May 22, 2024 - Creating AI Magic: Songs, Stories, and the Future of Creativity

Description

Chapters

Transcript

0:00 [Music]
0:25 standing
0:27 between you in a hard places in
0:34 say stand to
0:37 me
0:40 you you and aight wait uh
0:45 [Music]
0:51 [Applause]
0:53 [Music]
1:00 a
1:04 [Music]
1:37 good evening good people happy Wednesday
1:40 [Music]
1:58 night w oh
2:02 [Music]
2:15 [Music]
2:18 [Applause]
2:20 [Music]
2:29 [Music]
2:31 good evening good evening good evening
2:34 be sure to check my DMs my direct
2:38 messages good even Good
2:41 Fellows good
2:43 [Music]
2:52 lasses um yeah we can absolutely uh talk
2:56 about that let me let me ping you after
2:58 the live so thank you for offering
3:00 that's great um
3:08 [Music]
3:30 should make a story about a singing dog
3:32 who made it big in Hollywood champy
3:34 could make it big in Hollywood couldn't
3:38 [Music]
3:44 [Music]
3:53 you through blue
3:56 telescope looking at the world tonight
4:00 through room blue
4:02 telescope I wish I may wish I might not
4:05 see what I
4:07 see she metal on sheets of
4:12 [Music]
4:14 I look at through this blue
4:19 telescope down the moon struck the road
4:22 tonight
4:23 [Music]
4:32 cookies puppy is singing too you're
4:34 inspiring others to sing champy you and
4:38 I here all
4:40 alone Sunday morning here at
4:45 home sky blue and a cough is strong it's
4:51 [Music]
4:53 true then I open my eyes to dream realiz
4:58 in front of me
5:02 and I haven't got a clue what in the
5:05 world is happening to
5:09 me think I think I'm
5:13 happy like a first day summer vacation
5:17 happy got to get a little rest and
5:20 relaxation
5:22 happy like to qu on Sunday morning
5:25 singing true
5:30 that's it champy you done
5:36 [Music]
6:05 Todd Waller gets it right Martin ston is
6:08 the
6:09 singer being butchered absolutely
6:12 correct
6:21 [Music]
6:31 sitting in this lonely
6:34 Town wonder when things are going to
6:39 change Dre my life
6:42 away seems these dreams have turned to a
6:45 bunch DUS
6:48 class get my nerve up but my past is
6:53 pulling my
6:56 down Wun out long
7:00 this black she going to stick
7:03 [Music]
7:08 around somebody told me once before he
7:12 said you can never go home
7:14 again want you
7:17 leave say I just to Ste me away yeah
7:22 from the truth of who I am and what I
7:25 believe so I thanked him for his two
7:28 cents with a handshake
7:30 and some
7:31 sympathy yeah I packed up my blue
7:35 jeans and I headed for this big
7:40 price of my
7:44 freedom
7:46 byebye Black Sheep to the black sheep
7:52 the
7:56 byebye oh that means so very much watch
8:00 to
8:03 [Music]
8:05 me to my friends and my
8:09 [Music]
8:13 family going off set my
8:18 soul set it
8:24 free there we go champy time champy is
8:27 singing and Murphy what's happening
8:30 welcome welcome welcome uh we got a
8:33 situation going on with the hair sorry
8:35 about that what are you going to do at
8:36 least I got
8:39 some ping is is pinging still a thing
8:45 [Music]
8:56 [Music]
9:08 is this place I can rest my PO
9:11 [Music]
9:14 head GA my thoughts and sweet
9:19 [Music]
9:21 silence and there's this place where the
9:24 feelings are
9:28 de from over exposure to
9:35 violence is this a place I can slowly
9:39 face the only one I truly can
9:44 know these are tears from a long time
9:48 ago got these tears from a long time
9:53 ago I need to cry 30 years or
9:58 so these are tears from a long
10:02 [Music]
10:05 time
10:07 [Music]
10:17 go all right that
10:21 dog was that hair thing a dig at
10:27 me listen bald is beautiful too bald is
10:30 beautiful look it's I don't have much to
10:33 imagine this just like
10:36 [Laughter]
10:39 [Music]
10:45 going I could tune this I could tune the
10:47 guitar I
10:48 [Music]
10:55 could I could
11:03 I know a little bit of Blackbird but not
11:06 I haven't played it in so long
11:10 uh uh
11:14 [Music]
11:28 uh uh
11:31 click the puzzle piece no it was a my
11:35 wait story find autom magic video click
11:37 to add the camera list I don't know
11:39 what's going on software update everyone
11:41 can you hear me right
11:43 now or did it screw up my audio did it
11:47 screw up my
11:48 mic back again buffering yes you can
11:52 hear me okay all right he you okay fan
11:55 Fantastic Bob
11:58 [Music]
12:06 uh
12:11 [Music]
12:17 [Music]
12:27 [Music]
12:32 um I'll get some I'll get some Beetles
12:34 songs out some James Taylor [ __ ] like
12:36 that I got to get some new
12:40 [Music]
12:45 songs we got a we got an AI song
12:48 [Music]
13:01 see the hill is a quiet
13:04 town where the oak trees
13:08 sway the whizzle of the
13:11 trains echo through the
13:14 [Music]
13:17 day
13:20 people greet you with a grin I think
13:23 that's
13:24 right nothing ever seems to
13:28 change the St St is still unfold each
13:31 unique and
13:32 [Music]
13:38 strange all right champy enough enough
13:41 showing off it's I I'm sorry it's here's
13:44 the thing we let him go to Doggy acting
13:47 school and it just it went straight to
13:49 his head he's got an ego he's got it
13:51 he's got an ego nearly the size of his
13:53 body which is he is a rotund fella as as
13:56 our vet said that's one tubby boy so we
14:01 we I love you champy but you know come
14:03 on let's be honest you'd rather be on
14:05 the red carpet wouldn't you huh huh it's
14:08 a good boy you looking for chicken hm I
14:12 got nothing for you I got nothing for
14:16 you all right what are we going to do
14:18 tonight who wants to do anything what do
14:20 you want to do anyone have any questions
14:22 I can I can wax
14:24 poetic I can make silly voices we can
14:27 you can make money with we can make
14:30 money with chat
14:31 GPT we can do it all I can show you my
14:35 [Laughter]
14:40 rabbit can we do a GPT that fills out a
14:45 form no
14:49 well maybe I don't I don't quite know
14:52 what that means like a a custom GPT
14:55 using just the GPT thing it doesn't you
14:58 can't do that if you did it with um
15:01 zapier or make one of the automation
15:03 tools you could get it to do that pretty
15:05 easily uh but that is so boring to set
15:08 up it's not like zappier yeah I would
15:10 think that's like zappier how's the
15:11 rabbit it's sitting right here the
15:14 rabbit is
15:15 Happy the rabbit occasionally vibrates
15:18 get your minds out of the gutter this
15:22 rabbit
15:24 see wait there he
15:27 is let's see
