're it's crazy it's crazy um okay so
42:38 let's do that something went wrong
42:42 why what went wrong woman wearing
42:44 glasses and
42:46 coat walk in front of a large building
42:50 in a surreal
42:51 shot in a surreal
42:55 scene that they flag shot
43:04 say woman
43:13 walks huh that
43:15 worked what is it about this
43:18 woman woman wearing sunglasses and a
43:22 coat walks
43:36 now it now it
43:41 went oh maybe that's just a
43:45 bug yeah maybe it's a bug where um if
43:49 you put in the text prompt first and
43:51 then upload the images it breaks it
43:54 that's probably what it was all right
43:56 whatever okay so those videos are making
43:59 they're doing their
44:01 thing this is p. art yes if anyone has
44:04 any questions pop them into either
44:06 comments I will definitely sort of
44:10 occasionally maybe look at them Korea
44:11 gives you access to all the video models
44:13 and the price is reasonable yep we're
44:15 going to go to Korea
44:17 next um price is reasonable it also has
44:20 flux and 3D yes Stacy that's a that's a
44:23 good point
44:25 um Korea is a really interesting one
44:28 there there's a couple of them that are
44:29 interesting I think Luma lab's dream
44:31 machine is interesting I think they have
44:33 a really interesting
44:34 interface um I think Korea because you
44:37 can play with a lot of different models
44:38 there is really
44:40 interesting um okay so wait this one was
44:43 her dancing that's not bad except for
44:47 her her giant her giant Rose head is
44:53 weird see how it's janky see how it's
44:56 like it's kind of cool and then when she
44:59 turns you're like yeah the physics don't
45:03 work and then her arms are up and then
45:05 they're down and then they're behind her
45:06 and then they're in front of
45:08 her that's where video is and this is
45:11 what's so maddening about it is if
45:14 you're paying 60 bucks and you only get
45:18 whatever it is 200 Generations in a
45:22 month for that 60 bucks and you get [ __ ]
45:26 like this it is my opinion I shouldn't
45:28 have to pay for this [ __ ] but it is
45:31 their opinion that you're still using
45:33 GPU Cycles so I understand their concern
45:37 but you know make your [ __ ]
45:42 better have you got any experience with
45:45 image to vid fair amount I need to
45:47 animate this image and LTX V and comfy
45:52 Didn't Do It um I mean here's been my
45:56 experience who's the person that said
45:58 that F the man here's my experience F
46:01 the man
46:04 is all of these video models have
46:07 different personalities and are like
46:09 better at different things some of them
46:11 can do underwater stuff really good some
46:14 of them just fail miserably at
46:16 underwater stuff some of them twirling
46:19 and dancing like like um yeah Runway is
46:22 really good at dancing but Luma Labs is
46:25 good at just general movement
46:29 um so so the the the challenge is it's
46:34 not you it's
46:37 them they're just bad they're just we're
46:40 we're still in in in janky Town part of
46:43 the industry phase of the industry all
46:51 right wait turn on the audio
46:57 [Laughter]
47:04 [Laughter]
47:09 oh good lord okay um Let's do let's do
47:12 one more Peak effect with with with our
47:14 friendly little lady here um wait where
47:19 did Peak
47:21 effect we got to upload an image what
47:24 where's our image
47:30 wait what am I doing I'm
47:32 doing her yeah all right she goes up
47:39 there did I lose her what what is going
47:42 on with the
47:44 interface dang
47:46 it
47:50 image am I did I do something weird
47:58 ingredients
48:03 image rose it Peak effect okay it's in
48:06 there so what did someone want to do
48:08 atomize
48:12 it disolve it deflate it tear it
48:14 levitate it crush it melt
48:17 it no audio on YouTube oh
48:23 okay oh explod
48:25 it we can decapitate
48:30 it that's
48:32 [Laughter]
48:41 morbid uh you can make Lura models of
48:44 yourself and use it in all the images
48:46 yeah that's the other thing that I'm
48:48 going to play with tonight one of the
48:49 other ways that you can get control in
48:53 video is you can you can learn how to
48:55 use mid Journey where you can use
48:57 character references or you know any of
49:00 the other tools that do you know
49:02 consistent character stuff and bring
49:04 those images in as starting images so
49:07 there's there's stuff to do there okay
49:10 this one is woman walks so this
49:18 is she's wearing the right coat it
49:20 doesn't really look like the woman she's
49:22 not wearing sunglasses and it doesn't
49:24 have the building
49:27 this
49:28 one has the ability remember when I told
49:31 you the it was weird that the that
49:35 cing didn't use the style but this this
49:38 one did and here she looks like a weird
49:42 ass doll she does not look like a
49:44 woman cake it bop
49:48 it um so I would say in this in this
49:52 showdown of of uh elements versus
49:56 ingredients I think cing is the clear
49:59 Victor like this is that's
50:02 good that looks like the woman those are
50:05 the glasses that's the coat those are
50:07 the flowers that's the
50:11 building now hang on let me try
50:14 something
50:15 here let's go back to
50:17 Pika let me flip this creative mode
50:22 where where did that creative mode go
50:29 God the the interface on these things
50:32 okay
50:33 precise so let's go grab the four
50:38 Images can I grab them all at the same
50:40 time looks like I
50:41 can all right there's the images here's
50:44 the
50:47 prompt all right that's working so
50:50 prompt first then it images it will
50:53 crash images first then the prompt it
50:56 won't crash
50:57 there I found a bug for
50:59 you you're welcome you're welcome
51:03 [Laughter]
51:07 [Music]
51:10 Pika you can change the outfits and
51:13 style easily on cling also yeah clling
51:15 has this cool thing
51:20 called is it
51:24 effects frames
51:31 don't they have a they have a specific
51:33 thing like change outfit or something
51:36 like that don't
51:40 they upload local dubbing so they have
51:43 lip sync oh we should try some Lip Sync
51:46 here
51:48 um let's jump into lip
51:51 sync identifying the reader
52:12 [Laughter]
52:13 oh wait you can't hear this damn
52:17 it sorry
52:20 people got to change my tabs and now I'm
52:23 going to I'll jump back to um p and you
52:26 won't be be able to see
52:28 it because that's how things go
52:32 here okay um we're doing lip sync so
52:37 we're going
52:38 female how many are there
52:42 hear remember my dear you are strong
52:46 there you go
52:50 okay
52:53 I'm a
52:55 bad ass
53:02 [ __ ] and
53:04 I walk where I
53:08 walk wait I walk where I
53:13 want when I
53:18 want and
53:21 wait and I walk where I want
53:28 when I
53:31 want
53:34 and
53:37 anyway I
53:39 damn well
53:45 please okay how do I do this now I guess
53:48 I go
53:54 generate right
54:01 11 minutes okay so let's go doing that
54:04 we'll come we'll come back to here we'll
54:06 come back to her see how that
54:10 is
54:12 [Music]
54:14 um am
54:15 I are we listening to anything on Pika
54:18 yeah we're listening to One Thing on
54:19 Pika so we'll do it this way
54:28 yeah this is better okay
54:31 so this one which is weird we had it do
54:36 the Creative thing and so see how this
54:38 is more cartoony and
54:40 weird and then this one is
54:45 precise so that looks more like her the
54:48 glasses aren't quite right but you know
54:50 it's enough in the neighborhood that you
54:52 could get there I still think King's
54:54 better but it's still pretty remark
54:57 we we live in a time now where you can
55:00 make images like all of the images that
55:03 we used as the source images here were
55:05 made in mid Journey right we just made
55:07 them out of nothing and we took those
55:09 images we made out of nothing and
55:11 combined them and now they're they're
55:13 animated and living in this in this
55:16 crazy ass
55:24 thing did we did we do
55:27 a I thought we were going to do that
55:30 lady a peak effect of her did we not do
