10/16/2024 - Saving the AI Industry from Itself: Swarms, Orbs & Other Naming Disasters

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Chapters

Transcript

0:02 [Music]
0:10 [Music]
0:18 [Music]
0:22 [ __ ] wait hang on
0:29 [Music]
0:34 [Music]
0:54 wo w
1:02 [Music]
1:28 w w
1:32 [Music]
1:37 really breaks my
1:39 heart see dear old
1:42 friend down to that out place
1:47 again do you know the
1:50 sound of a closing
1:53 door have you heard that sound somewhere
1:57 before
1:58 [Music]
2:00 do you wonder if she knows you
2:04 [Music]
2:22 any you can something in a hurricane
2:27 [Music]
2:31 only if you're standing
2:34 [Music]
2:41 in good evening good people of the Tik
2:44 Tock second live stream tonight looks
2:48 like we got some new people in here
2:50 welcome welcome welcome my name is Kyle
2:52 Shannon the the dog on lead vocals his
2:55 name is Champ
3:03 just to set expectations Champ's never
3:05 really been a champion of
3:07 anything he is at best the recipient of
3:11 a part participation
3:13 [Music]
3:25 certificate oh champ is a fine fine dog
3:30 [Music]
3:46 Town yeah wonder when things are going
3:49 to
3:52 change dream mys
4:02 get my nerve up but my past is pulling
4:06 me
4:07 [Music]
4:09 down wonder how
4:11 [Music]
4:12 long black
4:14 she
4:16 [Music]
4:20 around somebody told me once before he
4:23 said you can never go home
4:26 again won you
4:28 leave s things to Ste me away yeah from
4:34 the truth of who I am and what I
4:37 believe so I thanked him for his two
4:39 cents with a
4:41 handshake and some sympathy yeah backed
4:46 up my blue
4:47 jeans and headed for this big
4:52 price of my
4:54 [Applause]
4:57 freom black sheep
5:00 to the black sheep of the
5:04 [Music]
5:08 family oh that means so very much to
5:12 me
5:14 byebye bless she to my friends and my
5:20 [Music]
5:23 family going set my
5:28 soul set it free
5:30 [Music]
5:34 so it may seem Charming to have a
5:37 singing dog oh and it is it's
5:40 fantastic but you ever thought about me
5:44 you ever thought maybe just Kyle just
5:46 wants to sing a song once without
5:49 accompaniment loud howling screeching
5:53 semi untune
5:55 accompaniment no you just want the dog
5:58 yeah I figured
6:03 [Music]
6:19 10,000 words swarm around my head 10
6:23 million more in books written beneath my
6:26 bed
6:31 and I wrote or R them all when searching
6:34 in the swamps still can't find how to
6:37 hold my
6:37 [Music]
6:41 hands and I know you need me in the over
6:46 I am stuck in here all
6:49 [Music]
6:52 paralyzed for months I got myself in R
6:56 too much time spending mirrors framed in
6:59 yellow wall
7:00 [Music]
7:05 it it a it like people I'm no different
7:10 like talk on things we don't know
7:20 [Music]
7:22 [Applause]
7:24 [Music]
7:26 [Laughter]
7:28 about that's that dog Source Camp
7:31 recognizes the how welcome welcome
7:34 welcome
7:37 everybody glad to have you here tonight
7:40 we're going to talk about
7:42 [Laughter]
7:51 stuff my cat was almost
7:54 asleep yeah champ was a little
7:56 rambunctious tonight wasn't
7:58 he he's been on it Kyle you're my hero
8:02 thank you Mr
8:03 [Laughter]
8:03 [Music]
8:06 it certainly not your dog training hero
8:10 I learned very early in life that I'm
8:12 always going to have poorly behaved dogs
8:14 because when you have poorly behave dogs
8:16 it's not the dog's fault
8:21 [Music]
8:50 [Applause]
8:52 see in order to have well- behaved dogs
8:55 you have to have this is a technical
8:58 term what are called
9:01 boundaries this is
9:04 where my family and
9:09 dogs have uh We've made an executive
9:13 decision that the dogs will walk all
9:15 over us
9:18 [Music]
9:29 [Applause]
9:32 [Music]
9:36 all right I really want to purchase a
9:39 chat GPT and create wait I really want
9:42 to purchase chat GPT and create an
9:47 assistant you mean an
9:51 agent you could you could probably
9:53 create
9:55 a can't you create custom gpts without a
9:59 subscri sction or maybe you need a
10:00 subscription I think you need a need a
10:02 subscription to make them you mean a
10:04 custom
10:12 GPT Brandon custom GPT is paid
10:17 only you can go to PO you can make a
10:19 poot po.com poe.com and you can use uh
10:25 open AI models oh no you can't use open
10:27 AI models the good ones unless you're
10:30 paid there but you can make chat Bots at
10:33 po so if you mean by assist by assistant
10:36 you mean chatbot you can do that at PO
10:37 for
10:38 free I just want to create my AI
10:42 assistant I don't know what that means
10:44 though you mean like one that takes take
10:46 a takes action on your behalf the tools
10:48 aren't really there for that open AI
10:50 just released swarms which is some sort
10:53 of a gentic something or other I haven't
10:55 looked deeply enough into it yet to know
10:57 what that is but I would say give
11:00 3 to 6 months and it'll be relatively
11:03 trivial to create an assistant is my is
11:05 my guess right now it's still requires
11:08 development if you're a developer you
11:09 could probably do one right
11:13 now Brent Peterson is doing a lot of
11:15 that stuff right now but that's all
11:17 that's all with
11:18 coding you should all go to GPT and ask
11:21 what's
11:22 something about me you may not know if
11:25 you have memory turned on in chat GPT
11:27 you can ask it that question
11:30 tell me something about me I may not
11:32 know it does a pretty good
11:36 job but your memory has to be turned on
11:38 enabled
11:44 [Music]
12:04 Kyle 10,000 likes before before 10
12:06 minutes wow you guys are
12:08 [Music]
12:10 nuts girl you're
12:14 looking found
12:19 tonight never fellas got you in here
12:26 sides what you do it with a cloud like
12:31 [Music]
12:33 me sure one of life's
12:37 little
12:39 mystery so
12:41 tonight I'll
12:44 ask the stars
12:49 above how did I ever win your
12:56 love what did I do
12:59 [Music]
13:02 what did I
13:04 say to turn your angel
13:08 ass my
13:14 way I'm the guy that never learned
13:22 dance never even wait never
13:27 even got one
13:30 Second
13:32 Glance cross a crowded room that was
13:36 close
13:40 enough I could look but I
13:43 could never
13:45 touch that's a beautiful song that is a
13:48 beautiful song not the way I sung it but
13:50 you
13:51 know well John hayatt Little John Hyatt
13:54 in the
13:55 house all right let's do what we got to
13:58 do with the hair let's get that let's
14:00 get that straightened
14:01 out you like the Qua we can we sell
14:05 these we sell these on the Tik Tock shop
14:07 along with Madagascar vanilla and uh
14:11 countertop nugget ice makers by the way
14:14 the eyebrow trimming kit comes with the
14:17 quaf this the quaf it's just it's like
14:20 the double-sided tape you put you know
14:23 when you put like the phone holder on
14:24 your dashboard that sticky tape that's
14:26 what goes underneath the uh the
14:29 quadruple to
14:30 pay and then you get the uh the eyebrow
14:34 extension kit these are not like I don't
14:37 I wouldn't have eyebrows this bushy I I
14:39 actually these are this is a
14:42 weave
14:44 so you just like this kind of beauty it
14:47 doesn't grow on trees people this is
14:49 manufactured this is a whole
14:55 situation what
15:00 oh this is the AI
15:02 Channel I thought this was the men the
15:04 manscaping this is not the manscaping
15:07 Channel okay all right um sorry about
15:10 that sorry about that I I thought my
15:13 assistant Marge
15:16 um she she spun I don't know how to use
15:19 Tik Tok and she um she spun up the
15:22 different you if you're into manscaping
15:26 I there's a whole I do a whole um you
15:28 know how to look responsible in a manini
15:31 I've got a workshop on that so check
15:33 that out on my other
15:45 channel I've got the manscaping Channel
15:47 I've got the uh old man ASMR
15:51 Channel you know sounds like that it's
15:54 nice uh I'll do snoring I do I do uh
15:57 realistic snoring
16:00 um clearing my throat of course is a
16:02 classic that's a favorite that's a fan
16:09 favorite
16:11 uhhuh uhhuh
16:14 uhhuh all right what do you want to talk
16:16 about we lost most of the
16:19 audience tick Tik Tock Tik Tock had 130
16:23 people in here and they're all like oh
16:24 my God they ran out so it's back to us
16:29 so we can do whatever you
16:31 want old man
16:33 ASMR Robert Rossy liked that
16:38 one Jason wanted to know how to bring
16:41 multiple digital twins into one
16:43 conversation okay there's two ways to do
16:46 that we can talk about that so I was on
16:48 a I was on Ann Murphy has a podcast
16:51 called the
16:53 empowered fundraiser
16:56 show I am not a
17:00 fundraiser nor am I empowered but she
17:03 had a laps in judgment and had me on her
17:06 show um and we had a really good talk
17:08 good talk today she wanted me to talk
17:10 about digital Twins and we talked about
17:12 all sorts of stuff what's going on with
17:14 AI what's what you know what are these
17:16 es and flows how do you how do you deal
17:19 with this [ __ ] we talked a lot about
17:21 that and then we talked a little bit
17:22 about digital
17:24 Twins and so to catch up on digital
17:27 twins if you don't know that term
17:30 the history of it is is really from the
17:32 digital simulation world like a digital
17:34 twin you might have a digital twin of a
17:37 I don't know of a control panel for you
17:40 know a nuclear power plant and you've
17:42 got all the dials and you can turn them
17:43 and it simulates it's a digital twin of
17:47 what you would do if you were in the in
17:49 the control center
17:51 um and you can also make them of people
17:55 and there's there's kind of an infinite
17:57 number of ways to do that but a way that
17:59 that I stumbled upon with with a group
18:02 that I work with called content
18:04 Evolution was we basically start with a
18:09 structured interview so we have chat GPT
18:12 help us come up with an interview like
18:14 if I were going to inter interview
18:16 someone to really understand who they
18:17 were and you know what their background
18:19 is and what they've done professionally
18:21 and what they've done personally and um
18:24 you know how they solve problems and how
18:26 they face adversity all that chat GPT
18:29 will come up with the questions for you
18:30 it's really quite good at it and then
18:32 what we discovered
18:34 is um if you type out the answers to
18:37 that question set the digital twins suck
18:41 they don't they're not very good
18:43 but if you record someone ideally you
18:48 have someone else do the interview on
18:50 video and then take the transcript of
18:53 that you could also do it in audio the
18:54 reason we did it in video is because we
18:57 figure at some point we'll be able to
18:58 take the video
19:00 and use that as the basis for a visual
19:03 digital twin this is so this is just a
19:04 GPT digital twin but you record someone
19:08 answering the questions as if they're
19:10 talking you know like words to another
19:16 person the digital twins get really good
19:19 they get really powerful and they they
19:21 kind of they tend to talk like The
19:22 person talks and um they're they're
19:25 pretty good and then what I talked about
19:28 is we take those into individual digital
19:30 Twins and we put them together into a
19:33 master digital twin that was like a
19:35 little community of digital twins that
19:36 you could then interact with it's pretty
19:38 slick and so the question is can we can
19:41 we do that tonight there's a couple of
19:42 ways to do it so I will I will walk you
19:45 through
19:46 that beauty beauty beauty does anyone
19:50 have their pink Banner popping up on
19:53 their screen for a universe make it stop
19:56 oh does anyone else have that pink
19:58 Banner
20:00 I don't have any pink
20:04 banners it's is it Tik Tok just
20:06 marketing [ __ ] hello regulars from Becky
20:10 Rue what's happening
20:14 [Music]
20:15 Becky I need to make cartoon
20:19 animals violence like cats eating a
20:24 mouse uh
20:29 I don't
20:31 know I wonder if I still have access to
20:34 Halo or whatever the hell it's called is
20:37 this
20:39 it continuous
20:42 Kyle
20:45 reload
20:48 explore where's my oh
20:52 mine oh I did some videos today hang on
20:55 look at
20:56 this so this is this Halo
21:03 that's pretty damn
21:07 good look at that rack
21:10 Focus you start out with the candle and
21:12 focus and the background blurry and then
21:15 watch
21:16 this that's like real damn
21:19 cinematography by the way how I did
21:21 these the The Prompt for these I went to
21:24 chat GPT and I said write me 20 prompts