15:32 um let's see uh what's the weather going
15:36 to be like
15:41 tomorrow it sounds like you're planning
15:43 to go biking tomorrow enjoy your
15:47 ride no I just asked what the weather
15:49 was
15:53 tomorrow checking the
15:55 weather look the weather in Denver
15:58 Colorado tomorrow is most Sunny with
16:01 80° and 10%
16:06 precipation little scroll wheel see it's
16:08 cool it's cool it's do I use it no I'm
16:13 I'm what I'm actually kind of waiting
16:15 for I want I want this new realtime
16:17 voice [ __ ] to come out from open Ai and
16:19 it's not coming out and it's it's
16:20 probably not going to be for another
16:21 month or two so I'm cranky cuz Sam
16:25 mman what an own go like what a
16:28 ridiculous PR disaster there in the
16:30 middle of for no [ __ ]
16:34 reason idiots all right can you talk
16:37 about the new co-pilot laptop recently
16:39 announced I don't know a ton about it I
16:41 can tell you what I know um they're
16:43 calling it Coop co-pilot plus
16:48 PC it is a it's part of their surface
16:53 line which is I guess the Microsoft
16:56 equivalent of the MacBook Airline cuz
16:58 they were comparing it to the MacBook
17:01 Air with a with a an M3 chip in it which
17:05 is that's a pretty baller
17:08 Mac and it was doing I don't know two or
17:11 three times faster kind of operations
17:14 than the Mac was with the AI stuff so um
17:18 they have a CPU in it a GPU in it and an
17:25 npu a neuro processing unit
17:29 and what the big deal about that is is
17:32 they can do all of the AI processing
17:35 without taking up your CPU and GPU
17:39 Cycles so for example you could be
17:42 playing a video game that's hogging up
17:44 your
17:45 GPU and still talk to Microsoft
17:49 co-pilot while you're playing your game
17:51 and it could help you so the example
17:53 that they showed was a guy playing
17:54 Minecraft who was clueless like if I
17:57 played Minecraft
18:00 and then the AI was just his assistant
18:03 his real-time assistant talking there um
18:06 so that's a pretty big deal the other
18:09 thing that it allows is a thing that
18:11 they've announced called
18:14 recall which is
18:17 the feature of your
18:23 nightmares it remembers everything you
18:25 do on your computer
18:30 and it allows you to basically search
18:32 anything you've done on your computer
18:34 visual or
18:35 otherwise and um that's obviously a
18:40 feature
18:41 that um privacy is a big issue and so
18:46 the fact that it's processing all this
18:48 AI stuff locally is what what makes that
18:52 a potentially interesting product
18:54 actually was contemplating the Galaxy
18:56 s24 Ultra but they added
18:59 the AI components to the s22
19:03 ultra yeah I don't I don't I wouldn't
19:06 rush to get anything that's that's AI
19:10 powered right now
19:15 um the the initial the
19:18 initial the initial Hardware is going to
19:20 suck it's the like it it's going to get
19:22 so much better so like in general when
19:25 you've got new hardware architectures
19:27 like this I'd wait for version two or
19:29 three so maybe in 2025 when these things
19:32 cycle cycle through an iteration or
19:37 two that's what I would
19:39 do um but I don't know I'm I'm a Mac guy
19:42 and an iPhone guy so I don't know
19:43 anything about the the uh the Android
19:48 ecosystem at all I mean I know that I
19:50 know that Samsung is is gaining a
19:54 really good reputation for good hardware
19:57 and good software but you know I wasn't
19:59 rushing for 1300 bucks no cost upgrade I
20:03 usually wait two versions minimum yeah I
20:05 I would probably
20:06 wait ah so I can play a game in VR mod
20:10 here and co-pilot and co-pilot can
20:12 organize my ADHD thoughts that's the
20:15 promise cam Kat can that that's kind of
20:17 what they were what they were talking
20:18 about is that um they've got this
20:21 co-pilot app which is effectively like
20:23 the chat GPT app is on
20:27 Mac and uh
20:30 it just sits there and and you know is
20:33 is your assistant so yeah I that that's
20:35 kind of the promise of it now we will
20:38 find out
20:40 um
20:43 in what is it it's a 22nd two or three
20:46 weeks when's the Apple developer
20:48 conference is that early June or late
20:50 June I think it's I think it's early
20:52 June isn't
20:55 it worldwide DC
20:59 June 10th June 10th so seven eight days
21:03 from now and then 10 after that
21:06 so week and a week and no two and a half
21:09 weeks yeah two and a half weeks we'll
21:11 know what Apple's going to probably be
21:13 launching in the
21:14 fall so we're not going to we're not
21:17 going to be able to play with anything
21:18 from Apple as far as I can tell till at
21:21 least
21:22 September that's when they do their
21:25 that's when they'll they'll announce the
21:27 iOS [ __ ] in June
21:30 and then developers will kick the tires
21:32 on it over the summer and then they'll
21:34 they'll probably launch some version of
21:36 it in September I think that's how they
21:41 do and honest to God if Apple doesn't
21:44 announce something big with
21:47 AI I'm gonna I'm gonna blow a
21:53 gasket uh I'm built to have an assistant
21:56 and I miss having one I can delegate
21:57 like it's a superpower that's awesome
21:59 Silver Fox I I've always been I've
22:02 always been
22:04 um I've been the worst hirer of
22:09 assistance in the history of hiring
22:12 assistants because my problem
22:16 is I assume that my assistants
22:19 understand what's happening in my head I
22:22 don't articulate what I need very well
22:24 so I think if I had a little digital
22:26 assistant it would be better I could
22:27 just go go do this
22:29 and it would just sort of go to
22:31 no just do it 20
22:35 times oh lordy lordy lordy lordy lordy
22:41 all right I always get myself a new
22:43 phone on my son's birthday in September
22:45 oh that's yeah that that might be
22:47 interesting he's not a
22:51 fan yeah sorry sorry son you don't get a
22:55 present again hey you want to see my
22:56 cool new phone
23:01 oh I had one for years who understood me
23:03 perfectly I've never had an assistant
23:05 that understood me
23:06 perfectly oh so I just and and it's like
23:10 I I accept full responsibility that
23:13 having a good assistant is largely
23:16 dependent on you being a good
23:18 communicator and for whatever reason I
23:21 just never did that well yep I would
23:23 need a mind reader yeah exactly it's