55:33 that maybe we
55:43 didn't Peak effect
55:46 bang we need an image in there don't we
55:49 Peak effect
55:57 I don't understand their
56:01 interface I hate shitty
56:05 interface we were going to blow her up
56:07 right or decapitate her no let's explode
56:09 her I think explode her is better hang
56:11 on I got to do a physical dexterity
56:14 Challenge on Tik Tok did I do it yay I'm
56:18 a
56:21 winner one of these one of these days
56:25 the boots are going to walk all over you
56:28 exactly um virtual Tryon it's called
56:31 change outfits yeah where is that
56:33 incling anyway I'll go back to that so I
56:35 got Peak effect here explod it maybe I
56:38 just got to upload the image
56:41 now desktop Rose
56:49 head open is it in there
57:14 1.5 I'm so
57:18 confused any
57:20 help already heard of the new image
57:23 generating model from Deep seek called
57:24 Janice Pro yeah I went I played with it
57:27 it's it's
57:29 awful so so the good news is that deep
57:33 seek you know not only did a chat Model
57:36 A reasoning model and a multimodal model
57:39 they're also apparently going to be
57:41 doing a voice like a an advanced voice
57:44 model and a um agent model the one that
57:48 surfs the web apparently they're doing
57:50 all of those because
57:53 apparently they were inspired by open AI
57:58 um the multimodal model is shitty my my
58:02 um 70s muscle car in an abandoned
58:05 Factory had laughably bad results so I
58:09 I'm not too worried about
58:11 that I don't get why I can't add an
58:14 image here hang on a sec let me try
58:15 something
58:19 else
58:23 um desktop where's Rose there's Rose
58:27 10 okay there we go exploded
58:31 bang we going we doing that we'll do it
58:37 [Laughter]
58:40 [Music]
58:44 live we will explode her I think this
58:47 this video is pretty
58:53 cool I kind of like so one of
58:59 the one of the things
59:03 that I've discovered that I like doing
59:06 to to learn the personalities of
59:09 different AI
59:11 things is you come up with a prompt or
59:16 in this case a set of images like I feel
59:18 like this would be a good set of four
59:20 Images right the woman you know laying
59:22 her head on the flowers the sunglasses
59:24 the green coat and that weird ass
59:26 building
59:27 like those feel like a good four
59:29 elements to just test across models as
59:32 as all these models have these
59:33 capabilities because what you end up
59:35 doing like with llms I did the um create
59:39 an Eminem rap about quantum mechanics um
59:43 and it couldn't do it for two years and
59:45 then all of a sudden it could and I knew
59:47 instantly that that model was better
59:49 than things that had come before um my
59:53 70s muscle car in an abandoned Factory
59:56 when I tested the Adobe um Firefly model
1:00:00 which had been trained only on public
1:00:02 domain images clearly the public domain
1:00:05 images stopped at like
1:00:07 1964 because 70s muscle cars all looked
1:00:11 like 1960s early 60s Russian sedans they
1:00:15 were really funny um so so it's a thing
1:00:20 to try is you know just just try
1:00:23 something that you don't have to think
1:00:25 about and as as soon as a new model
1:00:26 comes out try your your test thing um
1:00:30 and I feel like these four Images are
1:00:31 kind of a cool a cool thing to do um all
1:00:36 right has she exploded yet our dancing
1:00:39 woman no she's off doing that let me
1:00:41 change out
1:00:44 my sharing and let's go back and
1:00:47 see if we've got talking
1:00:55 lady as at Time 5 minutes okay so let's
1:00:58 go look at
1:00:59 Korea while those other two things are
1:01:02 rendering so let me change sharing mode
1:01:08 again Korea is one that I don't have a
1:01:12 ton of experience in there's a lot going
1:01:15 on here
1:01:17 though there's a lot of cool stuff here
1:01:20 Korea is starting to be I used to
1:01:23 recommend a tool I just haven't done it
1:01:24 in a while because I haven't used it but
1:01:26 I used to recommend a tool for image
1:01:28 generation called Leonardo and what
1:01:31 Leonardo was was a commercial front end
1:01:34 on top of stable
1:01:36 diffusion what Kaa is doing is they're
1:01:38 kind of doing a similar sort of thing
1:01:40 for video where they let you play with
1:01:42 lots of different models and and they've
1:01:44 got all sorts of cool things but they're
1:01:46 they're basically using lots of
1:01:47 different models and assembling them
1:01:49 into this kind of uber tool but as they
1:01:52 add more [ __ ] to it it gets it gets
1:01:54 really complicated are any models open
1:01:57 source to run on
1:01:59 local I think I I I I know um
1:02:05 stable stable video I think it's called
1:02:09 um is open source I I don't know what
1:02:12 kind of Hardware I don't know if you
1:02:14 need big Iron to run it you may you may
1:02:16 but I don't know I haven't tried to
1:02:18 install any of these things locally but
1:02:21 probably it's probably more than just
1:02:23 stability that has it um
1:02:27 um all right
1:02:30 present stop screen
1:02:32 [Music]
1:02:33 present share entire
1:02:40 screen okay so let me go to the home
1:02:45 screen so where do we even begin here
1:02:50 um so they have they have a lot of tools
1:02:53 so if you want to generate images
1:02:55 they've got flux for generating
1:02:59 images I think I've made some images
1:03:01 here baby
1:03:02 Yoda some muscle
1:03:08 cars man in a leather coat oh yeah I
1:03:11 made a oh they've also got they've also
1:03:14 got wait let me go back to training here
1:03:17 so so they've got image
1:03:20 generation edit modify and transform
1:03:23 images so in In-N-Out painting for
1:03:25 images so that's edit then they've got
1:03:28 video
1:03:29 generation then they've got real time
1:03:32 which is also kind of video generation
1:03:34 but it's it's generating images in real
1:03:37 time which kind of makes it like this
1:03:39 weird animation then they have an
1:03:43 upscaler and then they have fuse a logo
1:03:46 graph graphic with any scenery you can
1:03:49 imagine that sounds cool there's a
1:03:50 pattern
1:03:51 maker and then there's an infinite
1:03:54 canvas for all of your AI generation so
1:03:56 there's all sorts of [ __ ] to do
1:04:00 then Ultra fest video Generation Now
1:04:03 with sound you can yeah with with Ka you
1:04:07 can now automatically generate sound
1:04:10 effects from a video that you create so
1:04:11 we'll try
1:04:13 that um and then they they have um this
1:04:17 training button and in the training
1:04:20 button you can create Styles so you can
1:04:24 create um visual Styles but you can also
1:04:27 create character
1:04:29 Styles so if I come in here upload three
1:04:33 or more images of the same style face or
1:04:41 object and then if I say use with flex
1:04:44 so I
1:04:46 uploaded is that a real image of me yeah
1:04:51 I uploaded a real image of me and two AI
1:04:54 images of me and I called it Kyle
1:04:58 hybrid and then it gives you a style
1:05:00 code so if I copy that style code now we
1:05:04 can go generate a
1:05:07 video we'll do 720p n we'll do 520p 512
1:05:11 so it'll be faster uh
1:05:14 man
1:05:17 um sits on a
1:05:21 bench
1:05:24 with pigeons
1:05:29 At His
1:05:31 Feet pigeons at his
1:05:34 feet all right we'll generate
1:05:37 that one minute
1:05:40 remaining question on YouTube from Raj
1:05:44 okay
1:05:48 Raj what do you think are the
1:05:52 advantages of someone
1:06:03 wait cling just cling just came to life
1:06:07 we got we gotta go back to cing I'll get
1:06:10 back to your question in a
1:06:11 [Laughter]
1:06:16 second want when I want and anyway I
1:06:20 damn well
1:06:22 please that's pretty good I'm a badass
1:06:25 [ __ ] and I walk where I want when I
1:06:28 want and anyway I damn well
1:06:32 please and she does a weird mouth thing
1:06:34 at the end there but you could just cut
1:06:36 that so maybe we'll go maybe we'll go
1:06:39 get her some some fancy ass uh maybe
1:06:44 we'll go get her some fancy ass music go