21:27 for for a single shot in a movie and
21:30 give it
21:31 um like uh like describe the style that
21:36 you wanted in as well as the the details
21:38 of
21:41 it this prompt was Whispers In The
21:45 Mirror wa let's see let's see how good
21:47 her face is does that still look like
21:50 her it's not
21:53 bad looks a little different but
21:56 passable
22:02 fishe lens close-up shots a person
22:05 stares into a fogged up bathroom mirror
22:08 the camera tight on their trembling face
22:11 as the fog clears their reflection
22:13 begins to emerge it didn't quite do the
22:15 prompt it's not
22:18 bad what's this
22:24 one that's
22:28 trippy that's pretty trippy her little
22:30 head movement there is weird keyboard
22:33 cover please yes ma'am ma'am yes ma'am
22:36 Amelia's wife is the uh she is the
22:39 community glare representative she's
22:42 trying to prevent glare for all
22:44 community members of the AI learning
22:46 lab she's doing her job quite well look
22:50 at her little head kick
22:54 KCK Kyle I just sent you a rose that's
22:57 one cent I'd like for you to acknowledge
22:59 this please thank you Becky thank you
23:01 for the
23:04 Becky that's very nice I do appreciate
23:07 that every every penny
23:10 counts
23:12 um so let's see let's see I think I
23:14 still have access to this so you get if
23:17 you sign up for this by the way this is
23:19 h h a i
23:21 l uo
23:25 Halo aiide
23:29 and if you sign up you get 3 days for
23:31 free this is in my opinion and in Brent
23:35 Brent Peterson's
23:37 opinion
23:39 um closer to sunno well sunno never
23:43 launched right sunno from open AI that
23:45 they demonstrated you know where they
23:46 talked to be about it being like a world
23:48 simulation model uh if not they did um
23:53 but then we never got to play with it
23:55 this thing seems like that where it's
23:57 really good at panning around a space
24:00 without the all the buildings or people
24:03 around the main subject
24:05 distorting okay so we're going to
24:09 do
24:15 cartoon inside a house
24:20 where a cat catches a mouse and bites
24:23 its head off
24:35 we'll
24:38 see all right we'll see if it's going to
24:41 [Laughter]
24:44 render that was that was that was a you
24:48 know was a graphic description one job
24:51 in
24:52 Q let me go over to my chat GPT I'll
24:55 I'll grab some more of these yeah so
24:57 here's
24:59 the robbery of the stubborn
25:09 [Applause]
25:12 door this is Charlie Chaplain
25:19 es the balloon
25:24 negotiation wait let me move where am I
25:28 move this tab over next to my movie Tab
25:31 and then I won't be so
25:39 lost the pasta perfectionist the
25:42 unhelpful map that sounds
25:45 good all right
25:55 copy all right there's some movies being
25:57 made all right right I need to go work
26:00 for open AI to bug Sam and tell him I
26:02 want my AI agents now I know Jason hey
26:05 do me a favor when you get a job the
26:07 first thing I want you to ask for when
26:08 you get to Sam's office is the ability
26:11 to search our prompt history it's been
26:13 two years
26:22 Sam I was wrong Banner at
26:24 top all right I suppose you all are
26:27 speaking to yourself now Runway is
26:30 really good
26:34 yep Dora
26:40 daora Kyle can this be the first tick
26:43 tocker with a vanta black chat
26:45 background that would actually be nice
26:47 if anybody wants to buy me a vanta black
26:50 uh thing of paint I'll spray paint the
26:53 uh I'll spray paint my my paper here
26:56 with vanta black so just s send me a uh
27:01 I assume that those bottles of what's it
27:04 called it's called Uh like
27:06 V3 V3 vanta black spray paint I assume
27:10 it's like 30
27:12 bucks but if someone wants to send me
27:14 some I I'll make a keyboard cover out of
27:17 vanta black I could also get like actual
27:20 black you know Fabric or velvet or
27:23 something but you know that would be
27:25 like actual production values and we we
27:27 don't want those around
27:32 Here If You Could Only See My Little My
27:36 my duct taped uh phone holder that the
27:40 duct tape failed and I put clear tape on
27:43 it packing
27:45 tape so I can I can give you if you want
27:47 some ASMR of my my phone mount here you
27:52 go oh yeah oh
27:56 M oh yeah you're like that tape
28:00 [Laughter]
28:04 M what is this channel what is he
28:08 doing oh it it ate one of the
28:13 uh it ate one of
28:16 the I don't think it did the mouse
28:20 thing the the mouse thing just
28:22 disappeared there were four videos
28:24 Runing now there's only three I think it
28:26 ate the I think it was too violent it
28:28 went
28:29 away
28:31 sorry that's pretty funny and these are
28:34 just in a in a queue um okay let's go
28:36 over to chat GPT for a second
28:50 so okay there's AI futures
29:09 okay let me flip over I'm going to flip
29:11 over to my
29:14 team team
29:18 account and I should have okay yeah here
29:20 we go
29:26 okay you got access this the canvas yeah
29:31 okay
29:33 um so if I want to go to my digital
29:36 twins so here's my digital
29:38 twin C profile Kyle Shannon and if you
29:41 want to go play with this you can go to
29:42 the the GPT Store and search for this
29:46 and so I can say
29:49 um find a recent news story about Sam
29:56 Altman
30:00 and tell me what you
30:05 think of that
30:12 article all right so it says searching
30:14 my
30:15 knowledge it should searching the
30:20 web searching Sam okay recently Sam
30:23 Alman returned as CEO of open AI that
30:27 okay wait
30:32 that's a very old story
30:35 plea very old Story please search the
30:39 internet and find something from this
30:41 past
30:46 week searching the web
31:07 I don't know why it's taking so long to
31:09 search the
31:11 web we're so used to everything being
31:14 done in a second we're spoiled we're
31:21 spoiled what do you mean it wasn't done
31:23 in 1.2 seconds this is
31:26 ridiculous let me restart hang on hold
31:28 on people search board search stopped oh
31:32 try
31:38 [Laughter]
31:42 again searching the
31:45 web all right searching for Sam mman
31:48 2024 news this week Sam alman's nuclear
31:51 energy company Okio okay this I haven't
31:53 heard from okay great this week samman's
31:57 nuclear energy energy coming okay uh
32:00 refecting okay
32:02 um
32:04 uh do you
32:08 think this is
32:10 significant and
32:12 why okay so I am in theory asking
32:18 myself have you been the in have you
32:21 seen the instruction set for search it's
32:23 pretty limited I have not
32:28 yes this development is quite
32:30 significant as the tech industry
32:31 particularly companies like Google
32:33 increasingly relies on AI their energy
32:35 needs are skyrocketing nuclear power
32:37 particularly those small modular react
32:40 reactors smrs offers a clean reliable
32:43 source of energy Sam alman's involvement
32:46 in OKO OKO or Okio OKO um a leading SMR
32:51 company places him at the Forefront of
32:53 the shift it not only reinforces nuclear
32:56 pow's
32:57 role um all right I guess that's what I
32:59 would say
33:01 um uh
33:03 what does this
33:07 have to do
33:10 with daytoday AI for regular
33:23 people for most people the shift will
33:26 not directly impact their life however
33:29 it's significant for future as AI tools
33:31 like chat GPT become more widespread
33:33 Tech infrastructure requires energy all
33:36 right so I'm going to so a way you can
33:40 do this so I'm in my Kyle Shannon
33:42 digital twin I can now call up so if I
33:44 hit the at Key I can pull up other gpts
33:49 so I've got
33:52 Andrea uh let's see
33:55 at Andrea
33:59 oh she's not coming up for some reason
34:01 that's
34:02 weird
34:03 at let's see at
34:06 CE okay so here's some here's some CE
34:09 profiles so here's Andrea Andrea
34:12 Goldberg and so I'm going to say um what
34:16 do you think of this
34:22 article and then she's going to give me
34:24 her
34:27 opinion the recent
34:29 article uh uh
34:32 uh let's see the development also un
34:35 scores the
34:36 trend
34:38 um and then I can also go wait something
34:42 went wrong the issue persists please
34:43 contact Our Help Center all right
34:45 whatever um
34:48 at and then I'm going to go grab let's
34:51 see we'll go
34:56 atce come on at
35:00 CE let's see here's Mike Maguire Mike
35:03 Maguire used to be a Gartner analyst um
35:06 do you agree with
35:11 Kyle and
35:16 Andrea explain your
35:20 reason for each
35:32 M both Kyle and Andrea offer insightful
35:35 perspectives Kyle's perspective he
35:37 highlights this so so I've got like
35:41 these three people now interacting with
35:43 one another so one way to do this is
35:45 just ad hoc you've got access to
35:46 different digital Twins and then with
35:49 the at symbol you can call them into a
35:51 chat that's one way to do it the other
35:53 way we did it so again just to explain
35:57 what a digital twin
35:59 is we created a a structured
36:03 questionnaire that the person that we
36:05 making the digital twin of answered and
36:07 and so it was like educational
36:10 background business background you know
36:12 family
36:13 background I think we had some health
36:15 stuff in there we had how do you solve
36:17 problem stuff in there we had cultural
36:19 stuff like you know what's a piece of
36:21 art that made a difference in your life
36:23 who's a person that made a difference in
36:24 your life and what did they do things
36:26 like that so it's a whole bunch of
36:29 questions and how we created that is we
36:31 went to chat jpt and we said help us
36:34 craft a structured set of questions that
36:37 when someone answers them it will reveal
36:40 who they are essentially right their
36:42 worldview things like that and then we
36:45 edited those
36:47 but like what I what I learned is rather
36:49 than just giving you that set of
36:50 questions just know that that's the the
36:53 thing because you can do different sets
36:55 of questions for different scenarios
36:58 so learn to do the learn to do the thing
37:02 um so we made all these individual gpts
37:05 but then we wanted to put them into one
37:07 master GPT now one of the constraints of
37:11 custom gpts is that you can only upload
37:14 20
37:15 files to zero so at the point at which
37:19 we exceeded 20 people we couldn't do it
37:23 anymore like we couldn't add any more
37:25 people cuz we basically took a
37:27 transcript from each person and put them
37:30 into the GPT and once we hit 20 we were
37:33 done so what we did was we created a
37:36 Google spreadsheet that had all their
37:39 metadata like their you know website
37:42 their LinkedIn profile their phone
37:43 number their email all that stuff and
37:46 then a field for their entire transcript
37:49 so we made a single CSV file
37:52 effectively that is the source of Truth
37:55 for all of the different members of
37:57 content of ution I think we're up to 28
37:59 now or 30 and so we so that that CSV
38:03 then
38:04 becomes the knowledge for that larger
38:09 GPT um and it's really cool because you
38:12 can go in and you can just say you know
38:14 write an article from content Evolution
38:17 and it basically writes it from the
38:19 point of view of these 30 people and
38:21 then it identifies which are the three
38:24 that are most qualified to comment on
38:27 this AR article and then it produces
38:30 quotes from the three most relevant
38:32 people pretty slick so I don't know if
38:35 that answers your question I mean I know
38:36 that answers your question but it I feel
38:39 like it was a shitty answer so anyway
38:42 have you seen the instruction set for
38:44 search pretty limited
38:46 okay of course the answer is Excel yeah
38:49 I mean you know until further not I mean
38:52 quite honestly um daily crunch the we
38:55 wouldn't need to
38:58 like chat GPT is so good at at eating
39:02 and digesting unstructured data that we
39:05 could have just pasted all that [ __ ]
39:07 into a Word document that's we had all
39:09 the metadata for these things in a Word
39:11 document the problem was it made it
39:13 really hard to edit so we just threw it
39:16 into an Excel sheet and now it's in
39:18 there
39:20 so um this would make a great video Yeah
39:26 it that feels like
39:30 work I don't see here's the thing with
39:33 ADHD once you build [ __ ] like making a
39:36 video of it it's like H but I already
39:38 built it now I don't want to make a
39:40 video of it I'm whiny I've got
39:44 diverticulitis we're dug and Wendy
39:47 Wier um I'd love it if I could put the
39:50 clip of that description into the salon
39:54 you can do that as soon as I do this