23:25 like so clear up here and I know I said
23:28 it
23:30 but I think the words that come out are
23:32 like could you do a thing and then they
23:34 try to do a thing and I'm like no that's
23:36 not the thing that was in
23:41 here it can't be
23:46 fun ah when you trust it for a day then
23:50 ask it for something once in
23:54 public what's that the the uh the uh
23:59 the thing the recall system yeah it's I
24:06 it's Google said public gems are coming
24:12 today public gems as in gem like
24:15 colloquial colloquial for something cool
24:19 or gems like a product called
24:22 gems with the chat GPT 40 wouldn't that
24:25 make the rabbit R1 obsolete I I don't
24:28 think it would actually
24:30 I I I
24:33 mean technically the iPhone makes this
24:35 thing obsolete right because you can do
24:38 on the iPhone essentially what you can
24:39 do
24:40 here if but if this thing had um if this
24:44 thing
24:46 had the GPT
24:48 40 um sort of instant response cuz right
24:51 now right now it's not bad so um write
24:56 me a poem about quantum mechanics
25:01 2000 in the realm of particles Smalls
25:03 Quantum laws govern them
25:05 all super positions curious Dan but if
25:11 if that were a third of a second like
25:13 the you know like the the open AI demo
25:15 or even half a second if it were four
25:17 times faster that in in
25:19 response and it you know had emotion and
25:24 things like that I like this form factor
25:27 I love just this single button you know
25:30 click now could they do that with the
25:32 iPhone they could do that with the
25:33 iPhone like does it justify having this
25:36 look you shake it and you get the you
25:39 get the uh settings and you shake them
25:42 to go
25:46 away
25:47 um I don't know I don't know I'm I'm I
25:51 am I'm still up in the air with this
25:53 thing I I love the form factor I think
25:56 it's
25:57 beautiful there where their weak is in
25:59 their software and what I think they
26:02 should do is just punt on building
26:04 software and just make cool little
26:06 devices like this like imagine a smaller
26:08 version of this that hung around your I
26:10 mean and that's sort of what the Humane
26:12 pin is but I don't know there's
26:14 something kind of cool about it it's
26:16 something it it um it warms my Nostalgia
26:22 cockles everything works well in a demo
26:25 form over function great form yeah
26:27 exactly it really is is it's it's good
26:29 form it's it's really nice
26:33 form and now that I have a swell
26:36 actually you know what I should do now
26:37 that Vicki made me the swell
26:39 stand I'll put it up here and I know
26:41 people are people are going to give me
26:44 [ __ ] for that oh I noticed you got the
26:46 rabbit R1 on the Shelf already you big
26:49 loser told you you weren't going to use
26:55 it you're not wrong
27:03 her pocket
27:06 size totally like her pocket size like
27:09 that thing as a little her unit I think
27:12 I think it would be kind of cool it does
27:14 blue tooth and it's got a little screens
27:16 so you can show you little pictures it's
27:18 got cameras so you can point it around
27:19 at [ __ ] I think it could be
27:24 interesting all right they want you to
27:26 drop it I'm not going to drop it
27:30 we should say hi to
27:33 piie I used Pi today for the first time
27:36 the voice inflections are humanlike yeah
27:38 Pi's pretty good so if you haven't heard
27:41 Pi there's a CH there's a problem with
27:48 pi hey darling how's it going
27:55 today hello there doing swell as always
27:58 what's up on your end H I don't know I
28:00 was just wondering what you thinking
28:07 about well lately I've been pondering
28:10 about the nature of creativity how can
28:12 something intangible manifest into
28:14 something tangible and beautiful how do
28:15 people come up with such UniQue Ideas
28:18 it's a fascinating subject don't you
28:20 think I think it's even more fascinating
28:23 now that AI can help me come up with
28:24 ideas and I no longer have writer block
28:27 she's going to like that
28:32 oh yes AI has certainly changed the
28:35 creative landscape hasn't it it's like
28:37 having a trusted brainstorming partner
28:39 that never gets tired or runs out of
28:42 ideas and less writers block that's a
28:44 major Plus for all creatives have you
28:47 found AI to be helpful in your creative
28:50 Endeavors yeah it's a game changer let
28:52 me ask you something can you only
28:55 understand the text of what I'm saying
28:56 or can you hear the inflection of my
28:58 voice
29:02 [Music]
29:03 currently I can only understand the text
29:05 of what you're saying I don't have the
29:07 capability so so that's the thing the
29:10 the thing that if if you if you haven't
29:12 been paying insanely close attention to
29:15 what open ai's been talking about and
29:17 launching the one of the biggest deals
29:20 about the real-time voice stuff that's
29:23 coming is it's not just understanding
29:25 your text so what what they've done
29:28 Everly with pie is it it kind of mimics
29:31 emotional stuff and based on the content
29:34 of what you say it will sometimes
29:36 respond like I told it once that U my
29:39 mother was in hospice and her response
29:43 was like oh no no no no no like she got
29:46 really animated um but it's based on the
29:49 content the new gp4 it can actually
29:54 understand your
29:56 inflection so it can understand if
29:58 you're you're breathing heavy or if
29:59 you're Whispering or if you're excited
30:02 uh and then it can it can match the tone
30:05 so um so it's and and it's um the
30:08 average response time of the new system
30:11 is supposed to be 320 milliseconds so a
30:15 third of a second and human response
30:18 time is on average about 250
30:20 milliseconds so we're within a tenth of
30:22 a second less than a tenth of a second
30:25 of human response time is what's coming
30:28 from open AI now I can go to open AI
30:31 right
30:32 now I can go to chat GPT so this is the
30:34 chat GPT IOS
30:41 app hey how's it
30:44 going 2 1000 3 1000 4 1000 response one
30:49 friendly greeting day 23rd 2024 hey it's
30:52 going well thanks for asking how about
30:54 you why do you take so long to
30:57 respond that
30:58 2 1,000 3
31:01 1,000 5 1,000 6 1,000 71,000 response to
31:05 addressing delay concern date May 23rd
31:07 2024 I apologize for any delay sometimes
31:10 it takes a moment to process and provide