1:06:46 make her some fancy ass music I'm a
1:06:48 badass [ __ ] and I walk where I want
1:06:51 when I want and anyway I damn well
1:06:54 please um
1:06:56 all right what are we G to do did I sh
1:06:58 did I share the audio there you can hear
1:07:00 that right I was hoping for John Wix
1:07:02 Vibes train your train a model of
1:07:05 yourself under the train tab yeah that's
1:07:07 what I did you can hear okay good um
1:07:10 what are the advantages of someone who's
1:07:11 starting early
1:07:13 um okay this is important this is really
1:07:18 important great question great question
1:07:24 because what what I can promise you is
1:07:28 what I'm teaching you right now is going
1:07:31 to be Irrelevant in three months I can
1:07:33 promise you
1:07:35 that and you could also say well you're
1:07:37 not really
1:07:40 teaching you could you could troll me
1:07:43 and and call me unqualified and say that
1:07:45 I'm not really teaching
1:07:48 but couple of
1:07:51 things being early right now
1:08:00 so so one of the things that we talk
1:08:02 about on this channel is people having
1:08:05 their first Kevin McAllister moment and
1:08:09 Kevin McCallister is from the movie Home
1:08:10 Alone and it's this
1:08:12 moment
1:08:14 right AI does that to
1:08:18 people
1:08:19 because we all know how computers work
1:08:23 and we all know what computers are
1:08:25 capable
1:08:26 of and what happens consistently with
1:08:29 generative AI is that the computer is
1:08:32 now capable of something that it wasn't
1:08:35 remotely possible to do two years
1:08:40 ago and I think a lot of people have the
1:08:43 assumption that well yeah but it's just
1:08:47 it's just a stochastic parrot it's just
1:08:48 a probability engine predicting the next
1:08:51 token it doesn't do anything creative
1:08:56 I'm sorry we just took four images that
1:08:58 were created out of
1:09:00 nothing combined them together into this
1:09:03 thing and gave her some cheesy ass line
1:09:07 from some shitty
1:09:09 commercial and this now exists right the
1:09:13 the the the video thing that we just
1:09:15 showed
1:09:18 here
1:09:23 like where's her audio
1:09:26 why are you not talking I'm a badass
1:09:29 [ __ ] and I walk where I want when I
1:09:31 want and anyway I damn well
1:09:37 please so part of
1:09:40 it part of it is
1:09:49 just going
1:09:51 through you know you know it's almost
1:09:53 like
1:09:57 what are they what is it the the seven
1:09:59 stages of grief or the the is it five
1:10:02 stages seven stages whatever Vicki you
1:10:04 know how many some some amount of
1:10:06 stages stochastic parot is is the is the
1:10:09 phrase of the week um I kind of feel
1:10:12 like there's a seven stage um process of
1:10:18 accepting that AI is here to stay right
1:10:21 at first you kind of dismiss it or or
1:10:24 you're afraid of it you're like oh the
1:10:26 robots are going to kill us and then you
1:10:28 say well it's not perfect and then you
1:10:29 say it just predicts the next token it
1:10:31 can't really be creative there's like
1:10:33 this justification
1:10:36 phase and then when people actually use
1:10:39 it at some point they have this moment
1:10:41 where they realize oh [ __ ] oh [ __ ] I
1:10:45 didn't realize it could do
1:10:48 that that doesn't
1:10:52 stop that holy [ __ ] for me has been this
1:10:56 rolling series of I would say on average
1:11:00 every two or three
1:11:02 weeks it can now do something or I
1:11:05 discover it can do something where I'm
1:11:07 just like oh my
1:11:09 God that's going to change
1:11:11 everything you can look at each one of
1:11:14 these individual little pieces and go
1:11:16 okay that's that specific job or that's
1:11:18 that specific job but when you start to
1:11:20 mash all these things together what you
1:11:22 realize is there's G there's going to be
1:11:25 just completely different ways of
1:11:27 working and even the definition of work
1:11:30 is going to
1:11:31 change
1:11:34 so why be early and why show up at at
1:11:38 things like this and why join things
1:11:40 like the AI Salon which if you don't
1:11:42 know the AI Salon you should go
1:11:44 [Music]
1:11:47 to go to that
1:11:51 URL and click on join our community the
1:11:54 reason you should do that is so that
1:11:56 you're in the
1:11:58 conversation here here's where I am
1:12:00 right now with what the actual skills
1:12:03 are we need moving
1:12:05 forward there's kind of three of
1:12:09 them and some people are going to have
1:12:11 this naturally and some people aren't
1:12:14 and the people that don't get these are
1:12:17 going to struggle I think the first one
1:12:20 is hyper
1:12:21 curiosity I think just being curious
1:12:24 showing up to [ __ ] like this joining
1:12:26 something like the AI salon and talking
1:12:28 to people and asking questions why does
1:12:31 it work like that why can't it do
1:12:33 this it looks like it can spell but then
1:12:36 it always [ __ ] up the letters why is
1:12:37 that when's it going to get better right
1:12:39 all of those questions are really
1:12:41 important being hyper curious is
1:12:45 critical because this shit's changing
1:12:47 all the time so if you're like yeah I'm
1:12:49 a little curious let me see what it does
1:12:51 okay I I figured out Korea that's pretty
1:12:54 cool yeah I got that I got it
1:12:56 no no Korea is going to be a completely
1:12:58 different tool three months from now
1:13:00 every single tool is just
1:13:03 morphing hyper curiosity is the first
1:13:05 one the second one is hyper adaptability
1:13:08 and this is going to be a hard one for
1:13:10 some people because if you want to lock
1:13:12 [ __ ] down you're like I'm GNA go to my
1:13:13 training I'm G to do the prompt I'm GNA
1:13:15 take the prompt engineering course the
1:13:17 17th step prompt engineering course and
1:13:20 I'm gonna the prompts are going to be
1:13:22 I'm going to write down the at the
1:13:24 spreadsheet and up and and you try to
1:13:26 make you try to make generative AI act
1:13:30 like computers used to
1:13:33 act which is
1:13:37 predictive computers behave consistently
1:13:40 because they were programmed with logic
1:13:43 right and so you would put in your
1:13:46 expected input and you would get your
1:13:47 expected
1:13:49 output that's not how generative AI
1:13:51 works you put in an input and weird [ __ ]
1:13:54 comes out and sometimes that's [ __ ]
1:13:57 brilliant and sometimes it's wrong and
1:13:59 sometimes right so adaptability the just
1:14:01 the ability to you need to be curious
1:14:04 enough to figure out what are all these
1:14:05 tools and how do I play with them and
1:14:07 then you need to be adaptable enough to
1:14:08 go oh [ __ ] things just
1:14:11 changed what do I do now I'm gonna
1:14:14 recombobulate
1:14:16 things don't get discom well no you will
1:14:20 get
1:14:21 discombobulated the the the superstars
1:14:25 of the fure future will be the
1:14:27 recombobulator the curious
1:14:29 recombobulator so those are two hyper
1:14:31 curiosity hyper adaptability and then
1:14:33 the third
1:14:34 one and this one's going to take a while
1:14:37 because I think this one's deeply
1:14:39 personal for all of us
1:14:44 but because you're early and and you now
1:14:48 are experiencing holy [ __ ] things are
1:14:51 going to be
1:14:52 different and I think at this point we
1:14:55 can all accept the fact that AI is not
1:14:57 going away this isn't a hype bubble this
1:14:59 isn't nfts and blockchain and all that
1:15:02 [ __ ] that you know will eventually
1:15:04 be something but it went away because it
1:15:05 had to this isn't going
1:15:08 away and these tools are getting better
1:15:11 and better and better and better and
1:15:13 better and by the end of this year you
1:15:16 will likely have
1:15:18 employees that are virtual
1:15:22 agents that are as skilled as
1:15:26 like the average midlevel employee in
1:15:29 any
1:15:31 category so like imagine having a 10p
1:15:34 person company where you could do