40:00 whatever do this means um as soon as I
40:05 post this up to YouTube feel free to
40:07 grab it so just today's the October 16th
40:11 so just note down October 16th and as
40:13 soon as you see October 16th up on the
40:17 um up on the YouTube channel you can
40:19 feel free to go grab it and chop it up
40:20 if you want
40:24 um I'm I'm like two weeks behind right
40:27 now on that
40:28 so but I will do that for
40:34 you oh there's also it's possible some
40:36 people are recording this right now cuz
40:38 I know tck will sometimes record these
40:40 things and and he'll um he'll wait till
40:44 I put on a pink bow and then he'll just
40:46 take the recording of me looking like an
40:48 idiot and he puts that out on the
40:50 internet so so you can do that too if
40:52 you want reach reach out to one of the
40:55 Irregulars that is uh pirating my
40:57 content for for entertainment
41:01 [Laughter]
41:10 value all right let's
41:13 see Brandon gave me a very nice list of
41:16 [ __ ] that we could talk about let's go
41:19 through it shall we can you talk about
41:21 the
41:23 questions in the interview yeah so so
41:26 here let's just go we we'll go make a
41:29 set of
41:31 questions because it's it sounds more it
41:35 sounds more um complicated than it
41:39 is
41:41 because if if you've not written like
41:45 you know surveys and questionnaires and
41:49 and you know things like that then this
41:51 can be really intimidating but
41:53 here's here's the good
41:55 news we now live in a a world where you
41:58 don't need to know [ __ ] anymore you
42:00 don't need to be an anthropologist or a
42:02 sociologist or a [ __ ] I don't know
42:06 Survey Monkey PhD holder um you can just
42:11 go to chat GPT and ask it [ __ ] so here's
42:13 what we're going to do
42:19 okay I'm creating a digital twin based
42:24 on the transcript of an interview
42:31 where the questions are structured and
42:35 designed to
42:39 capture as much about the person being
42:42 interviewed as
42:45 possible I want to
42:52 capture educational background
42:54 professional background
42:58 how the person solves problems the world
43:01 viiew things that might have inspired
43:03 them how
43:06 they react to adversity how they react
43:09 to
43:10 success and any other thing that you
43:13 think might be relevant period group the
43:17 questions in categories to make them
43:19 easier
43:20 to
43:23 manage and sort them in order that
43:30 make most intuitive sense for the
43:32 interviewee to answer for example start
43:35 with
43:36 name and location Etc
43:48 period memory updated here's a structure
43:50 okay personal information and background
43:52 what's your full name where you
43:53 currently
43:54 located um
43:57 where' you grow up can you briefly
43:59 describe your family background
44:00 educational background professional
44:02 background problem solving and
44:04 decision-making how do you typically
44:05 approach uh solving problems whether
44:07 professional or personal uh okay so
44:11 let's let's let these keep
44:24 going okay these questions are fine but
44:26 they're okay these questions are fine
44:29 but they're a little predictable and
44:31 generic period I want you to act like a
44:35 master survey
44:37 writer comma and cultural
44:40 anthropologists and I want you to
44:43 ask significantly more interesting and
44:47 revealing questions for
44:50 example include a question about a piece
44:53 of art that changed someone's life and
44:56 questions
45:01 with a similar creative approach period
45:04 the idea here is that by answering these
45:07 questions we'll get as full a picture as
45:10 possible of who this person
45:14 is the other reason we did this like
45:18 this was we we wanted to be able to we
45:21 wanted to be able to ask all of the
45:23 people we made digital twins for the
45:25 same set of questions
45:27 we
45:28 wanted it to capture you know kind of
45:31 the essence of who they were like not
45:33 put as much emphasis on here's the [ __ ]
45:36 I did in my life put more emphasis on
45:39 like who are they so let's see if your
45:41 life were a novel what would the opening
45:42 scene look like that's good who or what
45:45 shaped you to see the way the world
45:47 before you were even aware of it can you
45:49 think of a moment in your childhood
45:51 looking back that feels like a defining
45:53 moment in who you became as an adult
45:55 like those are three really good
45:56 questions
45:58 right and so so this is this is how we
46:00 did it and now there's way too many
46:02 right there's there's 12 sections of
46:04 three questions each that's 36 questions
46:07 so let's go okay these are much better
46:10 but right now you have 12 sections with
46:13 three questions each why don't we reduce
46:16 this
46:19 to seven sections with three questions
46:22 each
46:30 Kylie wants you to put your convo in the
46:33 salon
46:35 please what do you mean my cono you mean
46:38 the the
46:40 uh the transcript of
46:43 my of my digital twin I I I don't I
46:47 don't want to do it because the the
46:49 specific question set we did for Content
46:51 evolution is proprietary to content
46:53 Evolution there's there's too many other
46:55 people involved but this is exactly how
46:56 we did it
47:02 so um sorry for being away been dealing
47:05 with medical issues oh I'm sorry jay
47:07 Hamilton but welcome back I hope you're
47:09 I hope you're healing well or dealing
47:11 well whatever the case may be I'd be
47:13 curious what Claude Opus would come up
47:15 with exactly listen that's the thing
47:18 with all these things um you know go oh
47:20 you know what might be interesting is to
47:22 have 01 do
47:24 it all right so now we've got 21
47:26 Questions so here's your 20 questions
47:28 right education and was there a class or
47:31 subject in school that felt like a
47:33 revelation to you something that made
47:35 you see the world in a completely
47:36 different way like that's a good one for
47:38 me it was Theater history of all things
47:41 and not because I love Theater history I
47:42 [ __ ] hated history but I had a
47:44 teacher that totally [ __ ] brought it
47:46 to
47:47 life what skill or piece of knowledge
47:50 you've taught yourself outside of formal
47:53 education that you now consider crucial
47:55 to who you are these are great
47:58 questions they're great questions and
48:01 and you know like why does it write such
48:02 great great questions because all of the
48:06 structured interviews that have ever
48:08 been put on the Internet by all of the
48:10 people that got phds and writing these
48:12 kind of questions they're all in the
48:14 [ __ ] llm they're all just in
48:18 there so if you can basically tell it
48:22 make me good [ __ ] it will make you good
48:24 [ __ ] now I'll show you another cool
48:26 thing so I'm in GPT 40 right so this
48:29 list now is not editable and I'm like oh
48:31 I want to edit that or I want to edit
48:32 that I can now flip over to gp4 with
48:36 canvas if you don't know what this is
48:38 it's going to make an editable thing so
48:39 I'm going to say do me a favor
48:43 canvas if you don't know what this is
48:45 it's going to make an editable thing so
48:46 I'm going to say do me a favor with
48:50 canvas if you don't know what this is
48:52 it's going to make an editable thing so
48:53 I'm going to say do me a favor with
48:56 canvas
48:58 if you don't know what this is it's
48:59 going to make an editable thing so I'm
49:00 going to say do me a favor
49:22 and sorry I just got an Amber Alert
49:27 um okay do me a favor and pop this do me
49:33 a favor and pop this list of questions
49:35 into the
49:41 canvas and so now my set of questions is
49:45 editable and so I can go in and I could
49:47 say let's
49:52 see let's grab this
49:55 section and then I say ask GPT I'm going
49:58 to
49:59 say
50:01 um this section is currently
50:04 missing this section is currently
50:08 missing basic information
50:12 like name
50:17 profession Etc
50:20 period we should also add a new
50:23 section for professional background
50:36 all
50:38 right so now we've got basic
50:41 information there's our little early
50:43 stuff education professional background
50:46 can you describe your career Journey so
50:48 far how did you get started major
50:49 transitions Etc what's been the most
50:51 rewarding project or work experience
50:53 you've had have you had any significant
50:56 mentor or influencers yeah so this is
50:58 quite good so this is essentially it
51:01 right so now it's a nine nine questions
51:03 so
51:04 that's 9 * 3 is 27 27
51:08 questions so that's like a half hour
51:11 interview and what you do is you just
51:14 you know P put that [ __ ] up and ideally
51:17 you have someone you record this have
51:19 someone record you or do do like a zoom
51:21 call with someone you know where they
51:23 can watch you answering the questions
51:25 and if you try to weasle out of a
51:27 answering a question they can like slack
51:29 you or they can even say it it doesn't
51:31 matter if there's extra [ __ ] in your
51:32 interview they can just say hey can you
51:34 dig deeper on that you'll be like oh
51:37 yeah sure well you know you know what
51:41 whatever dig deeper all right make
51:44 sense
51:46 good we got it I got a shutdown for
51:50 violating terms of service with
51:52 pi only once and it was a long time ago
51:55 huh that's interesting
52:02 [Music]
52:14 all
52:16 right let's go
52:20 back let's see what Brandon's got for us
52:23 Adobe
52:25 video yeah so ad Adobe adobe's doing
52:28 Adobe Max right now if you want to see a
52:30 bunch of cool [ __ ] just go to Twitter
52:32 and type in Adobe Max and just go watch
52:34 a bunch of the videos we can look at
52:35 some of them tonight but but
52:38 basically Adobe when when I first
52:41 started the the salon in December of
52:44 2022 a good buddy of mine worked at
52:47 Adobe and he worked in the AI group John
52:49 Knack and he came and he spoke at the
52:51 the salon and John um the first time he
52:56 spoke
52:57 he showed us some AI stuff that adobe
52:59 was working on but he said we haven't
53:01 really made a decision whether we're
53:02 going to you know launch this stuff and
53:05 then two months later out came Firefly
53:09 and they launched it and so if you look
53:13 at the Adobe Max videos what you're
53:15 seeing is the fruits of the fact that
53:17 they they went in early aggressively
53:19 with AI you're starting to see the
53:22 results of you know things they're
53:23 adding to their tools that are pretty
53:25 pretty miraculous there's one now that's
53:27 called I forget what it's called but you
53:30 basically take like a you chop a person
53:33 out of picture a and you put them into
53:35 picture B where the lighting's
53:36 completely different and and you just
53:38 say make it look the same and it just
53:40 goes relights it Shadows it's crazy it's
53:47 Bonkers question how does your digital
53:49 twin answer stuff for you that you have
53:53 no knowledge about because it's
53:55 connected to the it's connected to
53:59 gp4 so it just does
54:02 now what you would what you would argue
54:05 is well that's not really a digital twin
54:09 correct um but but it um but it does it
54:14 Through My worldview Lens it's it's
54:18 fascinating um and like if you do
54:20 brainstorming with it it tends to be
54:22 really good because it kind of knows how
54:24 you think what is happening with the
54:27 image show and tell on the mighty
54:30 Channel I don't
54:33 know is something going on
54:38 there image Show and Tell did did we get
54:44 invaded image
54:47 tools show and tell
54:57 I don't
55:00 know it seems normal to
55:04 me I don't know what's going on Daniel
55:06 quebecer what what's the question I mean
55:09 I mean I know what the question is
55:11 what's the what's the purpose of the
55:13 question just go into the go into the
55:15 salon and hang
55:23 out oh no more images in Show and Tell I
55:26 think ah okay okay got it got it got it
55:28 okay yeah so so we we changed some
55:31 things got it got it got it I thought I
55:33 thought we were like invaded by like
55:34 hackers or
55:37 trolls okay so let me let me catch
55:40 everyone else up so where I'm where I'm
55:42 going right now is I'm going to the
55:45 community site for the AI salon so if
55:48 you go to the
55:50 salon. that's our website and if you
55:52 scroll down a little bit you'll see a
55:53 button that says join our community and
55:55 if you click on join our Community
55:57 that'll take you over
55:59 to AIS salon.