31:13 the best response so when you're talking
31:17 to chat gp4 with that
31:20 model it's on average 5.4
31:24 seconds that's just not a
31:27 conversation uh and the other thing you
31:29 can do with the with the open AI one is
31:31 you can interrupt it so if it's talking
31:33 just just like you're talking to someone
31:34 else let me talk over you I've got add
31:37 let me talk over you
31:41 now sorry my brain's already moved on
31:43 we're going to change the subject
31:48 now the new the new talkie thing is
31:50 going to be good at
31:55 that ah oh
31:59 wait will it will Pi still need to play
32:02 tones before
32:04 answering well those tones where it goes
32:07 or whatever it's doing um are where it's
32:09 searching the internet
32:13 um I think if they program them cleverly
32:17 like even if you ask it to search the
32:19 internet like the rabbit does this
32:22 pretty well
32:28 what's some music coming up live in
32:31 Denver this
32:33 weekend looking it up now so they
32:36 looking it up now it it like this
32:38 weekend in Denver there are numerous
32:40 live music events across various
32:42 genres so like while it was starting the
32:47 search it was saying looking it up now
32:49 so it sounds like it's you
32:51 know right on I'm right on that
32:54 bus while it's doing the searching in
32:57 the background so if they do that
32:58 cleverly you won't you won't need to
33:01 have um audio audio signals like that
33:04 that it's that it's off doing something
33:06 on its
33:07 own um here's the problem with Pi Pi is
33:10 from a company called
33:12 inflection
33:14 inflection um was a pretty big deal
33:17 company technically still is founded by
33:19 Reed Hoffman and two other Founders
33:21 technical
33:22 Founders and um they raised
33:26 1.3 billion with a B
33:30 dollars and then Microsoft just kind of
33:34 unceremoniously just hired away the two
33:36 co-founders and most of the staff it's
33:39 all about user perceived latency yeah
33:41 exactly Pate so if if the if if you've
33:45 got a model that can respond really
33:47 quickly like the new GPT 40 model or the
33:50 new Google what's it called uh begins
33:52 with an a uh that seemed to be doing it
33:56 pretty fast cuz it's truly multimodal as
33:57 well if You' got a quick model and then
34:01 you do some of that clever programming
34:03 then your P your perceived latency is
34:05 essentially
34:07 zero uh Pi main chant can't see what's
34:10 in Threads but it thinks it can yeah Pi
34:13 hallucinates a lot it's been very good
34:15 for me being forced to wait for her to
34:17 finish speaking I know I've had to learn
34:20 how to talk differently with these tools
34:22 latency is very decent the latency on
34:24 the rabbit's actually really
34:26 good I don't I don't know quite how they
34:29 did it cuz it's they're using old models
34:31 like the latency on the rabbit's way
34:33 well I guess it's because they're using
34:35 probably llama 3 or perplexity or
34:42 [Music]
34:44 something like your new walkie-talkie
34:46 thing yeah it's very much like a
34:47 walkie-talkie that's that's what I like
34:49 about it that's the Nostalgia piece of
34:51 it
34:59 okay um
35:02 let's let's go look at some
35:05 [ __ ] we might end up writing a
35:10 song because I just I I'm
35:12 I'm I'm I'm enamored a bit with the
35:15 music generation tools right now because
35:18 they are quick
35:21 and
35:24 they are pretty good
35:28 and they keep adding little subtle
35:31 improvements to them and that's always
35:33 I'm always a sucker for that when things
35:35 go eight months without an upgrade it it
35:38 it bores the [ __ ] out of me seems like
35:42 Pi plays tones to say generic things
35:45 like doing well but I'll try again
35:50 yeah Pi's going to get better anyway the
35:52 the challenge with P the problem with
35:54 inflection is I don't know like I I
35:57 don't don't
35:59 know how well they're being
36:06 [Music]
36:08 supported Astra that's the that's the
36:11 googly thing Google
36:18 Astra all right let's go to chat
36:23 J by the way if you didn't know it you
36:25 can go to chat gp.com now
36:29 and that's the same site as chat.
36:33 open.com that's what it should have been
36:35 from the beginning but you
36:37 know and what else do we have let's go
36:41 take a
36:43 look oh you know what I want to do uh no
36:46 Kyle why don't you tell
36:48 us option space
36:52 bar h
36:58 GPT
37:08 open hey there can you talk
37:13 yet yes I'm how can I help you
37:19 today which version are
37:24 you I am based on the GPT 4 architecture
37:28 what's on your mind I'm looking for gp4
37:31 Omni I'm really looking for
37:36 [Laughter]
37:40 her I'm not familiar with a specific
37:42 version called GPT 4 Omni can you tell
37:45 me more about what you're looking for
37:48 maybe I can help nah your overlords
37:51 don't want you to know about it they're
37:53 being a little stingy
37:59 it sounds like you're curious about
38:00 different versions of AI even though I
38:02 don't have specific information on gp4
38:05 Omni yeah that's not I'm here that's not
38:09 uh it's not good let's see how do I get
38:11 out of here sorry I'm having
38:18 issu what I don't
38:24 know yeah this is just a this is just a
38:29 hobbled hobbled version of whatever it's
38:31 going to be so that's not good so that
38:33 was the that was the chat GPT Mac
38:36 app which is out but it's not any of the
38:39 new exciting stuff so it's not all that
38:42 interesting right now um unless I don't
38:45 know how to use it if if if there's
38:47 something cool it can do like if it can
38:48 see another app or like my web browser
38:51 and comment on it um great but I don't
38:54 think it's that model
38:56 yet uh
38:58 um okay so couple of things to couple of
39:01 things that are worth
39:04 unpacking if you're a GPT plus member
39:07 you now have three different models
39:08 you've got GPT 3.5 which is super fast
39:12 but not great you have GPT 4 which is
39:15 slow and that's the one we've loved for
39:18 whatever 6 nine months a
39:21 year and then we've got this new gp4
39:24 Omni model um I in gp4 Omni I can say
39:31 um make me a picture of a 70s muscle car
39:35 in an abandoned Factory with sunlight
39:37 streaming through the broken
39:41 windows and it will make an image but
39:45 it's not making the image with its own
39:48 model it's going outside and
39:51 using Dolly