1:15:35 anything you want so the third thing is
1:15:38 what do you want to
1:15:40 do assuming that all of the
1:15:44 work that you used to do could get done
1:15:47 by other stuff what would you choose to
1:15:49 do and assuming they figure out the
1:15:52 financial part of this the financial
1:15:54 part of it is a big deal I don't
1:15:56 understand how we're going to get there
1:15:57 but we have to get there right we can't
1:15:59 just let the economy collapse because
1:16:01 everything's done with chips now people
1:16:03 still will do
1:16:05 [ __ ] they will get paid to do that [ __ ]
1:16:08 what is that [ __ ] I don't
1:16:10 know does everyone have four companies
1:16:15 hyper desire maybe hyper desire hyper
1:16:17 Cur well I don't know if it's desire I
1:16:19 think it's
1:16:20 hyper expression Maybe
1:16:25 hyper self-expression like like what do
1:16:27 you want to do do you want to make
1:16:29 people laugh do you want to inspire
1:16:31 people do you want to help people do you
1:16:34 want to cure
1:16:37 something do you want to like unplug
1:16:39 from this [ __ ] Al together and go
1:16:42 crochet little
1:16:45 turtles and just make the world a
1:16:47 happier place with crocheted Turtles
1:16:49 like
1:16:51 it I'm kind of being factious but I'm
1:16:53 kind of not
1:16:56 over the next five years we're going to
1:16:58 transition into a
1:17:04 world where the mundane stuff can be
1:17:09 handled and we can take any idea in our
1:17:13 head and express it and execute it at a
1:17:17 worldclass
1:17:22 level like in fact like here's a here's
1:17:26 another reason to be early here's
1:17:27 another reason to be
1:17:29 early you've spent your whole life I've
1:17:31 spent my whole
1:17:34 life believing that thing that my
1:17:36 stepdad told me when I was
1:17:38 seven you're piece of
1:17:41 [ __ ] right or whatever it is right yeah
1:17:45 you don't have talent whatever the thing
1:17:47 was that you were you were a py
1:17:50 seven-year-old you had
1:17:51 dreams right everything was going good
1:17:55 and then your teacher gave you a c minus
1:17:57 on the on the art
1:18:02 thing I remember my my kids when they
1:18:04 were like
1:18:07 six we put them into a
1:18:09 school it was supposed to be like the
1:18:11 super Progressive was Private it was
1:18:13 expensive as
1:18:16 [ __ ] and and the assignment was to draw
1:18:19 a castle and my boys had the audacity to
1:18:23 put a knight in the castle
1:18:27 and they got yelled at because the
1:18:28 assignment was to draw a castle we don't
1:18:30 want knights in this
1:18:32 castle like who knows what that did to
1:18:34 them right like we've all had that thing
1:18:37 so we've all lived our lives with
1:18:38 whatever self-limitations I didn't have
1:18:41 enough money to go to college I didn't
1:18:42 go to an Ivy League school I don't have
1:18:44 a 160 IQ what whatever is the thing that
1:18:48 we've all got in our
1:18:51 head what if you did have 160 IQ what if
1:18:55 you
1:18:57 could make
1:18:59 movies without having to go to Hollywood
1:19:02 and sleep
1:19:04 around
1:19:06 right what if you could make an album of
1:19:09 a particular of educational songs that
1:19:12 were also entertaining what if you
1:19:15 could what what if you could not only
1:19:17 start a business but you could start
1:19:22 five I don't think that's going to be an
1:19:24 easy transition I think that's going to
1:19:26 take all of us a lot of years to
1:19:30 effectively deprogram ourselves to go
1:19:35 okay wait wait so wait I can draw now
1:19:38 and I can make music now and I can make
1:19:39 images now and I can make movies now and
1:19:42 I can solve problems now and I can do
1:19:44 programming now and I can do business
1:19:46 analysis now and I can figure out import
1:19:49 export
1:19:53 sourcing and I can do a counting and I
1:19:55 can do taxes and figure out every
1:19:58 loophole yes you'll be able to do all of
1:20:02 that so what do you do in a
1:20:06 world where all the [ __ ] that you
1:20:09 thought you couldn't do you convinced
1:20:11 yourself wasn't possible what if it all
1:20:13 of a sudden was so I think that's the
1:20:16 third
1:20:17 one hyper
1:20:22 self-expression if you could do anything
1:20:24 what would you you choose to
1:20:26 do how what difference do you want to
1:20:28 make in the
1:20:31 world so that's why to be early be in
1:20:35 the conversation because this is not
1:20:38 this is not trivial [ __ ] this is not
1:20:40 like learn learn you know excel in 19
1:20:45 you know 1987 or whenever the [ __ ] it
1:20:47 came
1:20:49 out all right let me get some comments
1:20:51 going here on on streamyard
1:20:59 Shain saww five stages I just
1:21:01 experienced them all after the Bills
1:21:02 lost yeah yeah exactly yeah it's the AI
1:21:06 thing you know the AI thing is is a
1:21:09 weird one
1:21:11 because I think there's denial like this
1:21:14 this might be kind of fun um I wonder do
1:21:18 I have am I sharing
1:21:22 right no of course not
1:21:32 okay let's say new thing we don't want
1:21:35 reasoning we just want CH je and say I
1:21:40 want to do a version of the five
1:21:45 stages of
1:21:48 grief but for the five stages of AI I
1:21:54 think
1:21:56 first is denial slash
1:22:02 um
1:22:07 dismissive then might be
1:22:13 fear or I don't know
1:22:21 um then
1:22:25 wait
1:22:29 maybe then
1:22:32 there's holy
1:22:35 crap I didn't know it could do
1:22:40 that can you all see this I'll make it
1:22:43 bigger holy crap I didn't know it could
1:22:46 do
1:22:47 that then there might be
1:22:52 Wonder followed
1:22:55 by
1:23:00 fear
1:23:02 um or both at the same
1:23:06 time then there is some
1:23:12 realization of how AI
1:23:17 amplifies your humanity and your
1:23:22 ideas and finally
1:23:25 there
1:23:27 is something about
1:23:32 accepting
1:23:34 that you can
1:23:37 now do
1:23:40 anything that having cognitive
1:23:45 hyper
1:23:48 abundance
1:23:50 means that you are no longer oh this is
1:23:55 good the
1:23:57 bottleneck to your
1:24:05 dreams make that
1:24:08 suck
1:24:10 less and sound like I have
1:24:23 qualifications boom
1:24:27 okay your resonance on Tik Tok Kyle
1:24:29 what's your opinion about alibaba's new
1:24:33 AI bot Gwen 2.5 I don't know I haven't
1:24:35 played with it yet I hear that it's got
1:24:38 um I hear well they're saying that it's
1:24:41 better than R1 which that'll remain to
1:24:43 be seen I hear that it's got
1:24:46 um uh Vision agents so like operator uh
1:24:50 from open AI I hear that's it's got that
1:24:52 out of the box um all of these things
1:24:55 right now they need to get adopted into
1:24:57 other platforms like R1 it only took
1:25:00 about a week but it it's now rolled into
1:25:03 perplexity and a bunch of other you know
1:25:06 services and things like that and it's
1:25:07 got its own thing I don't think that
1:25:09 quen one has been um adopted
1:25:13 yet again I I I go back to the thing I
1:25:15 was just talking about is hyper
1:25:19 adaptability we should assume that
1:25:21 throughout 2025 and probably for the
1:25:24 next five years there's just going to be
1:25:26 this rolling series of oh my God it got
1:25:29 so much better oh my God it got so much
1:25:31 better what do you mean we cured that
1:25:33 disease what do you mean we have Fusion
1:25:35 now like it's just going to be this
1:25:38 insane insane like nothing we've ever
1:25:42 seen series of
1:25:45 moments um so so I think Quin quen is
1:25:49 just yeah okay great it's r1's been out
1:25:53 for a week great another one came along
1:25:55 that's going to knock it off the hill
1:25:57 and then another one's going to knock it
1:25:58 off the hill and then chat GPT is going
1:25:59 to knock them all off the hill and then
1:26:02 right and then Google will do something
1:26:04 that'll it it it's just going to keep
1:26:06 rolling like this for a while all right
1:26:09 the five stages of ai ai adoption as AI
1:26:14 reshapes our world individuals and