56:02 mn. the mighty
56:05 networks and okay so there's a couple of
56:08 things so so we've done some rearranging
56:10 Daniel and and if you haven't been in a
56:12 while there's I I'm really excited about
56:15 these changes but they are different so
56:17 let me walk you through them uh can I
56:20 widen that no okay so the first thing we
56:23 did is we created a new welcoming
56:25 sequence called start your adventure and
56:27 it's seven steps there's you start with
56:30 welcome and there's a a welcome video
56:32 from Leah and I um welcoming everyone to
56:35 the uh to the
56:37 salon um and then you know we talk about
56:39 play first mindfully create generously
56:41 lead then you introduce yourself then
56:44 you learn our values then you can here's
56:46 a link to all of our past meetings um
56:50 you can RSVP for the next event which by
56:52 the way the the
56:54 next um Salon presents was supposed to
56:57 be on November 5th which is election
56:59 night so I just figure everyone's going
57:01 to be worried about that rather than
57:03 this so we're not doing it uh next uh
57:06 the first weekend or the first Tuesday
57:09 of November is not happening um and then
57:12 hang out in chat is is that thing and
57:14 then help us grow is basically our
57:15 social media channel so so that
57:17 seven-step onboarding process that's new
57:20 we all we then also really cleaned up
57:21 what we're now calling Community Corner
57:24 which is Salon announcements we added a
57:26 new section called call for
57:27 collaborators so if you want to put
57:29 together a project and you want
57:30 collaborators you can start your own
57:32 little um threads in here uh to see if
57:34 you can get people to to you know join
57:36 you on a project you can ask for help uh
57:39 about the community and then you can
57:40 give people shout outs then there's a
57:42 news section and then there's a whole
57:44 new area called tools and play so all of
57:47 the showand tell areas are inside the
57:50 tools and play so every one of these
57:52 sections now has three areas there's the
57:54 tools tab the tool talk tab where you
57:59 can chat about this stuff and then
58:00 there's Show and Tell and so all of the
58:03 showand Tells that were there before are
58:04 still there but that's now within each
58:08 of these areas and so this allows people
58:10 to play with different tools and you
58:13 know we're updating we're updating these
58:15 sections based on you know what people
58:17 are talking about and what they request
58:20 be put in there uh but you can go in and
58:22 you can ask questions so this is a new
58:24 really powerful area so that's that's
58:26 where Show and Tell went so sorry about
58:28 that I didn't quite understand the
58:34 question all right ah ah said
58:39 Daniel it makes so much sense
58:46 now yeah I we were actually worried that
58:48 that was going to be a a real problem
58:50 and just people sort of you know
58:52 intuitively jumped in and kept kept
58:54 adding things into the show and tell
58:56 area
58:57 so we basically took the showand tell
58:58 channels and just added the tool lists
59:00 to it is is effectively what we did and
59:03 then added added in a little chat
59:05 section um so anyway yeah but anyway
59:08 this is the salon if you're if you're
59:10 not a part of the salon this is a really
59:12 powerful Community um where you know our
59:15 values are like who can you expect to be
59:18 in here you can expect people in here to
59:21 be curious curiosity is one of our
59:23 values playful like there's the the
59:27 douche the douche quoti is very low in
59:30 this community like you have a lot of
59:31 very generous people that are playful
59:33 and curious and um empathy empathetic
59:37 bravery willing to take a risk willing
59:39 to try new [ __ ] willing to feel like you
59:42 know a complete Outsider and you know
59:45 um feel completely clueless but do it
59:49 anyway and then the final one is
59:51 generosity this is a this is a community
59:53 full of people that are generous in
59:56 their willingness to share what they
1:00:00 know you know we've got Peyton here
1:00:02 Peyton I joke all the time and you know
1:00:04 go back and forth on stuff he's he's uh
1:00:08 uh he works at Google on their on their
1:00:11 TPU uh group uh doing sort of high-end
1:00:16 AI stuff and he is completely willing to
1:00:19 come in and explain how stuff works
1:00:21 technically things like that we've got
1:00:23 you know similar people with um like
1:00:25 Peter k I will teach you how to make
1:00:28 stuff in mid journey and so will Claire
1:00:30 and there's a there's a club with
1:00:32 Brandon and Claire Dr J in here um
1:00:35 called uh everyday life hacks where you
1:00:39 can you know figure out all sorts of
1:00:40 cool [ __ ] you can do with AI to just
1:00:43 make your life better it's a it's a cool
1:00:45 group so if you have not joined it you
1:00:48 should go join it and become a
1:00:51 loving generous Brave empathetic playful
1:00:56 curious
1:00:57 [Laughter]
1:01:00 Soul cuz
1:01:02 if here's the [ __ ]
1:01:05 deal like social media is [ __ ] nasty
1:01:10 right everyone's down to cut everyone
1:01:11 else down everyone's jealous of
1:01:14 everyone the thing about this AI stuff
1:01:18 is it's so profound and it's so
1:01:23 um it's moving so fast
1:01:29 that it's essentially impossible to keep
1:01:31 up with it so by being in a community
1:01:33 like
1:01:35 this you surround yourself with people
1:01:37 that have figured out some piece of the
1:01:39 puzzle right there's there's a million
1:01:41 pieces of this puzzle we're trying to
1:01:43 solve and any one of us can maybe handle
1:01:46 three or four
1:01:47 pieces right if we're really capable if
1:01:51 you're like I'm just getting started you
1:01:53 might just have one corner of one piece
1:01:55 and that's fine
1:01:56 cuz I guarantee you that little corner
1:01:58 is some some Corner that someone else
1:02:00 hadn't hadn't figured out
1:02:02 yet and because it's a community that is
1:02:05 curious they're constantly learning new
1:02:08 pieces and because they're playful
1:02:11 there's not like The Angst and stress of
1:02:13 like we got to figure it out we got to
1:02:15 we got to make things more efficient
1:02:21 and and then because people are generous
1:02:24 they're willing to share what they're
1:02:25 learning so you can come into this
1:02:28 community and
1:02:31 be and get up to speed with this AI
1:02:34 stuff dramatically
1:02:36 faster than you could have otherwise and
1:02:39 that's what this Channel's about I go
1:02:41 live here five nights a week if you've
1:02:44 not been here
1:02:46 before 8:00 p.m. mountain time week
1:02:49 nights I go live and it's Chad add like
1:02:53 what I can promise you is I don't have
1:02:55 an agenda
1:02:56 I will not have an
1:02:58 agenda I don't like agendas they give me
1:03:03 aa I occasionally finish a sentence you
1:03:07 can make money
1:03:08 with many times I
1:03:13 don't but this isn't about me what this
1:03:15 is about this is about this community
1:03:18 hanging out together and supporting one
1:03:20 another and hanging out over on the AI
1:03:23 Salon answering each other's questions
1:03:25 here welcoming new people in oh this is
1:03:27 where Kyle he's just acting like an
1:03:29 idiot right now he'll he'll calm down
1:03:31 soon
1:03:34 enough you know they'll come in and talk
1:03:37 about how I should trim my nose
1:03:42 hair send me free
1:03:44 minoxidil things for
1:03:47 my um gravity challenged
1:03:55 hairline it's a loving group to each
1:03:57 other they're very mean to
1:03:59 [Laughter]
1:04:04 me all right what else Brandon got for
1:04:07 us back to chat eedd so how wait so how
1:04:11 or where the idea of this community came
1:04:14 from which is great thank you ocean
1:04:19 um I
1:04:21 so so I was already getting pretty sold
1:04:25 on generative AI I was doing a lot of
1:04:27 stuff with stable diffusion and a thing
1:04:29 called dream Booth where I could upload
1:04:31 pictures of myself and make like these
1:04:32 crazy self-portraits so I started an art
1:04:34 project in like fall of
1:04:38 2022 um called Kyle Shannon dreams and
1:04:40 it was just all these weird ass
1:04:41 portraits of me and I'd write stories
1:04:43 for them and
1:04:46 um because of
1:04:49 that a good friend of mine I used to
1:04:51 work with at agency.com said hey will
1:04:54 you talk to my friend Leah she's a
1:04:56 photographer here in Boston and she
1:04:58 wants to know like what the hell are you
1:04:59 doing to make these images and I'm like
1:05:01 sure I'll sure I'll talk to her so Leah
1:05:04 called me and we talked for a couple of
1:05:06 times and you know I told her what I was
1:05:08 doing and she told me what she was doing
1:05:10 and she just had this really cool
1:05:11 attitude I'm like are you doing anything
1:05:13 in AI she's like no I've been a
1:05:15 photographer for 20 years and I made the
1:05:17 transition from film to digital and now
1:05:19 I'm kind of excited about figuring out
1:05:21 this AI stuff and so I want to know what
1:05:23 you're doing and and we just talked
1:05:24 about
1:05:26 that idea of just being in this curious
1:05:28 space about it and then right in the
1:05:31 middle of that conversation chat GPT
1:05:34 drops and we had been kind of talking
1:05:37 about I wonder if we put together like a
1:05:39 little group to you know figure this
1:05:43 [ __ ]
1:05:44 out and so chat GPT dropped and I
1:05:48 [ __ ] lost my mind I was like holy
1:05:51 [ __ ] this changes everything and and to
1:05:54 to give you a little bit of context back
1:05:55 in in the mid 90s I had a very similar
1:05:59 Epiphany about the worldwide web I'm
1:06:00 like holy [ __ ] this web thing changes
1:06:03 everything but nobody knows about it yet
1:06:05 and so I started one of the early
1:06:07 digital U magazines an art and culture
1:06:10 magazine called Urban desires and I
1:06:12 started an agency called agency.com
1:06:14 which was one of the first digital
1:06:16 agencies and we built a lot of the
1:06:18 websites for the Fortune 500 when nobody
1:06:20 really knew what websites were cuz it
1:06:22 was super simple there were like six
1:06:24 HTML tags like it it didn't take much
1:06:27 but it took curiosity and it took um a
1:06:30 whole Community coming together so back
1:06:32 in the 9s I started this group called
1:06:34 the worldwide web artist Consortium in
1:06:36 New York City and we became like
1:06:41 the you know Industry
1:06:44 Group um for for East Coast web
1:06:47 development right so because what New
1:06:49 York had that San Francisco didn't was
1:06:51 the whole media world right they had all
1:06:53 publishing and things like that and so
1:06:58 so my experience putting that group
1:07:01 together was like I knew it was required
1:07:04 I knew that nobody was an expert I knew
1:07:06 that everybody was trying to figure it
1:07:08 out this is what I learned back then
1:07:10 everybody was trying to figure it out
1:07:12 the only way you could actually learn
1:07:14 stuff was like hang out with other
1:07:16 weirdos that were talking about the
1:07:18 worldwide web so the minute chat GPT
1:07:21 came out I was like holy [ __ ] this is
1:07:23 one of
1:07:24 those and so so I just said to Lee I
1:07:27 said I said we're starting the salon and
1:07:29 we went and got the URL and we booked a
1:07:32 meeting and 7 days after chat GPT
1:07:36 launched we had our first meeting here
1:07:38 and I think probably within a week or
1:07:41 two of that I started this Tik Tok
1:07:45 Channel um just as a way I you know it's
1:07:48 funny I selfishly started this
1:07:53 channel because I thought
1:07:57 if
1:07:59 I if I if I put myself on the hook for
1:08:03 explaining how this [ __ ] Works to other
1:08:05 people I need to learn it well enough
1:08:07 that I know how to use
1:08:09 it it was very selfish
1:08:12 right um and then about three or four
1:08:16 months after that I started doing these
1:08:19 lives so April of
1:08:21 2023 April 30th 2023 was the first live
1:08:26 and I just made a commitment I was uh at
1:08:30 the time I was doing a lot of sim racing
1:08:33 like I have a racing rig so I was racing
1:08:35 people on virtual car tracks and I'd
1:08:38 come home and I'd eat dinner and then
1:08:39 I'd race for two or three
1:08:41 hours I was just wasting my
1:08:44 life and I thought what if instead of
1:08:48 racing for two or three hours a night I
1:08:50 went live for two two or three hours a
1:08:52 night so I just made a commitment and so
1:08:54 for $300 65 days except for the days I
1:08:58 was banned by Tik Tok for saying stupid
1:09:01 [ __ ] um I went live and then once I hit