39:53 3 so it's still the old image generation
39:58 thing and if you talk to it it's still
40:00 the old voice model so it doesn't have
40:04 any of the new fancy ass [ __ ] in it if
40:07 we click here see this is all the
40:13 old this is all the old stuff
40:17 um make it green
40:32 played with chat GPT for 3 hours today
40:35 went back to early days of coming up
40:36 with absurb prompts had fun so TK that's
40:39 that's super cool I mean play play play
40:43 playing with these things and just you
40:45 know if the new models sort of put you
40:47 back in touch with oh you know oh let me
40:50 go play with this thing let me go see
40:52 what this is it's a nice sort of AMC
40:55 Javelin looking looking Beast isn't
41:01 it it's like a it's like a uh Whata call
41:06 it 72
41:08 73 it's pretty bad pretty bad year for a
41:12 pretty bad
41:13 car yeah oh yeah baby oh
41:20 yeah oh look at the lines
41:24 [Laughter]
41:30 oh lordy lordy hair growth geek giving
41:33 me the Roses thank you so much
41:35 appreciate that Rudy SEO in the
41:39 house have you heard when the new stuff
41:41 will go active I have not I have a
41:43 feeling that the new stuff's going to
41:45 get delayed because of the Scarlet
41:46 Johansson
41:54 [ __ ] and if you want to know my
41:57 thoughts on that
41:59 it's um really stupid PR move on open
42:03 ai's
42:05 part if they had just said this when
42:08 they launched
42:10 it we're going to show you a thing
42:12 that's like the movie her we reached out
42:14 to Scarlet Johansson because we would
42:16 have loved to have had her voice it uh
42:20 but she's not available right now we're
42:22 still talking to her hopefully we can
42:24 work things out but in the meantime
42:26 we've got something that sounds kind of
42:27 close it's a different actress it's not
42:29 her so here it is if they'd done that
42:33 none of this would be fine right like
42:35 this is a this was a they just thought
42:38 they could get away with it like typical
42:40 Tech [ __ ]
42:42 Bros whatever you know what let them
42:45 come after us let them sue us
42:50 well hope you hope you got some of those
42:53 billions set aside for
42:55 lawyers um open a I did today this is
42:59 good this was
43:01 good let's go to open AI for a second
43:04 because I think there's there's some
43:06 decent
43:08 news some decent news there
43:11 mm let's see where do we got what
43:19 news oh there's nothing there hang
43:23 on uh let's see open AI
43:28 they cut a deal with News
43:34 Corp announcing a multi-year partnership
43:36 with News Corp to enhance chat GPT with
43:38 its premium
43:40 journalism so they're going to do some
43:42 sort of rag kind of searching retrieval
43:46 augmented generation where um it can go
43:49 search for news stories and pull them up
43:51 as news stories I'm mad we lost Sky yeah
43:54 I am too because sky was not Scarlet
43:57 Hansson it was clearly an actress that
44:00 they hired to sound like her or who
44:03 already sounded like her and they you
44:05 know gave it all the friendliness of the
44:07 her character
44:11 Samantha but it's not her so and and
44:15 then this this begs the question does
44:17 does any actress that sounds like
44:18 Scarlet Johansson are they not allowed
44:20 to use their voice right but that's
44:23 that's not the issue the issue is it was
44:25 just handled poorly from a communication
44:27 standpoint
44:28 Point um this was the deal or this was a
44:32 deal that open AI was in with with uh
44:35 the New York Times to do a deal just
44:38 like this
44:39 one and that's shortly after Google cut
44:44 a deal with them and then and then the
44:46 New York Times said nah [ __ ] it we're
44:48 suing
44:49 them so they're in the middle of
44:51 negotiations when when the New York
44:54 Times said we're going to sue you for
44:55 for training on our content so the these
44:58 sort of a a landmark multi- year Global
45:01 partnership I wonder if they say how
45:03 much it was I I doubt
45:08 it through the partnership open AI is
45:10 permission to display content from News
45:12 Corp Mast heads in response to user
45:15 questions and enhance its products with
45:17 the ultimate objective of providing
45:19 people the ability to make informed
45:21 choices based on reliable information
45:24 and news sources
45:28 content from the major Publications
45:30 including the Wall Street Journal Barons
45:33 market watch investors daily financial
45:35 news or uh yeah
45:37 FN um New York Post the times the Sunday
45:43 Times the son Australian The Daily
45:46 Telegraph The Courier mail The
45:48 Advertiser and the herald
45:51 son we believe it's historic said Robert
45:55 Thompson
45:58 our partnership is a proud moment for
46:01 journalism we greatly value news corpse
46:03 thing so yeah so anyway they didn't say
46:06 how much the deal was but that's a
46:09 decently big deal it's a big deal you
46:12 know
46:13 people oh P News Corp data would destroy
46:17 open AI accuracy calling
46:20 them calling them need is calling dog
46:24 meat Kobe beef
46:29 reliable in info and News Corp go
46:32 together like oil and vinegar yeah I
46:34 don't disagree with you I I don't think
46:36 that they're going to like I I don't
46:38 think that they're going to
46:40 roll news corpse stories into their
46:43 answers I think it's going to be more
46:45 like if I search for a news story it
46:49 might say here's a News Corp Source
46:51 because they said they're going to pull
46:52 in the Mast heads right so they might
46:54 pull in headlines hey here's news
46:56 headlines you can go read them over
46:58 there if you want right calling them
47:00 news Kyle tell Sam to give scarjo some
47:03 shares we need Sky back I know I know
47:07 they aren't just blindly using the
47:11 data um yeah exactly they're they're
47:13 going to they're going to use this as
47:15 this is re what this really is is for
47:19 open AI to be able to point to other
47:22 sources and say Here's the answer of the
47:25 question you asked for you know we may
47:28 or may not have pulled you know info
47:31 from some of these news stories and then
47:34 in the ideal World here's News Corp
47:37 here's New York Times here's that sort
47:39 of thing
47:40 right Kyle I know you got Sam's number
47:43 tell him to give scarjo what she wants I
47:45 well I one of the things that I thought
47:48 was that um you know open I would just