1:26:15 industries move through a psychological
1:26:17 and intellectual Journey akin to the
1:26:19 five stages of grief only instead of
1:26:21 mourning we're grappling with the
1:26:23 cognitive hyper abundance AI provides
1:26:27 having spent years at the intersection
1:26:29 of Storytelling and Technology oh that's
1:26:31 that that actually is a reference to me
1:26:33 we can we can lose that um okay uh sorry
1:26:38 um
1:26:39 lose the
1:26:42 references to me and just make this
1:26:48 a
1:26:50 powerful framework for how to think
1:26:55 about
1:26:58 um I was just going to say accepting AI
1:27:01 into our lives oh my God this is this is
1:27:05 turning into a cult hello my children
1:27:08 let's talk about how we accept AI into
1:27:11 our
1:27:12 lives about how we adopt AI let's just
1:27:16 call it
1:27:20 that we we we'll show up at airports
1:27:23 hello have you accepted AI into your
1:27:26 life here's a
1:27:28 rose here's a raspberry piie with all of
1:27:32 the knowledge of Humanity on it
1:27:39 enjoy wow we had the same stepdad that's
1:27:47 awesome oh man uh let's see from Stacy
1:27:51 Rodriguez it's time for us to embrace
1:27:52 our inner child yes explore our creative
1:27:55 possibilities and let computers do the
1:27:57 boring mundane work this is what they've
1:27:59 promised us for years
1:28:02 right but computers didn't do the
1:28:04 mundane work computers just made the
1:28:07 mundane work more
1:28:09 efficient we still did the mundane work
1:28:12 with these tools that made that work
1:28:14 more efficient generative AI is going to
1:28:17 actually do the
1:28:19 work that is a that is a
1:28:22 fundamental profoundly different
1:28:27 world computers have never done the work
1:28:30 for us computers have never had
1:28:33 knowledge
1:28:36 right you know and yeah so all
1:28:40 right let me Let Me Entertain You but
1:28:45 anyway that's a really good
1:28:47 one um all right what's this one
1:28:51 Raj what do you think what do you think
1:28:54 and aspect of AI should I go in is it is
1:28:58 it a theoretical
1:29:01 part is it a theoretical
1:29:03 part which is machine learning deep
1:29:06 learning or application part of
1:29:09 AI and which is more rewarding in terms
1:29:11 of money
1:29:15 um that there's no there's no right
1:29:17 answer to that Raj that's if
1:29:21 you again I would go back to
1:29:25 if you could do anything what would you
1:29:27 want to
1:29:29 do if the thing that lights you up in
1:29:31 the world is you want to get under the
1:29:33 hood of these things and just like you
1:29:35 know a a a a guy or girl that's really
1:29:38 good with cars like can take the car
1:29:40 apart and put it back together again and
1:29:42 make it better like if you want to get
1:29:43 under the hood of AI and build these
1:29:46 models and do the math and do all that
1:29:48 [ __ ] if that's what lights you up then
1:29:50 [ __ ] do
1:29:52 that but we now live in a world where
1:29:55 you don't have to do
1:29:57 that if you've got
1:30:01 good problem solving and reasoning
1:30:03 skills you could take the application
1:30:05 side of this stuff and say how am I
1:30:07 going to combine these four or five or
1:30:09 10 or 20 different Technologies together
1:30:12 to do something really interesting and
1:30:14 what's that really interesting thing you
1:30:15 want to do like again I think part of
1:30:18 our job in the future is to really
1:30:20 deeply ask ourselves what do we want to
1:30:23 do what impact do we want to have on the
1:30:27 world the money thing I think there's
1:30:30 this
1:30:31 shortterm this relatively shortterm I
1:30:34 think it's going to be chaos for three
1:30:35 years but there's a relatively shortterm
1:30:38 thing where these
1:30:41 tools
1:30:44 okay
1:30:47 imagine you had enough money right now
1:30:50 to hire 10 PhD level people for all the
1:30:56 different positions in a company you
1:30:58 want to
1:30:59 start I think by the end of this year we
1:31:02 will have some version of
1:31:05 that now by the end of this year
1:31:08 there'll probably be shitty employees
1:31:10 and we have to manage them a lot but
1:31:12 we're going to have agents that are
1:31:13 going to do stuff on our
1:31:16 behalf and so again you can say what do
1:31:19 I want to do in the world and I'm going
1:31:21 to have these things fill in my gaps
1:31:26 so the the the make money thing the you
1:31:29 can make
1:31:33 money this starts to be a really
1:31:35 interesting question with where AI is
1:31:38 going because in the current world what
1:31:40 you do is say I you know what job can I
1:31:44 get you know or what business if I could
1:31:46 raise money I could go hire these people
1:31:48 and I can start this kind of business
1:31:50 and maybe over two or three or 10 or 20
1:31:52 years that could turn into some
1:31:57 value but we're moving into a world
1:32:00 where you can you can potentially
1:32:02 accelerate that
1:32:04 dramatically but again I think you know
1:32:08 here here's the one thing we can't get
1:32:09 back in our life is
1:32:11 time money there's a great book by a guy
1:32:15 named Joe Dominguez he died bunch of
1:32:17 years back your money or your life by
1:32:20 Joe
1:32:21 Dominguez and the main point of that
1:32:23 book is he defines
1:32:26 money as something you trade your time
1:32:32 for and like he forces you to answer the
1:32:35 question is it worth my time because you
1:32:38 can't get the time
1:32:40 back and he does things like he has you
1:32:42 like really analyze how many hours you
1:32:45 actually put into your
1:32:47 job and how much of the how much of
1:32:50 those dollars you get are eaten by taxes
1:32:52 and divided by the ride to to the office
1:32:54 and thinking about it on the weekend and
1:32:56 [ __ ] like that and you know we all end
1:32:59 up making way less than we think we're
1:33:01 making because it's costing us time and
1:33:04 that's the one thing you can't get
1:33:06 back
1:33:09 so do good
1:33:14 [ __ ] okay let's see if we have a decent
1:33:17 uh framework here the five stages of AI
1:33:19 adoption is AI reshapes Industries
1:33:21 workflows and personal creativity people
1:33:23 tend to move through psychological and
1:33:25 intellectual Journey one that mirrors
1:33:27 the stages of grief But ultimately leads
1:33:29 to an expansion of human potential wait
1:33:31 that okay wait so hang on I'm gonna put
1:33:35 if you haven't seen canvas we're going
1:33:37 to do a little canvas right now put this
1:33:40 in a canvas
1:33:50 [Music]
1:33:57 all
1:33:58 right there we go okay so if you haven't
1:34:01 seen canvas before over here on the left
1:34:04 is our chat
1:34:06 history
1:34:13 um this had a much better thing at the
1:34:15 beginning
1:34:27 so if you haven't seen a canvas before
1:34:29 this is now an editable document so I
1:34:32 can go in here and I can take this
1:34:33 shitty sentence that it wrote and
1:34:36 replace it with the good one that it
1:34:38 wrote
1:34:39 earlier all right as AI shapes our world
1:34:42 individuals and industries move move
1:34:44 through a psychological and intellect
1:34:46 and
1:34:47 intellectual Journey psychological and
1:34:50 intellectual Journey akin to the five
1:34:53 stages of G only instead of mourning
1:34:56 we're grappling with the cognitive hyper
1:34:57 abundance AI
1:34:59 provides will
1:35:02 provide will
1:35:05 provide understanding these stages one
1:35:07 dismissal
1:35:09 denial um it's just another tech fad
1:35:12 nothing to see here at first AI is met
1:35:14 with skepticism or outright dismissal
1:35:16 many assume it's overhyped automation
1:35:18 it's a gimmick that won't live up to its
1:35:20 promises all this sound familiar there's
1:35:22 resistance to engaging with it seriously
1:35:24 either because of misinformation lack of
1:35:26 exposure or an assumption that it won't
1:35:28 affect them holy [ __ ] there is so much
1:35:31 of this going on right now oh sorry
1:35:34 ticktockers this sucks I don't have my
1:35:37 black bar