1:09:06 a year I dropped it down to five days a
1:09:08 week so so that's why it's weekday
1:09:11 now but that's the that's the origin
1:09:13 story of it so
1:09:20 um I think I think a lot of
1:09:24 people don't quite get the shift that
1:09:28 that chat GPT
1:09:29 caused so pre- chat
1:09:32 GPT if you wanted to be an AI you
1:09:35 essentially had to be an
1:09:37 engineer you had to understand what apis
1:09:39 were you had to understand if you go
1:09:41 into the the chat GPT playground what
1:09:44 different models were and there was
1:09:46 documentation and you had to read that
1:09:48 [ __ ] and if you really wanted to like do
1:09:51 your own AI you had to understand what
1:09:53 weights were and what embeddings were
1:09:55 and what [ __ ] math was and you're
1:09:57 like if you're like me you looked at it
1:10:00 and you're like I want it to be
1:10:06 easier and then chat PT came out and it
1:10:09 was like
1:10:11 ah this is where I come
1:10:13 in because one of the things that I've
1:10:16 historically been really good
1:10:18 at is when one of these moments happen I
1:10:21 don't know what it is it's just my sort
1:10:23 of Natural Curiosity like
1:10:26 that Tipping
1:10:28 Point you know for AI it's November 30th
1:10:32 2022 it is crystal clear for the
1:10:35 worldwide web it was 1989 whenever Tim
1:10:37 burner Lee come up came up with the HTTP
1:10:40 protocol and then when and what when it
1:10:42 really was was like 1993 94 when the
1:10:46 first web browser came out right so that
1:10:49 was that was kind of the inflection
1:10:51 point for the worldwide web was was
1:10:53 really 9394
1:10:56 with AI it's quite specific November
1:10:59 30th 2022 open AI launches chat
1:11:05 GPT a fun fact that many people don't
1:11:08 know is that the instructions for how to
1:11:12 build chat GPT were in the documentation
1:11:15 of GPT 3's Dev site for a
1:11:19 year and nobody built that
1:11:23 [ __ ] and Sam wman said to the tech team
1:11:26 you have two weeks to build it Microsoft
1:11:28 was about to announce a billion doll
1:11:30 investment in open Ai and Sam Alman said
1:11:33 you have two weeks and so the team said
1:11:36 oh go build that thing that's in the
1:11:38 documentation yeah go build that
1:11:42 okay they built it they went out for
1:11:44 drinks the night before it was going to
1:11:47 launch and they they they assumed maybe
1:11:49 it would get shared a couple hundred
1:11:51 times and you know 5,000 comments
1:11:53 something like that five 5 days later
1:11:56 they had a million
1:11:58 users 6 weeks later they had a 100
1:12:01 million users fastest adoption of
1:12:03 technology in history with no
1:12:11 marketing that's the
1:12:15 beginning and I I I did some research I
1:12:19 mean no I didn't do research I asked
1:12:20 chat GPT once how many developers are
1:12:24 there in the world like what's the
1:12:25 percentage
1:12:26 and it's incredibly low like being
1:12:28 generous generous generous it's maybe 2%
1:12:30 it's probably more like
1:12:34 1.2% so prior to November
1:12:38 30th you
1:12:41 know 1.2% of of the Earth's
1:12:48 population you know who could be who
1:12:50 could be developers had access to Ai and
1:12:54 after November 30th the other
1:12:58 98.8% of people got access to
1:13:02 it that's that's what's going to change
1:13:05 everything I mean yes we need the
1:13:07 technologist to build it to make it
1:13:09 efficient to do all that but now that
1:13:10 it's in our
1:13:12 hands you
1:13:14 know we watched a video last night from
1:13:17 Joy pie who's in here a 7 minute video
1:13:20 she did using generative audio
1:13:23 generative music generative IM
1:13:26 generative video clever editing just
1:13:30 just like elbow grease of just her Brute
1:13:33 Force learning how to do it brilliant
1:13:38 film it it was so good that I said she's
1:13:43 definitely got a like a film making
1:13:45 background and so she was on last night
1:13:48 and I said you have a filmmaking
1:13:49 background right and she's like
1:13:52 no I'm just a lady that works in
1:13:55 healthcare
1:14:02 so that's why this exists
1:14:06 because and and you know Sam Alman talks
1:14:09 about this a lot he says there's only so
1:14:11 much we can do in the lab there's only
1:14:13 so much testing and training we can do
1:14:14 in the lab because we're Engineers we're
1:14:16 going to look at what these tools are
1:14:19 through a very particular
1:14:21 lens and it's only when we put these
1:14:23 tools out in the world to the other
1:14:28 98.8% and say what are you going to do
1:14:30 with this
1:14:31 thing oh they're making a lot of
1:14:33 children's
1:14:35 books there's a lot of cookbooks being
1:14:37 made huh
1:14:43 interesting so that's what this is all
1:14:46 about what are we going to do with it
1:14:49 and by we I mean the rest of
1:14:53 us how are you going to use it and work
1:14:55 how how you going to use it at home how
1:14:57 are you going to use it with your
1:14:58 friends oh I'd never use it with my
1:15:00 friends they they they don't like AI
1:15:03 well then they haven't [ __ ] played
1:15:04 with
1:15:05 it you
1:15:08 know uh is Joy's video in the AI Salon
1:15:12 it is a is a Gen X Echo chamber for the
1:15:17 most part that's just mean
1:15:20 Pate pate's just under Gen X so he's a
1:15:22 little bitter he's got millennial age
1:15:26 toward the Gen
1:15:27 xers but it's true it is totally a Gen X
1:15:31 Echo chamber he's not here's the thing
1:15:33 about pay he says things that are mean
1:15:35 but they're also true which is really
1:15:38 [Laughter]
1:15:48 annoying but also not for
1:15:51 nothing we got some gen xers that are
1:15:54 pretty kickass at at generative
1:15:57 AI which I think is pretty [ __ ]
1:15:59 cool like a lot of people oh joy PR's in
1:16:02 here hey Joy yes in video show and tell
1:16:05 P's like that's
1:16:08 me mean but
1:16:14 accurate raise his hand yes an Murphy
1:16:17 how can we help you I by the way I had a
1:16:19 blast Dan on your on your podcast today
1:16:21 so thank you for that that was that was
1:16:23 really awesome are they making fun of
1:16:26 Gen X no just P's making fun of Gen X oh
1:16:28 yeah it's a very talented
1:16:30 group I use it on my sites what's that
1:16:34 the
1:16:35 balm I I use the balb on my sites
1:16:38 too it's just a
1:16:44 rash oh you're raising your hand cuz
1:16:47 you're a gen xer
1:16:51 and same raise his hand because Gen X
1:16:53 and good at generative AI exactly L
1:16:58 exactly I'll put up I'll put up my batch
1:17:01 of Gen X batshit crazy Irregulars here
1:17:05 against your [ __ ] gen Z don't give a
1:17:08 [ __ ] about the world any day of the week
1:17:11 we will [ __ ] mop the floor with you
1:17:13 your your
1:17:17 zenial yo man I don't know why you're so
1:17:20 excited about this AI stuff whatever dad
1:17:26 I've got two of them upstairs they don't
1:17:28 give a [ __ ] about this stuff I'm like
1:17:31 this is this is your ticket to like [ __ ]
1:17:33 you the older Generations yeah whatever
1:17:38 like gen xers are like all right well
1:17:41 they they [ __ ] forgot about us on the
1:17:42 news I guess we'll just [ __ ] things up
1:17:44 with with
1:17:48 AI we got a chip on our shoulder and we
1:17:51 get joy out of
1:17:53 it we will offend you we will trigger
1:17:56 you we will absolutely trigger you and
1:17:59 now because of AI we're going to be much
1:18:01 better at triggering you than than we
1:18:03 were without it cuz we can be much more
1:18:05 articulate about the 17 different ways
1:18:08 we can offend
1:18:11 you so much joy
1:18:17 exactly oh man in 40 lead a prompt with
1:18:22 Slash reason and it will invoke 01
1:18:24 preview
1:18:26 we were there at the beginning of the
1:18:27 internet and now this you know Lori K I
1:18:30 think I for me that that's the only
1:18:34 explanation I can figure
1:18:36 out of why Gen X gets this so much and
1:18:40 is so [ __ ] passionate about it and
1:18:42 again I think P's got a point that my
1:18:45 particular worldview is skewed by the
1:18:47 fact that this is a bit of a Gen X Echo
1:18:50 chamber
1:18:51 but like a lot of the Gen xers in here
1:18:54 are cons their kids don't give a [ __ ]
1:18:56 about it the young people don't give a
1:18:57 [ __ ] about it
1:19:00 um and uh but but like gen xers that
1:19:04 like once they see it they're like ah
1:19:06 this is like that early internet [ __ ]
1:19:09 and a lot of them are like this is like
1:19:10 that early internet [ __ ] that I missed
1:19:13 and I swore if I ever got the chance to
1:19:15 do this [ __ ] again I wouldn't miss it
1:19:17 this time so I think there's some of
1:19:19 that going on
1:19:21 too so I think you're right on spot on I
1:19:24 feel we worked and broke all the rules
1:19:27 to survive yeah that's
1:19:29 right it's it's a totally fine Echo
1:19:33 chamber if it's if it's an AI Echo
1:19:35 chamber too not too bad yeah exactly yes
1:19:39 I feel the same way I grew up watching
1:19:41 the Jetson Joey isn't it amazing
1:19:46 that with the exception of flying cars
1:19:49 but now we've got drones so so we're
1:19:53 actually not that far from flying cars
1:19:55 like all of the tech on the Jetson all
1:19:57 of it were within 3 years
1:20:03 of it's
1:20:06 bizarre I kind of feel like a lot of the
1:20:09 Star Trek technology we we got about
1:20:11 half of the Star Trek technology out of
1:20:12 the way with the internet and the
1:20:14 worldwide web and social media and small
1:20:17 you know
1:20:18 smartphones like like I feel like we got
1:20:21 you know half of it out of the
1:20:23 way and and there's probably AI is
1:20:26 probably going to do like you know the
1:20:28 next
1:20:30 35% so there's still like the 15% of you
1:20:34 know the particle Beamers and [ __ ] like
1:20:36 that but like the room where you walk in
1:20:38 and it just turns into a different you
1:20:40 know it turns into like a western
1:20:43 town like we're not that far from
1:20:46 that it's [ __ ] [ __ ] crazy living
1:20:49 in a post- Sci-Fi
1:20:51 world my son was born after chat GPT was
1:20:54 launched wow I can't imagine what his
1:20:57 gen will do or have I mean pay that's
1:21:01 that like kids that are born right now
1:21:04 you know if you think about kids that
1:21:06 were born when the internet was first
1:21:08 firing up kids that were born that
1:21:13 always had the internet always had it
1:21:15 always
1:21:16 on so probably kids that were born kind
1:21:19 of 2000 and up like my kids were born
1:21:23 1999 and
1:21:26 like they've lived their whole lives
1:21:27 with the internet being connected and
1:21:29 like your kid is going to grow up in a
1:21:32 time where you can literally
1:21:34 go I want
1:21:37 this and then it will be manifested
1:21:40 right it'll be 3D printed or it will be
1:21:44 you
1:21:44 know a video game will
1:21:49 emerge that's
1:21:53 Bonkers it's bonkers
1:21:56 it's like we gen xers we had to watch
1:21:58 the [ __ ] secret remember the secret
1:22:01 you know think it and it will manifest
1:22:03 it it was all like this esoteric [ __ ]
1:22:05 but now with generative AI you literally
1:22:07 ask for it it's like there it
1:22:11 is we don't we don't need no thinking
1:22:14 secret we we got gen
1:22:19 AI what's amazing in Star Trek they
1:22:22 never showed anything automated by AI
1:22:24 other than talking yeah talking to the
1:22:26 to the
1:22:27 bridge it feels like manifestation it
1:22:30 totally is manifestation the secret was
1:22:33 so
1:22:34 ridiculous because we're living in a pre
1:22:37 AI world and I'm just a pre-ai girl cuz
1:22:40 we all live that's good I like
1:22:44 it I love that age so much fun babies
1:22:48 are
1:22:50 awesome hey I guy we finally got get to
1:22:52 be George and Jane Jane Jane stop this
1:22:56 crazy
1:23:01 thing oh
1:23:04 man I think because we're all the same
1:23:07 exact same media at exactly the same
1:23:10 time the future was speeding up yeah
1:23:13 that that could be part of it yeah I
1:23:14 mean I think I kind of feel like gen
1:23:16 xers are you know were definitely the
1:23:18 last
1:23:20 generation to understand what monolithic
1:23:24 Med
1:23:25 was right like when I grew up there were
1:23:27 three networks that was it three
1:23:30 networks and then the UHF channels that
1:23:33 you know just came in all
1:23:38 fuzzy I'll never forget I when I was 5
1:23:42 years old I invented the
1:23:46 DVR so I'm watching whatever show and my
1:23:50 mom comes into the
1:23:52 room and she's like like okay Kyle time
1:23:56 for bed and I'm like okay but if I turn
1:23:59 this off can I can I keep watching this
1:24:01 in the morning and she said yes and I
1:24:03 was like great and so I turned off the