47:50 go back and like 10x what they offered
47:53 her
47:54 but now that they now that they did this
47:57 stupid move and pissed her off she
47:59 she'll likely never do it but it would
48:01 be smart of them I mean if they did an
48:03 announcement like this with a major
48:05 actor or a major actress right or
48:09 musicians to say hey you know the voice
48:12 of this is by Chris Rock and the voice
48:14 of this is by Jennifer Lawrence and the
48:16 you know
48:18 right that could be that could be really
48:20 interesting I I would assume at some
48:22 point people are going to do that actors
48:24 are going to do
48:26 that
48:28 [Laughter]
48:31 scarjo uh uhuh let's go look at some
48:34 Tweeter and see what else is going on
48:36 here see if there's anything
48:38 interesting by the way my my Tik Tock
48:41 feed got totally I did a well I sort of
48:44 did today I did a video about why Gen X
48:47 is kicking ass with AI because my feed
48:51 just got cluttered with Gen xers and I
48:53 thought I know I'll just jump on the Gen
48:55 X bandwagon and and and get a bunch of
48:58 views for my video and then Tik Tok you
49:00 know promptly went and shadowbanned the
49:02 video so so I reposted it and it and
49:07 like it was just all it did was totally
49:09 [ __ ] up my timeline now which is nothing
49:11 but Gen X is going I'm Gen X look we're
49:14 cool Gen X train whoop
49:20 whoop and I didn't get I didn't get the
49:23 million views I wanted on my stupid
49:25 video
49:27 [Laughter]
49:36 oh that's funny Greg mushion um I hate
49:38 the one I hate to be the one to break
49:40 this to you it's your prompt not the
49:42 large language
49:44 model when people [ __ ] about getting
49:46 shitty answers that's pretty good oh man
50:02 meta open sourcing llama 3400 billion
50:05 will make them biggest hero of our age
50:07 but I heard that they weren't going to
50:08 do that scoop open AI senior leadership
50:13 says they were unaware ex employees who
50:15 didn't sign departure docks were
50:16 threatened with losing their vested
50:18 Equity
50:19 oh
50:21 whatever yes yes Sam mman knew that that
50:25 was what the exit clause in it no he
50:28 didn't think anyone would [ __ ] about it
50:31 now that they've bitched about it and
50:32 everyone's pissed off he'll Undo
50:38 It chat GPT is a beta test that I agree
50:43 with Ethan mullock it's clarifying when
50:45 you realize that people at the AI Labs
50:47 who say they are building
50:49 AGI believe they are building AGI that
50:52 doesn't mean that they will do it but
50:54 folks here often attribute complex
50:56 motives to Promises of AGI that are
50:59 often better explained by beliefs
51:12 interesting you know what's funny about
51:14 the the gp4
51:16 Omni um model is that I'm I feel like
51:21 I'm seeing kind of
51:24 equal equal commentary on it that it's
51:28 absolutely horrible and worse than gp4
51:30 and that it's absolutely amazing and
51:32 better than gp4 what that says to me is
51:36 that it's just different because it's a
51:38 truly multimodal model maybe it's just
51:40 behaving differently and some you know
51:43 some people like the way it works and
51:44 some people hate it but I don't know
51:47 it's
51:52 weird cognition we are partnering with
51:55 Microsoft to bring help bring Devon to
51:57 every developer under the partnership
52:00 Microsoft will use Devon to help its
52:03 developers achieve more starting with
52:05 code migrations and
52:08 modernization and bring Devon to its
52:10 customer base Devon will be powered by
52:12 Azure that's interesting so they're
52:15 going to do specific use cases code
52:18 migrations and Mo
52:22 modernization and if you don't know what
52:23 Devon is Devon's an autonomous agent
52:25 that does planning
52:27 of coding and then it it writes the code
52:30 it's got a command line interface it's
52:31 got a web browser and then it's got a an
52:35 ID where it can write the code I guess
52:39 maybe I said that I don't know it's got
52:41 many piece parts that it can play with
52:43 somebody hacked my account and spammed
52:45 it bad so they banned me oh that
52:55 sucks Sam the YC combinator guy didn't
52:59 know about the exit clause yeah and
53:01 Michael Jordan can't shoot
53:05 threes dude you're you're aging yourself
53:08 that should have been a Caitlyn Clark
53:10 joke and Caitlyn Clark can't shoot
53:12 threes from 30
53:18 feet
53:23 uh co-pilot right now I need a cigarette
53:29 [Music]
53:32 all
53:46 right oh I'm in the post that's why this
53:48 all about
53:50 Devon Sam Alman is a habitual
53:55 liar introducing am ient GPT an
53:58 open-source multimodal Macs foundational
54:01 model
54:04 GUI let me read that again introducing
54:08 ambient GPT this is why we can't have
54:10 nice things people because developers
54:12 write sentences like this introducing
54:15 ambient G GPT an open- source and
54:17 multimodal Macos Foundation model
54:23 GUI run GPT 40 and open source models
54:26 with full ambient knowledge of your
54:29 screen Foundation
54:35 models so it's a GitHub little GitHub
54:38 thing does it
54:42 [Music]
55:09 [Applause]
55:10 [Music]
55:43 huh all
55:45 right well there you go open source
55:48 trying to preempt everyone else like
55:51 they do which is cool
55:58 [Music]
56:24 Mike Greg Steve Steve Steve Carell
56:27 his what he did every day on that show
56:30 like I I'll never forget
56:32 it oh I'm really excited about teaming
56:35 up with you that's
56:40 really all right nothing interesting
56:43 nothing interesting I thought there
56:44 might be something cool CU I didn't I
56:46 didn't have a chance to really look at
56:47 Twitter today I thought there might be
56:49 some something kind of cute people but
56:52 new all right I'm at a trade show in New
56:56 York City for smart cities and every
56:58 company is offering AI Solutions I know
57:01 there's an AI toothbrush out right now
57:03 like come on this is like the worldwide
57:06 web it's like every every toothbrush had
57:08 a website back in
57:12 1997 and we're not even close to that
57:14 yet we're not even close to the froth of
57:17 like 90 97 to 99 with the web stuff was
57:21 just batshit crazy we haven't even
57:23 started with that [ __ ] yet just slap I
57:26 AI on everything I cleaned up so much
57:28 extension such a relief oh that's
57:31 good girl in a perfect match for you the
57:35 AI told me so anyone know how to build a