1:35:38 up have you used deep seek yet Kyle yeah
1:35:41 we we uh talked about it a night or two
1:35:43 ago um yeah I've used it it's pretty
1:35:46 good um Pate I see pate's here Pate I
1:35:50 actually were you here Pate the other
1:35:52 night when we did um I compared deep
1:35:55 seek reasoning Gemini flash thinking and
1:36:00 01 uh and
1:36:02 01 and I liked Gemini flash thinking
1:36:06 better than the other two I thought the
1:36:07 other two were boring um I thought
1:36:10 Gemini flesh thinking was really
1:36:13 good all right two a that o crap moment
1:36:18 a moment of Revelation occurs uh let's
1:36:21 say
1:36:24 um so I'm going to
1:36:26 say um find a way to work
1:36:35 in people having their
1:36:39 first
1:36:40 [Music]
1:36:43 Kevin
1:36:45 mallister
1:36:51 moment from Home Alone where he his
1:36:59 jaw drops
1:37:02 open as
1:37:05 that
1:37:08 palpable
1:37:11 um sudden
1:37:14 awareness that
1:37:17 generative
1:37:19 AI is way more powerful
1:37:24 than than you thought I know I could
1:37:27 talk that but whatever um so it's going
1:37:30 to go do its thinking on that now and
1:37:33 it'll rewrite that paragraph so again if
1:37:35 you haven't seen um canvas before it's
1:37:38 it's pretty
1:37:41 slick wait it can do
1:37:43 a stage two a that o crap moment or the
1:37:47 Kevin Kevin McAllister moment
1:37:50 maybe
1:37:52 um often triggered by unexpected
1:37:54 demonstration of ai's capabilities
1:37:56 whether it's generating images writing
1:37:57 code or analyzing vast amounts of data
1:37:59 in seconds this phrase is marked by
1:38:02 shock and excitement this phase is
1:38:05 marked by shock and excitement it's the
1:38:07 Kevin McAllister moment that
1:38:08 unmistakable jawdropping realization
1:38:11 that AI is far more powerful than
1:38:13 expected ai's potential shifts from
1:38:15 theoretical to tangible three wonder and
1:38:18 fear this is incredible and terrifying
1:38:21 Kelly Camp th this is you and I
1:38:25 very early on um Kelly camp and I were
1:38:28 we we talked a couple of times when we
1:38:30 were first getting our heads around this
1:38:32 stuff and I first started the channel
1:38:34 and we were both like this is amazing
1:38:36 and terrifying it's it's both right um
1:38:41 as understanding understanding deepens
1:38:43 the duality of ai's power becomes clear
1:38:46 it can unlock creativity and efficiency
1:38:48 it also raises deep concerns about
1:38:50 ethics displacement control okay four
1:38:54 augmentation Humanity Amplified this
1:38:57 isn't replacing me it's extending me
1:39:00 over time fear gives way this again goes
1:39:03 back to the question about why start
1:39:05 early over time you have to go through
1:39:08 these phases we've never had anything
1:39:12 like this before over time fear gives
1:39:14 way to practical integration a AI isn't
1:39:17 here to replace human Ingenuity it's
1:39:20 here to accelerate it the stage is
1:39:22 defined by leveraging AI to amplify
1:39:24 creativity productivity and problem
1:39:26 solving the focus shifts shifts from
1:39:29 what AI can do to what humans can do
1:39:33 with AI love that love
1:39:36 that five cognitive hyper abundance the
1:39:39 inflection point of possibility I am no
1:39:41 longer the bottleneck to my own
1:39:45 Ambitions the final stage of realization
1:39:48 AI moves from TR traditional constraints
1:39:51 time skills even knowledge allowing
1:39:53 ideas to manifest an unprecedented speed
1:39:56 the only remaining
1:39:58 limitation um is Imagination AI is no
1:40:01 longer seen as a tool but as a
1:40:02 collaborator in turning possibilities
1:40:05 into reality that's really good this is
1:40:06 where the transformation happens not
1:40:08 just in technology but in in the way
1:40:10 humans perceive its own potential
1:40:13 um let's see I W to I want to add
1:40:16 something here so let's say um I'll do
1:40:19 talkie
1:40:22 stuff I want to find a way to add
1:40:25 [Applause]
1:40:27 in the idea that just like the steam
1:40:33 engine made
1:40:35 humans super
1:40:38 strong AI is going to make them super
1:40:40 smart period I want
1:40:46 to introduce the idea that as new as
1:40:51 this
1:40:51 seems as a society we've been through it
1:40:55 before where machines augmented our
1:40:58 muscles in the industrial revolution and
1:41:03 now with AI machines are going to
1:41:06 augment our
1:41:11 [Music]
1:41:14 intellect all
1:41:19 right
1:41:21 this the final okay this is where the
1:41:24 translation happens not just in
1:41:26 technology but in the way human
1:41:28 perceives its own potential just as the
1:41:29 Ste steam engine Amplified human
1:41:31 strength and reshaped the industrial
1:41:33 World AI is poised to augment human
1:41:36 intelligence unlocking new levels of
1:41:38 creativity and problem solving this
1:41:40 isn't the first time Society has faced a
1:41:42 shift of this magnitude it's simply the
1:41:44 next evolution in how machines extend
1:41:47 our capabilities this is really good
1:41:48 we're GNA go put this on [ __ ]
1:41:50 LinkedIn we should also go make a oh
1:41:52 let's do it here shall we um okay let's
1:41:57 go over here let's close we're going to
1:42:01 close
1:42:02 this so now we're just back in a chat
1:42:04 we've we've got we've got our article
1:42:06 here
1:42:07 right and so now we're GNA
1:42:11 say great I love it um give me 10
1:42:18 ideas
1:42:20 for
1:42:22 visuals for a a
1:42:27 visual
1:42:30 visual that can
1:42:33 accompany this
1:42:37 article that will stop people in their
1:42:45 tracks
1:42:48 um and brings the ideas wait
1:42:54 brings the ideas to
1:42:57 life
1:42:59 okay the rise of the robots do you guys
1:43:03 get once AI is capable to do everything
1:43:06 humans can in robotics too we are no
1:43:09 longer necessary I don't agree with that
1:43:10 Edom I think our role
1:43:13 changes I think our role
1:43:16 changes wait so at what point this again
1:43:19 Edom on Tik Tok so at what point do you
1:43:21 think everything is going to be
1:43:23 automated by by by AI I don't know but I
1:43:26 think it's going to come a fuckload
1:43:27 faster than we think it is do you did
1:43:29 you see the thing yesterday do you know
1:43:32 that
1:43:33 Teslas are now coming off the assembly
1:43:36 line and driving themselves 1.2 miles to
1:43:40 the to the distribution parking
1:43:43 lots that's now being done without
1:43:46 trucks or without people the the the
1:43:48 Teslas come off the line and drive
1:43:51 themselves to their new home
1:43:54 it's
1:43:57 it the reason I can't answer it no one
1:43:59 can answer it we are we're entering an
1:44:02 exponential
1:44:04 acceleration where thing as humans we're
1:44:08 used to linear
1:44:10 change right we have time to adapt
1:44:14 because the change is happening at this
1:44:17 you know like Evolution right Evolution
1:44:20 happens over millions of years right
1:44:23 it's this steady
1:44:24 thing we're not in that right now we
1:44:27 were flat for the longest time 70 years
1:44:31 ago they created the first neural
1:44:33 network and then it did [ __ ] and then at
1:44:35 some point in the 90s it beat Gary
1:44:38 Casper off at chess and we're like oh
1:44:40 like went up a little bit we're like
1:44:42 okay great and and in fact one of the
1:44:44 things that people said when big blue
1:44:47 beat Gary caspero is no one will ever
1:44:49 watch chess again who's going to want to
1:44:52 watch Robots play chess again each other
1:44:54 guess what the the popularity of chess
1:44:57 chess has gone up
1:44:59 dramatically because we recognize how
1:45:02 remarkable it is that humans can do that
1:45:05 we don't give a [ __ ] that robots can do
1:45:07 that the role of humans gets Amplified
1:45:10 in certain areas I think authenticity
1:45:12 goes up I think human engagement goes up
1:45:15 like live performances live experiences
1:45:18 the value of that stuff all goes up as
1:45:20 these machines do all the other [ __ ] we
1:45:23 are all very tied into and locked into