1:24:06 TV and I went to bed and then I woke up
1:24:09 in the morning like you do and I'm like
1:24:11 awesome I'm going to go finish that show
1:24:14 and I turned on the TV and the [ __ ]
1:24:16 news was
1:24:17 on I said Mom where's my show and she's
1:24:20 like what are you talking
1:24:22 about she didn't know what what I was
1:24:24 asking
1:24:25 I'm like you said if I turned it off it
1:24:27 would be here when I came and it's not
1:24:29 here she goes no that that's not how it
1:24:32 works so I didn't have the technical
1:24:35 capability back then but at 5 I
1:24:38 knew how the DVR worked it just didn't
1:24:42 exist
1:24:43 yet my first little Design Studio was
1:24:46 called attraction Industries because of
1:24:48 the secret beautiful fantastic yeah my
1:24:51 wife and I we did the secret we did Tony
1:24:53 Robbins
1:24:55 um we did The Forum landmark forum we
1:24:57 did it all like we're you know we're
1:25:00 [ __ ] hippie actors from from way
1:25:04 back we still do my uh my co-founder and
1:25:07 I with Story vine we'll we'll bring in
1:25:09 psychics we're like what's going on we
1:25:12 going to close this
1:25:15 business Hands Across
1:25:17 America
1:25:19 exactly that's
1:25:21 awesome attraction Studios that's
1:25:24 awesome
1:25:25 Hands Across America was fantastic and
1:25:27 then there was up with people remember
1:25:29 up with
1:25:30 people we we don't need those stinking
1:25:32 therapy we're just going to go to the
1:25:34 [ __ ] theater we're going to we're
1:25:36 going to [ __ ] dance our way out of
1:25:38 this we will not feel feelings up with
1:25:47 people up with
1:25:50 people we are the world exactly we had
1:25:54 it all people don't know how good we had
1:25:56 it I don't think we know how good we had
1:26:01 it Bob Dylan sings we all the world we
1:26:05 all the
1:26:11 people it was funny I saw I just saw a
1:26:13 documentary like they they finally got
1:26:16 Bob Dylan to agree to come to We are the
1:26:18 world and Dylan shows up and there's
1:26:21 like the world's best singers in the
1:26:23 room and so Dylan starts trying to
1:26:26 sing and I think it was uh liono Richie
1:26:30 pulled him aside and he's like dude no
1:26:32 just do you you don't need to sing so
1:26:35 that's why he's
1:26:36 [Applause]
1:26:43 like oh I don't actually feel old but at
1:26:46 the DMV today a girl was getting a
1:26:49 license date of birth 1016
1:26:53 2008 yeah
1:26:55 well I'm like I'm like I'll see I'll see
1:26:58 something on TV like you know um you
1:27:01 know 80s flashback and I'm like oh yeah
1:27:03 80s that was a couple of years ago and
1:27:05 I'm like oh that was like 45 years ago
1:27:08 oh
1:27:09 God I go to flop
1:27:15 sweats oh the We Are the World video
1:27:17 makes me cry it was definitely a
1:27:21 tearjerker oh my God you mean nobody
1:27:23 thought Dylan could sing I thought I was
1:27:32 crazy I have never
1:27:35 I I appreciate the space that Dylan
1:27:39 fills in in in cultural history but I
1:27:44 never I never got
1:27:48 [Music]
1:27:51 it like he's he sings like an SNL parody
1:27:56 of
1:28:00 himself he's from Minnesota that's
1:28:04 awesome oh my god do you want to know a
1:28:07 a brilliant but incredibly depressing
1:28:10 film is inside Luen Davis if you have
1:28:14 not seen that film if you if you like
1:28:16 Dylan and you like that era of
1:28:18 Music Inside Luen Davis is essentially
1:28:22 about a musician
1:28:25 who just missed being Bob
1:28:29 Dylan he's like he's like just at the
1:28:32 end of his career he's singing all these
1:28:34 shitty
1:28:35 bars and this kid shows up that starts
1:28:39 singing these songs and he's like I
1:28:41 don't get it and then the audience
1:28:42 [ __ ] loses their mind and it's Bob
1:28:44 Dylan and so it's a movie about not Bob
1:28:48 Dylan it's so [ __ ] depressing
1:28:56 oh
1:28:57 man it's very well done
1:29:02 though happy early birthday Pate when's
1:29:06 your birthday buddy that's
1:29:08 cool how the hell did he have a music
1:29:10 career you know
1:29:13 listen it's the thing
1:29:18 about that you know there are certain
1:29:20 people like like I feel like
1:29:24 there's certain people that are just who
1:29:26 they are and they're they're so specific
1:29:29 that they rise kind of in spite of
1:29:32 whatever else is going on right Dylan
1:29:36 was just like his comment like it was
1:29:39 his commentary and
1:29:40 his and his commitment to that message
1:29:43 and his commitment to his poetry it was
1:29:45 all about the
1:29:46 words and no one else was doing that and
1:29:49 I like I look at I look at Billy ish and
1:29:51 I think she's like that where she just
1:29:53 like she seemed to just emerge out of
1:29:55 nowhere there was nothing else like
1:29:59 her and it and it was just like it was a
1:30:02 singular voice there's there's that
1:30:03 video have you seen the video of um Fel
1:30:07 Williams watching Maggie Rogers
1:30:10 listening to Maggie Rogers song Alaska
1:30:13 for the first
1:30:15 time
1:30:18 um where the song starts playing and you
1:30:20 just see his he's like
1:30:25 and and the song ends and he goes I have
1:30:27 zero zero notes for
1:30:31 you and he says you are you are doing a
1:30:36 singular thing and he goes no one can
1:30:39 judge that you either like it or you
1:30:41 don't but you can't compare it to
1:30:43 anything else because there's nothing to
1:30:44 compare it to so I feel like there's you
1:30:47 know these come
1:30:50 along I don't know every five years
1:30:52 every seven years something like that
1:30:54 and they just emerge because they're not
1:30:57 the
1:30:58 other so and and and the time is right
1:31:01 you know the thing that made me feel
1:31:04 oldest recently 20th anniversary of
1:31:06 Shawn of the dead I'm telling you PT man
1:31:09 it just gets worse and worse I remember
1:31:11 I was at at agency.com
1:31:14 we
1:31:15 were we were growing a little too fast
1:31:18 and I think I had taken over the I was
1:31:20 the chief people officer I was the the
1:31:22 chief HR guy cuz we were [ __ ] up
1:31:24 people's lives and I was like someone's
1:31:25 got to fix
1:31:27 this and I remember being in an
1:31:29 onboarding meeting we had just hired
1:31:32 like 20 people and so I'm in a room full
1:31:34 of 20 people that are new
1:31:36 hires and I
1:31:38 said you know agency.com it's like
1:31:42 soilent
1:31:44 green nothing I was like it's the people
1:31:49 nothing nobody knew what soilent green
1:31:51 was no nobody got the reference and I
1:31:54 just I remember breaking into a flop
1:31:56 sweat going oh my God I'm
1:32:00 old and then it's just and then it just
1:32:03 after that everything's worse like
1:32:04 everything's an old reference to things
1:32:07 that you thought the things that you
1:32:09 think are still contemporary
1:32:12 that they're not even you know they're
1:32:14 they're still in the print version of
1:32:15 the encyclopedia
1:32:17 [Laughter]
1:32:20 britanica that's the deal man that's the
1:32:22 deal with aging
1:32:25 every third month or so the AI learning
1:32:27 lab takes a sharp right down down memory
1:32:29 lane it's true it's the people is the
1:32:32 only thing I know about soilent green
1:32:34 exactly like if you know soilent Green
1:32:36 at all you know it's the people soilent
1:32:39 green is
1:32:40 people it's a funny joke if you're in HR
1:32:43 and you're like it's about the people
1:32:46 but it's not and and today it would be
1:32:48 really bad so you so now that I
1:32:53 understand the reference are you you're
1:32:54 are you saying that cannibalism is
1:32:57 acceptable oh my I don't know that I can
1:32:59 work here this is a very aggressive
1:33:01 environment this is I oh
1:33:04 my you're and you're the head of HR um H
1:33:08 uh could I I don't who would I talk to I
1:33:11 I think I'm just going to go okay
1:33:19 okay I watched so green recently it's
1:33:22 pretty red it's a great movie movie it's
1:33:25 a great movie but it is ancient history
1:33:27 it was like the
1:33:29 70s Charlton hon before he looked
1:33:35 old Saturday Night Fever is still great
1:33:39 you this is definitely a Gen X Echo
1:33:46 chamber all right I said we would look
1:33:49 at Brandon's list he keep look this is a
1:33:51 long list of [ __ ] we could talk about
1:33:54 about he doesn't want us to talk about
1:33:57 old people stuff he's a little younger
1:33:59 Brandon he's
1:34:00 enthusiastic he's
1:34:02 smart but he doesn't have the you know
1:34:06 edge of us old people hang
1:34:10 on anthropic founder on AGI okay this is
1:34:14 actually an important one what time is
1:34:18 it I'm not going to go to it
1:34:21 but go do yourself if if you have
1:34:24 haven't heard of this do yourself a
1:34:26 favor and go
1:34:29 Google Machines of Loving Grace by Dario
1:34:35 amade so Machines of loveing Grace is a
1:34:38 15,000 word
1:34:40 essay that the founder of anthropic
1:34:43 wrote sometime this past
1:34:46 week and it's an incredibly optimistic
1:34:49 view of the impact of AI That's coming
1:34:52 and it's it's a long read it's 15,000
1:34:54 words if you're like me and you're like
1:34:57 I can't read 15,000 words pop the URL
1:35:00 into chat GPT and say summarize this or
1:35:05 even better I did this one this is fun
1:35:08 go to notebook LM and pop the URL into
1:35:11 notebook LM and then create an audio
1:35:13 overview you can create a little podcast
1:35:15 where they'll talk
1:35:17 about Machines of of loving grace but he
1:35:21 he talks with with some specificity
1:35:24 about you know the the areas in our
1:35:27 lives that are going to improve
1:35:29 dramatically over the coming years like
1:35:32 you know in in in terms of like
1:35:34 biological Improvement we're going to
1:35:36 see a hundred years of biological
1:35:39 Improvement in 5 to 10 years things like
1:35:43 that and this is coming from the guy
1:35:44 that's you know one of the F he was a
1:35:46 co-founder of open Ai and then he left
1:35:49 to form anthropic which is Claude right
1:35:51 Claude if you've used Claude this is the
1:35:53 guy that created it so that's worth
1:35:57 going and looking at Machines of love
1:35:58 and
1:35:59 grace Sam Alman interview I I don't care
1:36:03 right now or maybe ever um open AI has a
1:36:07 new agentic preview called
1:36:11 swarm okay here's the [ __ ]
1:36:17 thing if you run a
1:36:21 company that does things that are like
1:36:24 science fiction [ __ ] don't name your
1:36:28 product after dystopian [ __ ]
1:36:32 ideas don't call agents
1:36:36 swarms don't call the thing that you
1:36:38 look into to to give yourself human
1:36:41 identity the
1:36:43 orb don't design your your fancy
1:36:47 windowless van that holds 20 people to
1:36:50 look like something out of Blade Runner
1:36:52 Elon Musk like stop scaring us with your
1:36:55 stupid [ __ ]
1:36:57 names call it like sunshine and
1:37:01 fairies you got a PR issue here
1:37:04 everybody thinks the robots are going to
1:37:05 kill us and the first thing you come out
1:37:08 with around agents you call it swarms
1:37:17 really I've been waiting to hear your
1:37:20 take on Swarm my first take is rename it
1:37:25 how about how about um cuddle cuddle of
1:37:30 assisting
1:37:31 agents you just cuddle with them and
1:37:34 they do things for you no no we're going
1:37:37 to make a swarm of agents and we're
1:37:39 going to go out and swarm you up a
1:37:42 job it's like could could we not have it
1:37:47 be that
1:37:50 name all right I I'm telling you you
1:37:53 know what I need to I I I think I need
1:37:55 to do this I think I need to start a a
1:37:58 an AI branding company and just say okay
1:38:01 from Sam Alman okay Sam Alman first in
1:38:04 line let's deal with this 4010 4.0
1:38:09 40414 we're going to retire that like
1:38:12 nice try good logical
1:38:15 thinking we're going to call this one
1:38:17 GPT R for GPT
1:38:21 reasoning we're going to call this one
1:38:23 GP every
1:38:27 day canvas is okay but not
1:38:30 quite call it something close but we'll
1:38:33 make that
1:38:36 better and then just I just need I just
1:38:39 need every AI founder to just I need you
1:38:42 to step in line I need you to walk up
1:38:44 and you know what we're going to do this
1:38:46 like this like Lucy like The Doctor Is
1:38:48 In you put 10 cents in the cup but it
1:38:51 but now because of inflation it'll be
1:38:53 10,000 you put $10,000 in the
1:38:56 cup and then you tell me the names of
1:38:58 your
1:38:59 products why did he name it that exactly
1:39:03 so cam the first thing this is what this
1:39:05 is my commitment to all AI Founders when
1:39:09 you tell me the name of your products
1:39:11 the first thing I promise I will do is