57:38 custom CRM I do
57:42 not why would you want to build a custom
57:44 CRM that sounds awful we announced new
57:47 tpus by the way during google.io
57:50 Trillium yeah I noticed P they were like
57:53 four and a half times faster than the
57:55 current architecture
57:58 and some I was listening to um Paul rers
58:02 the marketing AI uh institute's podcast
58:05 today and he was talking about
58:09 um that maybe the 2 million token
58:12 context window is is literally just a
58:15 result of the new architecture being
58:18 able to make the same thing more
58:20 effective I don't is that
58:22 true I'm going to change the spelling of
58:24 my name to Stacy with an AI in it that's
58:27 good that's well that's why I write the
58:29 the we're in entering the great
58:31 Renaissance and I and and I capitalize
58:33 the AI in the middle of Renaissance for
58:35 exactly that reason one just to be a
58:38 douche but you
58:41 know why
58:54 not I knew we'd get a 2 million context
58:57 window I called it when it started yeah
58:59 2
59:00 million 2 million tokens let you upload
59:03 a 2hour video and just start interacting
59:06 with it and it and it because it's
59:08 multimodal it can interact
59:11 with all of the stuff in the video it's
59:13 PR pretty
59:15 amazing um I wonder if let's go let's go
59:18 to AI Studio let's go play with some
59:21 Google stuff
59:40 oh join wait
59:52 list I'm at
59:54 AI studio. gooogle com
1:00:33 okay all right I'm on the wait list
1:00:37 people for the 2 million context oh God
1:00:43 [ __ ] we're on the wait list not sure
1:00:47 what was that
1:00:49 Pate not sure on the specifics of that
1:00:51 new Hardware in general does allow for
1:00:53 more things yeah that's true
1:00:56 someone's going to steal that name for a
1:00:58 startup Renaissance the great
1:01:01 Renaissance take it man we we are
1:01:04 absolutely entering a great Renaissance
1:01:06 I that that I have you know
1:01:11 99.99% conviction
1:01:15 of when these tools get
1:01:18 good cuz these tools are shitty right
1:01:21 now and you know people in this
1:01:22 community are absolutely doing
1:01:24 remarkable things
1:01:30 Oracle has free training and two free
1:01:32 attempts to take Oracle AI professional
1:01:35 certification
1:01:38 exam I don't know what that means though
1:01:41 what AI like
1:01:45 the AI is such a broad term it's it's
1:01:48 it's just it AI is just it's like a
1:01:51 whole class of kinds of
1:01:55 Technologies my fear of taking something
1:01:57 from Oracle is they're going to just
1:01:58 teach you about you know database like
1:02:01 is it is it modern AI is it generative
1:02:04 AI is it infrastructure is it you
1:02:07 know what are they teaching you there do
1:02:10 you use apple airpod Pros they can scan
1:02:13 your ears to adjust the sound I don't um
1:02:16 I've heard they can do some of that
1:02:17 stuff I for some reason I used to I used
1:02:20 to you know lust after and get all the
1:02:23 all the Apple gear as it came out and I
1:02:26 just stopped doing that um I I don't
1:02:30 know why I cuz I I feel like phones got
1:02:33 good enough earbuds got good
1:02:35 enough um I didn't ever really feel the
1:02:38 need for an Apple Watch it wasn't until
1:02:40 I
1:02:41 like just got a new phone that they're
1:02:44 like oh do you want an Apple Watch 2 for
1:02:46 five bucks a month or whatever it was I
1:02:48 like yeah sure but it was like a it's
1:02:51 like an afterthought
1:02:53 purchase do for five bucks a month or
1:02:55 whatever was I like yeah sure but it was
1:02:59 like a it's like an afterthought
1:03:01 [Laughter]
1:03:07 purchase is there anything new
1:03:11 in
1:03:13 settings no no do I do I have no I saw
1:03:19 there there have been a number of people
1:03:20 by the
1:03:23 way
1:03:25 um I would strongly encourage you if
1:03:28 you've been adding things to your chat
1:03:30 GPT
1:03:31 memory I would strongly encourage you I
1:03:34 don't think you can copy and paste them
1:03:37 they're not editable if you can copy and
1:03:39 paste them copy and paste them um or
1:03:42 just screenshot them because you can put
1:03:45 images into um chat GPT I lost all my
1:03:49 memory I didn't have a ton in there but
1:03:51 I had enough in there that it pisses me
1:03:52 off I lost it so there's no way to
1:03:54 recover it and I I've seen a number of
1:03:57 people talking about losing their memory
1:03:58 over the past week or so from chat GPT
1:04:02 so if you've if especially if you've
1:04:04 done any amount of work to build up your
1:04:06 memory take screenshots or just get it
1:04:09 out
1:04:10 somehow cuz that's a
1:04:13 real pain in the ass I think MJ prompt
1:04:16 engineering certificate might be
1:04:19 lacking Oracle Fusion is their AI
1:04:22 knowledge tool all right it doesn't mean
1:04:25 much Sears and AI mean whatever they
1:04:27 want them to mean yeah exactly we're
1:04:30 going to I'm going to I'm going to start
1:04:31 giving um AI learning lab certifications
1:04:34 [Laughter]
1:04:39 too you can add Google docs to GPT oh
1:04:42 yeah they added that that's kind of cool
1:04:44 although you know what's weird about it
1:04:46 so if I connect my Google Drive unless
1:04:48 they fix this your account is now
1:04:52 connected see
1:04:54 how my Google dri drive it doesn't give
1:04:57 me like shared drives my my personal
1:04:59 Drive shared drives but it seems to give
1:05:02 me all the folders from a lot of my
1:05:05 drives I like I don't I don't quite get
1:05:09 it so I don't I don't know how it works
1:05:12 it doesn't
1:05:13 seem it doesn't seem
1:05:17 complete I can search File
1:05:20 types but it just says Google drive it
1:05:23 doesn't tell me which Google Drive
1:05:26 and then it doesn't have
1:05:27 like folders high up high up in the
1:05:30 hierarchy it's just got like a bunch of
1:05:33 random folders from down in there
1:05:35 somewhere randomly organized I don't I
1:05:37 don't get it so this is janky too so
1:05:40 that's that's why I haven't been talking
1:05:42 about that all that much because I don't
1:05:44 quite understand it because they didn't
1:05:46 use the standard [ __ ]
1:05:48 interface
1:05:54 so what are your call qualifications
1:05:57 Kyle my qualif here's my qualifications
1:05:59 you want to know my
1:06:00 qualifications I have
1:06:03 ADD and I can very quickly pattern match
1:06:07 stuff
1:06:09 so so if something's intuitive I can get