1:45:26 what we do today is what we should do
1:45:30 always but if you actually analyze what
1:45:33 we do today a lot of what we do
1:45:37 today is be the [ __ ] Cog in the wheel
1:45:40 for the Industrial
1:45:44 Revolution it's just gotten
1:45:46 fancier but it's still us doing that
1:45:50 work that mindless
1:45:53 Soul crushing
1:45:56 repetitive same [ __ ] over and over
1:45:59 and over
1:46:00 again that's the kind of stuff that AI
1:46:03 is gonna
1:46:06 do what's our job then that's our big
1:46:10 challenge I think our job in the next 10
1:46:13 years is to figure out what our job
1:46:15 is but we don't go away we're [ __ ]
1:46:19 humans we're not going to stop
1:46:24 which is
1:46:25 not all right just like the Industrial
1:46:28 Revolution it will be new better humans
1:46:30 will adapt humans will adapt I
1:46:34 agree um this is really good Kyle all
1:46:37 right let's see what what uh what 10
1:46:40 visuals we have here Kevin McAllister
1:46:42 makes AI
1:46:44 wait
1:46:47 um but dude you're supposed to be
1:46:51 superhuman smart the article is about
1:46:54 the five stages of
1:46:57 AI acceptance or
1:46:59 adoption shouldn't the image have five
1:47:06 somethings period come on chat you can
1:47:10 do
1:47:11 [Laughter]
1:47:14 better see here this is our job when
1:47:17 your robot does something shitty you
1:47:19 tell it it did something
1:47:22 shitty the Five Doors of AI adoption
1:47:25 there you go
1:47:27 great first door is closed second door
1:47:29 is cracked open third door is open but
1:47:32 ominous fourth door show shows human
1:47:35 shaking hands with an AI entity the
1:47:38 fifth door is surreal Cosmic Landscape
1:47:40 that one's not bad five steps to the
1:47:43 Future the five faces of AI realization
1:47:47 o that's good
1:47:54 let's
1:47:56 see number three in a 16
1:48:02 by9 um wide
1:48:06 image how we doing on time oh we're late
1:48:08 this is you know when I when I do these
1:48:11 deep
1:48:12 Dives chat add is gets gets much
1:48:16 [Laughter]
1:48:19 worse wait make my image
1:48:23 [ __ ] all right evolver die Get
1:48:28 [Music]
1:48:29 Loud DQ Blizzard uh Valerie Cox this is
1:48:34 just the beginning Life as we know it
1:48:36 will be forever changed both good and
1:48:38 bad I
1:48:42 agree
1:48:44 um you should make the
1:48:48 image
1:48:50 with only five
1:48:56 stages so let's go let's go grab this
1:48:59 we're going to move over to another tool
1:49:09 now all
1:49:11 right oh that's a that's a good point
1:49:14 Brandon I want you guys to go check
1:49:16 something out so a lot of what I'm
1:49:18 talking about right now we're putting
1:49:21 into we we've cre created a course so we
1:49:24 did this thing over the holidays called
1:49:26 AI Festivus where we had 34 speakers
1:49:29 talking about Ai and one of the
1:49:30 remarkable things about what everyone
1:49:32 talked
1:49:33 about was that to a
1:49:36 person no one really talked about AI
1:49:39 tools they were all talking about how
1:49:42 they were thinking about Ai and how they
1:49:44 were processing Ai and and one of the
1:49:48 requests we got is can we turn that into
1:49:50 a training because
1:49:53 it
1:49:54 was what we assumed it would be would be
1:49:57 you know 24 hours of workshops where
1:50:00 people would learn how to use mid
1:50:02 journey and this and that and make
1:50:04 videos with Kelly Bosch and right and
1:50:07 there there was some Hands-On stuff but
1:50:09 every single person every single person
1:50:12 started with well here's who I am and
1:50:14 here's who I used to be and here's what
1:50:16 my Revelations have been and here's how
1:50:18 I'm thinking about my work now like
1:50:21 everyone was in this queer
1:50:24 and so are you ready for me do or are
1:50:26 you ready for ai.com we're putting
1:50:29 together this training it's going to
1:50:31 come out
1:50:32 mid-February and um it it's based on
1:50:35 kind of the the best themes that emerged
1:50:38 over AI Fest of us and so we we're we've
1:50:41 grouped um the videos that that were
1:50:45 presented in five different categories
1:50:48 and then you watch those videos and then
1:50:51 there's a whole training section and
1:50:53 it's it's not you're not learning things
1:50:55 that were in each individual video what
1:50:57 you're learning is what were the common
1:50:59 themes across them in these five
1:51:01 different sections it's like one's on
1:51:02 creativity one's on business one's on
1:51:05 ethics and things like that so go check
1:51:06 that out it's coming out mid-February um
1:51:09 it's it's GNA be really cool but anyway
1:51:11 that like the a lot of my
1:51:14 thinking has been coalescing around
1:51:18 insights that I had during AI
1:51:20 festivas because it was very unexpected
1:51:23 because last year it was very much about
1:51:24 the
1:51:25 tools
1:51:28 okay um so we're going to go to ideogram
1:51:31 so this again goes back to control so
1:51:33 ideogram is really good at
1:51:36 um idog id. a is an image generator it's
1:51:42 really good at doing
1:51:44 letters so I'm just going to paste in
1:51:47 what
1:51:56 so wait what are the
1:51:59 five
1:52:01 words the five words
1:52:11 are
1:52:15 dismissal give me the five stages
1:52:38 dismissal
1:52:41 a wonder and fear
1:53:01 augmentation
1:53:02 and we just call it hyper
1:53:09 abundance
1:53:12 okay so we're going to go back over to
1:53:14 ideogram we're going to say um
1:53:24 oh
1:53:34 no each face should
1:53:44 have one of these words
1:53:53 and then in quote marks one
1:53:57 dismissal two
1:54:00 awe three wonder and
1:54:04 fear four
1:54:06 augmentation five hyper
1:54:09 abundance put it in quotes and hope it
1:54:19 works Kevin terrified fear black bars
1:54:25 sorry all
1:54:27 right I I know I know I'm
1:54:31 not I I'm kind of in my own world right
1:54:33 now I just want to get this this image
1:54:35 done so if anyone has questions just you
1:54:38 know ping ping or pin
1:54:46 ideogram.svg
1:54:47 soon oh man travel safe buddy
1:54:53 all right let's go to my
1:55:00 Creations that's
1:55:06 close dismissal a wonder and
1:55:11 fear augmentations
1:55:14 [Laughter]
1:55:27 I don't like that it goes so
1:55:30 cyber although this one's kind of
1:55:35 cool look how janky the hands
1:55:37 [Laughter]
1:55:46 [Music]
1:55:48 are yeah these are not great are they
1:55:55 hyper
1:56:02 abundan all right that's not working
1:56:05 that's not working people damn it all
1:56:21 right yeah I don't like
1:56:33 [Music]
1:56:38 that the five stage roller coaster here
1:56:41 we go let's try this
1:56:54 how much will the training course cost I
1:56:56 think it is 297 bucks I think that's
1:57:00 what we landed on so just under 300
1:57:07 bucks can AI make a new model from
1:57:12 scratch which is better from now
1:57:16 emphasis on from scratch
1:57:20 um I think it it will be able to make
1:57:23 one from scratch but I think what you're
1:57:24 going to see is yeah those are horrible
1:57:27 I think what you're going to see is it
1:57:31 making um improvements on itself rather
1:57:34 than creating things from
1:57:36 scratch but AI is going to make AI
1:57:39 better like that is definitely the case
1:57:58 um make
1:58:00 [Music]
1:58:03 number I know this is
1:58:06 boring I just want a decent image for
1:58:09 for the LinkedIn post because I want I
1:58:10 want to put this on LinkedIn I feel like
1:58:12 this is an important
1:58:13 post and I'll I'll make an article on X
1:58:16 as well and I'll put it on the AI
1:58:19 Salon oh that's [ __ ] awful are you
1:58:21 kidding me
1:58:27 all right I'm not going to do this here
1:58:29 but here's what I will do for you all
1:58:32 because you're all swell and you sat
1:58:33 through me trying to make an image so
1:58:36 when you try to actually so there's a
1:58:37 difference between the
1:58:40 entertaining way that I make work in
1:58:42 here where I just make it Loosey Goosey
1:58:44 and when you're actually trying to do
1:58:45 something to solve a problem AI still