1:39:17 go
1:39:19 really and that'll be our starting point
1:39:23 right cuz then I'll say really and
1:39:25 they'll go what and I'll go you
1:39:27 seriously don't know they'll be like no
1:39:31 and then I'll be like okay and then I'll
1:39:34 go to Netflix and I'll pull up Blade
1:39:35 Runner and I'll pull up this and I'll
1:39:37 pull up that and I'm see where the
1:39:39 Swarms are shooting lasers into people
1:39:41 eyes and they swarm around their heads
1:39:43 and it you know that that's why we're
1:39:46 not going to call it a
1:39:47 swarm do you know the killer bees in the
1:39:50 southwest that they they swarm and they
1:39:52 hurt doggies and people
1:39:54 okay so we're not going to do that oh I
1:39:57 we hadn't made that connect we just
1:39:58 thought cuz the a swarm Behavior yeah oh
1:40:01 no I understand how you got there but
1:40:04 we're not going to do that okay yeah
1:40:07 this is going to be called fuzzy cuddles
1:40:10 we're going to swarms is going to be
1:40:12 called fuzzy cuddles and and you have
1:40:14 your little buddies in a fuzzy cuddle so
1:40:17 the fuzzy cuddle is the group and you
1:40:19 got your buddies in the group and your
1:40:21 buddies do little fun things for you
1:40:22 they do fun tricks so we're going to
1:40:24 have buddies that do fun tricks in a
1:40:26 fuzzy cuddle all right
1:40:29 next that'll be $10,000 please move it
1:40:38 on God damn swarms the
1:40:43 [Applause]
1:40:48 orb it
1:40:50 hurts my head hurts good
1:40:54 [Applause]
1:41:05 not well well AI it's really just a
1:41:07 probability no it's not to anyone else
1:41:10 it's not to everyone else it's [ __ ]
1:41:14 magic they all think the robots are
1:41:17 going to kill them do you understand
1:41:19 that that's it doesn't it doesn't make
1:41:22 logical sense because the the the uh the
1:41:25 the the the probabilistic engine is it's
1:41:27 it's it's really just a a a a token
1:41:30 generation at scale and of course
1:41:32 massive scale and I mean it might appear
1:41:34 that it's actually thinking but it's not
1:41:36 it's not actually
1:41:37 thinking nobody knows
1:41:39 that they just see a thing that looks
1:41:41 like the thing that they saw in the
1:41:43 movie that killed all the
1:41:45 people and then you got the other people
1:41:48 going oh yeah these things if they get
1:41:51 it's going to be bad you got people
1:41:52 telling them Yep this is is the stuff
1:41:54 that you saw in the movie they're
1:41:59 scared no one is is no one in San
1:42:03 Francisco is there no one like me in San
1:42:05 Francisco going uh Bob uh hey come here
1:42:08 can can we uh hey Sam yeah could we
1:42:12 let's let's have a huddle can we can we
1:42:14 huddle could we have a huddle huddle up
1:42:17 let's let's just let's have a
1:42:21 huddle do you get that your freaking
1:42:23 people people out no
1:42:27 really like there's no one in San
1:42:29 Francisco that that has my
1:42:32 angst and and pronounces the word really
1:42:35 like
1:42:37 really no one they're all too polite
1:42:40 they're all too [ __ ] Maca machiato
1:42:45 chai makiato
1:42:47 out uh yeah half caffeine please thanks
1:42:50 half calf half calf
1:42:54 you need
1:42:55 moref you need someone in there worried
1:42:57 about what the [ __ ] you're naming your
1:43:05 products San Francisco is the Twilight
1:43:08 Zone llama just built a vehicle and left
1:43:11 my
1:43:12 system need more Gen X in their meetings
1:43:14 they do Lorie
1:43:16 K like like seriously they got to have
1:43:19 some Gen X in there where they're like
1:43:20 oh yeah I think this is kind of clever
1:43:21 no it's not clever it's stupid it's
1:43:25 stupid uh we don't like to use the sww
1:43:27 around here well I'm going to keep using
1:43:29 it until you make your names not
1:43:35 stupid don't make me break out the RW
1:43:38 I'll flip and do
1:43:41 [Laughter]
1:43:46 it you don't like to use the S
1:43:51 word let's explore some intellectually
1:43:54 challenged opportunities for
1:43:58 improvement no
1:44:01 really that's what you're going with the
1:44:04 orb the thing that scans your retina
1:44:07 you're going to call it the orb and
1:44:09 you're going to make it a giant Chrome
1:44:11 thing that sits on a
1:44:13 stick yeah that's kind of cool isn't it
1:44:16 no
1:44:26 I I can't
1:44:29 people now you've upset
1:44:33 me ULU RX Mel have you heard the pink
1:44:37 bow is missing Amelia's wife the pink
1:44:39 bow is missing I asked the MS about it
1:44:41 she said yes I used it I cannot find it
1:44:44 anywhere I don't know where she put the
1:44:45 [ __ ] pink bow now you might say but
1:44:48 Kyle couldn't you ask her I could but
1:44:50 the only time I remember that the pink
1:44:51 bow is missing is when I'm here
1:44:54 and I don't want to go out and get in a
1:44:56 fight about the pink bow while I'm in
1:44:57 the middle of one of these that would be
1:45:00 awkward honey I need my pink bow why do
1:45:02 you need a pink bow cuz I wear it on my
1:45:04 thing that's stupid I know it's
1:45:08 stupid can I have the pink B I don't
1:45:11 know where it is why don't you know
1:45:12 where it is where did you do with it
1:45:13 when you took it she I put it in my hair
1:45:15 but I don't know what I did with it
1:45:16 after like this is the conversation I
1:45:18 have to have at some point but I don't
1:45:20 want to have it live I mean sure it
1:45:23 would be entertaining for you but this
1:45:25 is my
1:45:31 life so ULU RX if you're in here
1:45:34 apparently I need a second pink
1:45:36 [Laughter]
1:45:38 bow because because apparently women
1:45:41 like
1:45:42 them I really did think this was my
1:45:46 thing even
1:45:48 though there are rumors that I don't
1:45:50 know how to wear them
1:45:53 RX yes yes we have CAU the thieves who
1:45:57 steal from
1:46:04 ULU
1:46:05 yeah so anyway my bow is missing so so
1:46:09 just imagine me with a a velour pink
1:46:14 bow reality TV time oh yeah this house
1:46:19 we thank you CEF
1:46:23 scouching around for a replacement bow
1:46:26 for
1:46:28 Kyle we we will send a kit with extra
1:46:33 bows I dare you to drive to work with it
1:46:35 on and make a Tik Tok post I'll [ __ ]
1:46:38 do it if I can find it I mean I really
1:46:41 don't have a problem looking like an
1:46:42 idiot as evidenced by this
1:46:45 [Laughter]
1:46:50 channel I need a haircut now look at all
1:46:53 that Luscious Hair look at this that's
1:46:59 fantastic I don't like to brag about the
1:47:01 locks but uh read them and
1:47:04 [Laughter]
1:47:18 weep yeah I know they have trimmers for
1:47:21 the eye I know I know I know
1:47:24 I don't want to hear it I am trying to
1:47:28 save the AI industry from itself with
1:47:30 its shitty naming and you're commenting
1:47:33 on my eyebrows and my nose
1:47:35 hair we've got to have priorities people
1:47:37 we've got to straighten this
1:47:49 out we will send it express to see the
1:47:52 bow Drive
1:47:53 I'm telling you next time I see the bow
1:47:56 it's coming with me to work did you like
1:47:58 my driving thing listen last time I
1:48:01 drove and made a Tik Tok Vicky yelled at
1:48:03 me she goes she goes don't make Tik toks
1:48:06 and drive so I had to make a comment
1:48:10 that I'm looking at the road I got my
1:48:12 hands on the wheel I did realize that
1:48:14 because I talk with my hands one of my
1:48:16 hands was not on the wheel very much but
1:48:18 that's not the
1:48:19 point my movie was great because I had
1:48:22 an awesome some character like you Kyle
1:48:25 thank you Joy I I am glad I could I am
1:48:28 glad I could tip your your uh your uh
1:48:32 your movie Over The Edge actually the
1:48:34 fact that I uh the fact that I yelled at
1:48:35 champy for singing in the middle in the
1:48:38 middle of my interview I thought that
1:48:39 was pretty solid you okay Kyle no I'm
1:48:42 not
1:48:46 okay they named their agents
1:48:50 swarms the first thing they come out
1:48:53 with the first thing open AI comes out
1:48:55 with they're they're level three AGI
1:48:57 they're like we got five levels of AGI
1:48:59 this is going to be
1:49:01 cool right chat chat Bots okay that was
1:49:06 fine chat Bots reasoning
1:49:10 reasonable
1:49:12 agents agents autonomous agents things
1:49:16 that assist you like
1:49:19 assistants what are we going to call
1:49:21 them I know
1:49:24 SWS
1:49:27 what what are you
1:49:30 thinking do you want people to hate us
1:49:33 and never try
1:49:35 [Laughter]
1:49:44 AI I I suspect that a plane is landing
1:49:48 now Kyle point0
1:49:55 swarms part of the reason I haven't
1:49:57 looked at swarms is because they called
1:49:59 it
1:50:02 swarms like I don't think I want to be a
1:50:04 party to
1:50:05 [Laughter]
1:50:10 this all
1:50:13 right I will commit to not yelling about
1:50:16 swarms anymore but really
1:50:21 really I could be a one-word consultant
1:50:24 you know what I should do I should
1:50:26 charge every major research lab $100,000
1:50:29 a year to come
1:50:32 in once every two weeks I'll commit to
1:50:36 this I'll come in for a half hour once
1:50:39 every two weeks for 100 grand a year I'm
1:50:42 going to do this for up to 20 companies
1:50:47 you're like that's a lot of money well
1:50:49 this is an important job
1:50:54 and I can come in person but I have to
1:50:56 fly first class or I can do a zoom
1:51:00 call and then you reimburse me for what
1:51:02 first class would have cost that's fine
1:51:04 too we can do it either
1:51:06 way and then what we do in that half
1:51:08 hour is I get on there and I'm like what
1:51:11 you cooking up and they're like oh we
1:51:13 got this feature and that feature and
1:51:14 that feature I'm like great and then and
1:51:17 then I say what are you thinking of
1:51:20 naming them oh we were thinking for this
1:51:23 this one we'd call it
1:51:25 swarm and then my only response will be
1:51:28 either okay if it's fine which it never
1:51:31 will be or
1:51:34 really and then they know if I say
1:51:37 Really they got to go rethink
1:51:40 it and if they don't have a lot of
1:51:42 products I'd be happy to explain why I
1:51:45 said
1:51:47 really I think that's worth a 100 Grand
1:51:49 a year
1:51:51 right really
1:51:54 the the previous one was called 4.0
1:51:57 you're going to call the
1:51:59 new Omni multimodal One
1:52:04 40 okay so it's for Omni you're that so
1:52:10 really yeah that's what we were thinking
1:52:12 uh
1:52:13 no no would be the answer
1:52:17 no and and then the next time I come in
1:52:20 because they override me and didn't
1:52:21 listen to me for that particular [ __ ]
1:52:25 cluster they come in and they well we
1:52:27 got this new reasoning model and what
1:52:30 are you going to call it 01 wait what
1:52:34 well yeah cuz it's like we're resetting
1:52:36 and and the O stands for open AI number
1:52:39 one like we're starting over wait but
1:52:41 didn't that o stand for Omni in the
1:52:44 previous version yeah but this is
1:52:45 different cuz it's new we're starting
1:52:47 over it's one so they won't cuz four
1:52:50 they won't look here that because
1:52:51 they'll go back here
1:52:56 really
1:52:58 really you does are other people in the
1:53:02 room thinking this makes
1:53:04 sense really like that's my whole job
1:53:08 I'm like the really
1:53:12 guy how about you call it
1:53:15 GP what's that stand for
1:53:18 reasoning it
1:53:20 reasons you just call it an R it's
1:53:22 different than four
1:53:26 oh look I'm getting rash I'm getting
1:53:29 hives yes no cam katk can I'm not good
1:53:32 I'm getting hives mommy mommy is that
1:53:35 the really
1:53:40 guy feel feel free to make the really
1:53:43 guy in the in the Irregulars Channel if
1:53:46 you want to make some really
1:53:48 images oh my God all right I'm sure it's
1:53:51 past our bedtime isn't it
1:53:54 sorry Brandon I didn't get to your [ __ ]
1:53:56 but we had important things to talk
1:53:57 about we had to talk
1:53:59 about old people thinking things are
1:54:03 still relevant in the world even though
1:54:05 they're 45 years
1:54:07 old we had to talk about shitty
1:54:11 naming Pro problems within I I mean
1:54:15 what's amazing with these companies
1:54:17 is they're literally creating technology
1:54:20 that's going to that's going to profound
1:54:23 ly impact the future of
1:54:25 humanity and they didn't spend $27 on a
1:54:29 naming
1:54:31 consultant come on come on please could
1:54:36 make it suck
1:54:38 less
1:54:40 well all
1:54:42 right I hope this has been informative
1:54:44 and helpful this is the AI learning lab
1:54:46 if you're new
1:54:48 here it doesn't get much better than
1:54:50 this
1:54:54 these are the good
1:55:00 times
1:55:04 Joey they didn't ask chat GPT for a lot