1:58:48 sucks at trying to solve a problem
1:58:51 easily
1:58:53 it's it's just hard but um five stages
1:58:57 of AI adoption let's copy that let's go
1:59:01 to the AI
1:59:02 Salon where do I want to put this I want
1:59:06 to put
1:59:08 this you know what we're gonna put this
1:59:11 in the [ __ ] welcome
1:59:14 page yeah we
1:59:16 are we'll deal with it Vicky we'll deal
1:59:19 with we'll deal with whether or not this
1:59:21 makes sense later
1:59:22 [Laughter]
1:59:30 yeah
1:59:38 bang There You Go all
1:59:42 right the journey to AI
1:59:45 Readiness and then the five stages of AI
1:59:48 adoption are now part of Boom the AI
1:59:52 Salon welcome Irregulars challenge for
1:59:54 the image oh that's a great idea okay
1:59:57 Irregulars I haven't done this in a
1:59:59 while so where I am right now what
2:00:01 you're looking at right
2:00:03 now oh my my Tik Tock game has been
2:00:06 really bad tonight I I apologize to the
2:00:08 Tik tokers the visuals have sucked so
2:00:10 hopefully you're all watching it on your
2:00:11 80-inch television on YouTube um here's
2:00:15 your challenge in the Irregulars channel
2:00:18 so if you're if you're new here to the
2:00:20 AI Salon how you get here if you haven't
2:00:23 joined yet shame on you if you haven't
2:00:27 joined yet go to that URL the salon. a
2:00:31 click on join our community and you'll
2:00:34 join this you'll see the five stages of
2:00:36 adoption right on the welcome
2:00:38 page the challenge for the Irregulars is
2:00:43 come up with an image for I mean we
2:00:46 could do an image for each of the five
2:00:48 if you want extra credit you can do that
2:00:51 but what I really need is an image like
2:00:53 a hero image for the article right so
2:00:56 the five stages of AI
2:00:58 adoption um and and by the way we do
2:01:02 have to change this let me edit this
2:01:04 again we have to change this is not the
2:01:07 O crap moment this is
2:01:10 the
2:01:14 um
2:01:18 your Kevin mallister moment
2:01:26 so a bonus would be to do a Kevin
2:01:28 mallister moment in the image as part of
2:01:31 it okay so so for the Irregulars for
2:01:34 anyone that wants to but but where
2:01:35 you're going to put them share them in
2:01:38 here I'll create a
2:01:39 post so I'm going to go into a
2:01:43 regulars and in share cool things I'm G
2:01:46 to say
2:01:48 put
2:01:50 your five stages
2:01:53 of AI what is it five stages of AI
2:01:57 adoption is it adoption
2:02:05 acceptance let's go with adoption for
2:02:08 now that that might need to change
2:02:12 AI um
2:02:16 adoption um
2:02:19 hero images here
2:02:24 all
2:02:26 right so there's a post just comment in
2:02:30 there that's kind of cool love that all
2:02:33 right I'm really
2:02:35 excited that thing's good welcome to the
2:02:37 salon we've got the journey to AI
2:02:40 Readiness is play first mindfully create
2:02:42 and generously lead and
2:02:45 then here this is so good because this
2:02:48 is this is what everyone's going to
2:02:50 [ __ ] go through
2:02:53 and what what you learn what you know I
2:02:55 talked about hyper adaptability before
2:02:57 what you learn is you go through these
2:02:59 Cycles again and again and again you're
2:03:02 like oh it couldn't possibly be that
2:03:04 good and then it's that good and you're
2:03:06 like oh Christ you have a Kevin
2:03:08 mallister moment then you have this
2:03:10 wonder and this
2:03:11 fear then you kind of accept it five
2:03:14 stages of AI
2:03:19 addiction adap adoption adaptation
2:03:23 acceptance I don't know adoption is good
2:03:26 for
2:03:29 now all right I'm gonna get out of here
2:03:32 so I hope you learned something we did
2:03:34 some video stuff tonight um we didn't go
2:03:37 turn our cling lady into a video maybe
2:03:39 we'll do that tomorrow I don't know what
2:03:40 we're going to do tomorrow yet let me
2:03:44 uh let me let you hear her crazy voice
2:03:47 one more time
2:03:51 [Music]
2:03:54 I'm a badass [ __ ] and I walk where I
2:03:57 want when I want and anyway I damn well
2:04:02 please we could have had could have had
2:04:05 a little more script there we had like
2:04:06 another three seconds I'm a bad ass
2:04:08 [ __ ] and I walk where I want when I
2:04:11 want and anyway I damn well please
2:04:14 pretty good all
2:04:18 right thank you for the live Kyle and
2:04:22 chat you're welcome um good night all
2:04:25 good night Silver Fox good night uh
2:04:27 YouTubers X I hope you had fun tonight
2:04:29 peace out um hope you learned something
2:04:32 and uh I will see you oh wait oh yeah
2:04:35 tomorrow's Thursday so we're here
2:04:37 tomorrow I haven't decided what we're
2:04:39 going to do tomorrow I'll think about it
2:04:41 tonight and then
2:04:43 uh yeah I think we've done all the
2:04:46 housekeeping we need to do thank you
2:04:48 Brandon thank you mods on Tik Tok thank
2:04:51 you mods on uh on YouTube and x uh for
2:04:54 for just keeping things relatively
2:04:59 Sane I'm bringing my laptop to AI rehab
2:05:02 exactly hi my name is Kyle I'm into AI
2:05:06 hi Kyle
2:05:11 exactly I'm I the five stages of grief I
2:05:14 don't know how we got to that
2:05:15 conversation but whoever asked the
2:05:17 question that kind of led us down that
2:05:20 path I'm
2:05:23 that's I'm I'm super excited about that
2:05:26 because it all it all of a sudden
2:05:29 everything makes sense to me about like
2:05:31 where people are and like how we can
2:05:34 kind of walk them down this
2:05:43 path you
2:05:47 know you're in the dismissal phase ah
2:05:50 it's just another fad nothing to see
2:05:52 here there's so much of this all the all
2:05:55 the sort of tropes that you
2:05:57 hear it can't be creative saying yeah he
2:06:00 makes mistakes
2:06:03 and and then when you actually try it
2:06:07 you need to try it until you have that
2:06:09 moment and then once you have that
2:06:10 moment then you're like in this weird
2:06:13 [ __ ] wonder and Fear Place of like
2:06:16 what is going to
2:06:17 happen and then you realize it's not
2:06:20 about replacing me it's about extending
2:06:22 me I love that and then you know we're
2:06:24 nowhere we're we're nowhere near number
2:06:27 five
2:06:29 yet from a technology standpoint but we
2:06:32 will
2:06:33 be so cool all right so figure out where
2:06:36 you are on the journey man and hop on
2:06:39 and it's a good thing you're here early
2:06:41 because you're gonna have a big [ __ ]
2:06:43 Advantage here's a brain [ __ ] of a
2:06:45 question do you think humans will
2:06:48 mistake nonlinear thinking with
2:06:51 creativity the machines can comprehend
2:06:54 Dimensions we
2:06:56 can't
2:06:59 well it's a it's a really interesting
2:07:07 question I mean you could argue that
2:07:10 creativity is nonlinear thinking right
2:07:13 you could argue that creativity is you
2:07:15 take you know multiple mental Pathways
2:07:18 and you kind of cross the beams like in
2:07:21 Ghostbusters you
2:07:22 know
2:07:25 um I I think that I think that
2:07:28 scientists for a lot of years a lot of
2:07:31 years are going
2:07:34 to find ways to describe how
2:07:38 we interact with the machines I don't
2:07:41 think most people are going to think on
2:07:42 that level most people are just going to
2:07:45 be like oh it's it's empathetic right it
2:07:48 cares for me it's compassionate it's
2:07:51 creative
2:07:52 it helped me be more creative like I
2:07:54 think most humans are just going to
2:07:56 accept it for how how it makes them feel
2:07:59 rather than what's going on technically
2:08:01 I think the scientists are going to live
2:08:03 in defining it technically does it
2:08:06 really feel does it really have
2:08:07 Consciousness and my point is does it
2:08:09 really [ __ ] matter like isn't it more
2:08:11 about how it impacts the people so I
2:08:13 don't know Raj was the inspiration thank
2:08:16 you Raj really good question okay um
2:08:20 beautiful
2:08:23 all right peace out YouTube and X I'll
2:08:25 see you next
2:08:26 time and uh well I'll see you tomorrow