1:55:07 of good names yeah yeah that's the other
1:55:09 thing they who said that Lori
1:55:13 yeah they have a tool that they could
1:55:16 use they've got gp5 that they could use
1:55:20 they could have gone to GPT 5 and said
1:55:22 hey uh gp5 what are 10 ideas for names
1:55:27 that are not
1:55:29 this and it would have given them good
1:55:33 ones and all they would have had to do
1:55:35 is pick it oh that's
1:55:39 good let's call it magic that'll piss
1:55:43 off Pate that's fine I like it it sounds
1:55:45 it's like magic reasoning magic GPT
1:55:49 magic all right great G
1:55:53 think cuz it's thinking py it's not
1:55:56 really thinking okay whatever but
1:55:59 everyone else thinks it's thinking and
1:56:01 we said that when it when we do it it
1:56:03 says
1:56:04 thinking let's call it GP GP think GPT H
1:56:10 GP think GPT
1:56:16 think the
1:56:19 [Music]
1:56:21 Thinker would have been
1:56:24 better 01 what's the o stand for open AI
1:56:28 so it's a small o so your company name
1:56:30 is now going to have a small o oh no
1:56:31 it's going to have the Big O but it's a
1:56:33 small o so that small o is like the
1:56:35 other small o that stands for Omni
1:56:37 you're really
1:56:38 really all right I got to get out of
1:56:41 here I'm my blood pressure is I I'm
1:56:43 losing I can I can feel the hairs flying
1:56:46 out of my
1:56:48 follicles largely because I don't have a
1:56:50 pink bow to hold them in
1:56:54 cuz some
1:56:57 woman thought it was a good idea to use
1:56:59 the pink bow to hold her hair up while
1:57:01 she did her
1:57:03 makeup it's
1:57:14 exhausting all right I'm going to leave
1:57:18 now didn't I say that like 10 minutes
1:57:20 ago this is the 30- minute goodbyes
1:57:24 little housekeeping what's today
1:57:26 Wednesday today's Wednesday hump
1:57:30 day a't it amazing we got all these
1:57:32 weird ass things TGI Friday hump day
1:57:35 like hump day is like well we got over
1:57:37 it cuz you know our existence during the
1:57:41 week is so
1:57:43 horrible like we've got gloomy Mondays
1:57:47 hump day Wednesdays TGI Fridays like our
1:57:49 entire definition of the days of the
1:57:52 week are based on we [ __ ] hate our
1:57:57 jobs and then we have a technology that
1:57:59 comes along it's like hey we got this
1:58:01 technology it's going to do your job for
1:58:03 you and everyone's like I don't want to
1:58:04 lose my job oh that's lovely thank you
1:58:08 Vegas Mo see that was almost as pretty
1:58:10 as my pretty pink
1:58:13 bow see it just made me feel lighter all
1:58:17 of a
1:58:20 sudden our entire
1:58:22 dialogue we've got restaurants we got
1:58:25 restaurant chains named after the fact
1:58:28 that we [ __ ] hate our jobs and Along
1:58:31 Comes of Technology thank you Silver Fox
1:58:33 that's going to do our job for us and
1:58:34 we're like I don't want to lose my job
1:58:37 but you hate it you hate it so much
1:58:40 we've
1:58:41 named we we we've we've renamed the
1:58:44 entire days of the week based on how
1:58:46 much we hate
1:58:49 work but it's the only way I have to
1:58:51 Value myself well maybe that's the
1:58:54 problem now I know I'm being factious
1:58:57 and if you just lost your job because of
1:58:58 AI this Probably sounds
1:59:01 insensitive
1:59:03 but at some
1:59:06 point if you get curious about AI th
1:59:10 this is the this the this here's where I
1:59:11 get optimistic about this
1:59:16 stuff if you get curious about AI right
1:59:18 now if you hang out in places like this
1:59:20 in the AI salon and
1:59:23 you get active with this
1:59:26 stuff the thing that's scary that's
1:59:28 going to replace your job or the tasks
1:59:31 in your job if you get good at it you
1:59:34 get to use that technology too it's not
1:59:37 just your company that's going to use
1:59:38 that technology to replace you you can
1:59:41 use that technology to create a
1:59:43 competitor to put your company out of
1:59:45 [ __ ]
1:59:51 business or you could just have it write
1:59:55 poems I think I'll just make
1:59:58 music why not thank you Robert
2:00:01 Rossy all
2:00:04 right cookie get used to it what me just
2:00:07 being insane all right we are here
2:00:09 doesn't that alone make us curious yeah
2:00:12 oh yes it makes you quite
2:00:18 irregular all right so do me a favor
2:00:20 follow my channel subscribe to these
2:00:23 lives if you want to support me um and
2:00:26 uh and then go to the AI Salon join the
2:00:28 AI
2:00:29 Salon this is I think one of the best
2:00:32 things we can all do is be part of a
2:00:36 community like this community like that
2:00:39 Community where we get to know the other
2:00:41 people we get to know what they're good
2:00:43 at we get to know who they are we get to
2:00:45 know how they
2:00:47 work and we get to witness
2:00:51 them redefine who they are and what they
2:00:57 do and then when work comes along and we
2:01:02 need someone to do it with us we'll hire
2:01:06 them because we know they don't
2:01:08 suck because we're in a community with
2:01:10 them that's what this is all
2:01:12 about do you think we'll have more
2:01:15 companies go in and out of business due
2:01:17 to
2:01:18 AI yeah I think it's I I I
2:01:23 I think there's going to be some
2:01:25 companies that aggressively
2:01:28 go lean into Ai and I think they're
2:01:31 going to be
2:01:32 fine and then there's going to be some
2:01:34 companies that do the Kodak thing
2:01:40 right I think that the advertising
2:01:42 holding
2:01:44 companies run the risk right now of
2:01:48 being
2:01:51 Kodak at advertising holding companies
2:01:53 how they make their money is time and
2:01:55 materials the more people they have
2:01:57 working on projects for the more time
2:01:59 the more money they make because they
2:02:01 charge by the
2:02:03 hour clients now know that there's
2:02:07 technology that can do what those
2:02:09 agencies do in like 30 seconds and what
2:02:13 the agency will say is well but that's
2:02:15 just crap and it's not good and but we
2:02:17 need to look at it
2:02:21 and but at some point a small agency
2:02:24 with 10 people that are all AI
2:02:27 literate are going to show up at that
2:02:29 big client and go we'll deliver this
2:02:31 work for half the money deliver it twice
2:02:35 as fast and it'll be
2:02:37 better and one of those companies is
2:02:39 going to go we'll take that bet CU even
2:02:42 if you're wrong we don't like paying
2:02:44 these guys this much money so we'll just
2:02:46 save some money and the off chance that
2:02:48 you're any good and one of those 10
2:02:50 person companies is going to be really
2:02:52 good
2:02:53 and they're going to redefine that
2:02:55 industry and that could ENT that could
2:02:57 break an entire sector and so I think
2:02:59 we'll see a lot of companies completely
2:03:02 resist AI because it's an existential
2:03:05 threat to their business model not to
2:03:08 their business to their business
2:03:10 model and they're not going to be
2:03:12 willing to change that that's what
2:03:13 happened to
2:03:16 Kodak they invented the digital
2:03:20 camera and they marched it right out of
2:03:23 the executive suites and says not on our
2:03:29 watch we're a silver Halli company here
2:03:32 this is about
2:03:33 chemicals I think you should all know
2:03:35 that by now you take your little pixels
2:03:39 and you just March it down the street
2:03:40 there
2:03:41 buddy Marge bring me another
2:03:46 cigar so yeah so I think and and I think
2:03:49 that um some of those companies are
2:03:51 going to be okay but a lot
2:03:53 aren't interesting good perspective
2:03:56 thank
2:03:57 you it's changing business models period
2:04:00 it is and it's you know the companies
2:04:02 the companies that like like there's um
2:04:05 there's this guy in Boulder there's a
2:04:08 special effects house called $11 bill
2:04:11 and the CEO is this guy named Christian
2:04:13 Robbins Robbins I think Robins yeah um
2:04:18 he spoke at the AI
2:04:20 Salon he's
2:04:22 aggressively aggressively incorporating
2:04:26 AI into everything they
2:04:28 do and it you know they're having to
2:04:32 like duct tape stuff together but
2:04:34 they're now able to turn around effects
2:04:37 faster and faster and faster and as the
2:04:38 tools get better and better and better
2:04:41 they're going to be able to swap out
2:04:43 traditional techniques with new
2:04:45 techniques um so companies like that are
2:04:48 going to thrive I think
2:04:52 um and then companies that are just like
2:04:54 well no this is how we do things you
2:04:55 know we use we use you know this 3D
2:04:58 workflow and and we're never going to
2:05:00 use AI cuz it's intellectual property
2:05:02 theft and whatever they're going to use
2:05:04 whatever excuses they can use to avoid
2:05:06 it and they're going to get blindsided
2:05:09 they're they're not going to get
2:05:10 blindsided they're just going to be
2:05:11 whistling past the grave
2:05:15 graveyard while all the all the traffic
2:05:18 is running beside them really
2:05:20 fast so any
2:05:23 anyway all right I'm out of here all
2:05:26 right who's in here tonight we got cat I
2:05:28 see side hustle M Kyle you just gave me
2:05:30 a flashback to my first job they
2:05:34 had Chris oh oh oh Crystal cigar astrays
2:05:39 in the conference
2:05:42 rooms Sally bring me a whiskey
2:05:47 neat exactly
2:05:52 think two of railroads imagine if they
2:05:54 would have recognized they were in the
2:05:55 transportation business yeah Kodak
2:05:57 didn't realize they were in the memories
2:05:59 business they had the marketing a Kodak
2:06:03 memory the marketing was there but it
2:06:05 didn't work its way to the SE SE Suite
2:06:07 they didn't they didn't understand what
2:06:08 business they were in you guys I'm going
2:06:11 to Paris in the AM because of this
2:06:14 channel oh that's awesome and I I was
2:06:16 going to ask you about that what what
2:06:18 you were going for that's so cool that's
2:06:21 so cool all right I'm out of here all
2:06:23 right an Murphy did I just call you an
2:06:25 Murray I did an Murphy sorry I'm
2:06:28 tired but have fun in
2:06:30 gayer um I I would send you off with a
2:06:33 pink bow but there's a there's an
2:06:36 there's a
2:06:37 situation kakei side hustle Mimi Tobias
2:06:40 in the house ocean in the house um will
2:06:43 we leave the term you push or abuse AI
2:06:47 to the max you push wait will we have
2:06:50 the term you push or use AI to the max I
2:06:53 don't know maybe maybe I I think that I
2:06:56 don't think we're going to push AI I
2:06:58 think I think at best we're going to
2:07:00 collaborate with it and I think we're
2:07:02 quickly moving to a thing where we're
2:07:04 going to try to keep up with it we're
2:07:07 going to we're going to try to
2:07:08 understand what it makes possible I
2:07:10 think that's where we're headed we'll be
2:07:12 like uh Hey AI could could we play um
2:07:17 you
2:07:20 good I mean just go look at the Thing
2:07:22 Mark andreon did where uh he he put
2:07:26 $50,000 into this bunch of agent Bots
2:07:30 that were on a Discord server that
2:07:32 talked to each other and came up with a
2:07:34 meme a meme and then a meme coin and
2:07:37 then they created a cryptocurrency and
2:07:38 then they launched it and now it's worth
2:07:40 like $320
2:07:43 million hey can we play
2:07:46 could no all okay we'll be over here in
2:07:49 the human part
2:07:54 I think that's where we're
2:07:55 headed Kirk T in the house cam kaken in
2:07:58 the house great to see you Robert Rossy
2:08:00 thank you as always Mr it and Murphy
2:08:03 Drew and AI calling in from Down Under
2:08:06 Vegas Moxy great to see you I haven't
2:08:07 seen you in a while Joey in the house uh
2:08:11 live laugh love good in the house uh
2:08:13 Kyle oh yeah flashback to the cigars
2:08:16 very
2:08:18 nice Danielle in the house uhuh Sammy
2:08:22 Minister um Amelio's wife Daniel kecker
2:08:27 we found him his his showand tell images
2:08:30 I'm glad you're back on track um who
2:08:33 else we got let's
2:08:36 see archetypal
2:08:40 architect Vic
2:08:43 Van po or
2:08:45 Poff Emilio's wife he's asking Amelio's
2:08:49 wife if he's weird if you're asking if
2:08:51 you're weird I think we know the
2:08:54 answer not Saloon it's Salon thank you I
2:08:57 won't make that mistake again that's a
2:08:59 good
2:09:02 call all right everybody have a
2:09:05 fantastic night I hope you had fun
2:09:06 tonight I uh I don't know if I had fun
2:09:09 but I think I exercised some some demons
2:09:12 thanks for the laughs all right Lori K
2:09:14 great to see you peace out everybody uh
2:09:17 I will see you tomorrow same bat Time
2:09:19 same bat place peace thanks for
2:09:21 everything