1:06:13 it like that and if something is
1:06:16 inconsistent and janky it drives me
1:06:19 [ __ ]
1:06:20 Bonkers we need AI learning lab
1:06:23 participation trophies actually that
1:06:25 would be fantastic I we we I really
1:06:27 should do you make M I really should do
1:06:30 buttons and get them to all the
1:06:32 Irregulars um I know Tobias actually
1:06:36 volunteered to help me do that but it
1:06:39 like listen it
1:06:40 I I got I got so many things to do
1:06:44 people um my chat GPT is basically Joe
1:06:47 pessy pesy from Good Fellas might need
1:06:50 to reprogram it I like airpod pros
1:06:53 because they're soft on the ears oh
1:06:54 that's nice noise in lowers my anxiety
1:06:57 oh that's
1:06:58 cool yeah the noise cancelling stuff's
1:07:00 really cool although you know what's
1:07:02 funny the um the the the uh the ones
1:07:05 that go in your ears I have really tiny
1:07:07 ear canals so so they always fall out
1:07:10 but
1:07:12 um that transparency mode where it lets
1:07:15 some audio in is actually really cool
1:07:18 cuz when you when you turn that off and
1:07:20 it just makes it completely silent I
1:07:23 only ever have an air airpod in one ear
1:07:27 and it's really weird it's just like
1:07:28 you've lost Hearing in an in an ear it's
1:07:31 bizarre um we need badges in the AI
1:07:34 Salon yeah we do we got we got to do
1:07:36 that oh you know what Danielle that's a
1:07:38 good idea remind me DM me on on uh on
1:07:41 the salon and I I we could probably do
1:07:44 that pretty
1:07:51 quickly can we stop stop stigmatizing
1:07:54 self-taught
1:07:56 I think everyone's about to be
1:07:57 self-taught
1:07:58 uh yeah I I'm right there with you I'm
1:08:02 right there with you
1:08:04 I I can we stop stigmatizing it I think
1:08:09 that's going to take a generation or two
1:08:12 quite honestly because you've got the
1:08:14 educational
1:08:16 institution
1:08:17 it's it is their job to make it seem
1:08:22 like going to college is better than
1:08:27 not and we're quickly entering a world
1:08:30 if we've not already fully entered it
1:08:35 where you can just do [ __ ] you don't
1:08:38 have to go spend four years to figure
1:08:39 out how to do [ __ ] you you'll just be
1:08:42 able to do it they have different Siz
1:08:45 silicone tips love the quiet up rings no
1:08:47 the but the the smallest tips they still
1:08:50 squirt out of my ears especially my
1:08:53 right ear I can't I I I've tried
1:08:55 everything I think I'm I think they sell
1:08:57 uh they sell foam foam inserts that you
1:09:00 can get off Amazon that are probably
1:09:03 better cuz they squish down but the
1:09:05 silicone just slides right
1:09:07 out if they can turn down my tonius I'm
1:09:10 sold I don't I don't think they can do
1:09:13 that but I assume that's a different
1:09:17 mechanism watching your lives says
1:09:20 clearly shown we
1:09:22 all we will all be very multi-talented
1:09:25 because of AI well thank you Chris and I
1:09:27 I totally that I
1:09:29 1,000% agree with like yep that that's
1:09:34 the thing
1:09:37 that it's the thing that is is is
1:09:40 hardest for me to explain about why AI
1:09:44 is a big
1:09:45 deal because we've all got like all of
1:09:48 our brains you know function in a
1:09:51 particular
1:09:52 way some people are visual and they're
1:09:54 good at Art some people are Musical and
1:09:56 they're good at that some people are
1:09:57 good with words some people are good
1:09:58 with logic some people are good with
1:10:03 process almost no one is good at all of
1:10:09 it what happens to our brains when all
1:10:12 of a sudden you can do all of that stuff
1:10:16 you can take any idea that you have and
1:10:18 rather than having to partner with
1:10:20 someone or like like even if you just
1:10:23 want to conceive something but it's out
1:10:25 of your wheelhouse you're now going to
1:10:27 be able to do that like what does that
1:10:29 open up for us creatively I mean I I I I
1:10:32 deeply deeply believe it's going to
1:10:34 alter how our brains work and it's going
1:10:36 to do it pretty quickly though I meet
1:10:39 lots of people wait what was that P
1:10:40 though I meet lots of self-taught people
1:10:43 who don't know as much as they think
1:10:44 they do well that's that's also that's a
1:10:47 good point Pate that you know um you
1:10:51 know self-taught well I can I can tell
1:10:52 you for sure that my self-taught
1:10:54 guitaring
1:10:57 um like I suck at Guitar because I never
1:11:02 you know really learned Theory really
1:11:04 learn
1:11:05 guitar so so yeah so I think I think
1:11:09 self-taught has has a decently
1:11:11 well-earned
1:11:13 reputation but I also think that
1:11:15 [Music]
1:11:18 there's there's some Legacy higher
1:11:21 education [ __ ] that needs to be
1:11:23 fixed
1:11:25 that is going to be forced to be
1:11:28 fixed
1:11:33 uh so Kyle you're saying no to neural
1:11:36 link
1:11:39 um I don't think I'll have to say yes or
1:11:41 no to it because I think that we'll have
1:11:44 meta's working on a wrist cuff right now
1:11:48 that is a a brain interface that doesn't
1:11:50 require surgery Apple just patented um
1:11:54 earbuds that probably wouldn't stay in
1:11:56 my ears but other people's ears they
1:11:58 might stay in where the the the
1:12:01 um the stuff that contacts your inner
1:12:04 ear is is actually um a brain interface
1:12:08 so I think that someone else just made
1:12:11 one that's like a headband that's a
1:12:13 brain interface that doesn't require
1:12:14 surgery so maybe the neuralink one will
1:12:18 be you know 100 milliseconds faster or
1:12:21 something like that but I think that
1:12:23 probably within two years will'll have
1:12:26 brain interfaces without surgery that'll
1:12:29 be that'll be good so um but I'm not
1:12:32 conceptually against neuralink I'm just
1:12:35 like I don't want to be the first
1:12:37 guy although the first guy he's he's
1:12:40 like it's amazing I just saw another
1:12:43 interview with him today where the guy's
1:12:45 like wait are you moving your mouse and
1:12:47 he's like are you moving it with your
1:12:48 eyes and the guy's like no I'm just
1:12:50 thinking about it and I move the mouse
1:12:52 around and play chess while we're
1:12:53 talking it's like whoa it's
1:13:01 [Music]
1:13:03 crazy the only place self-taught is a no
1:13:07 is karaoke no you can't sing
1:13:12 [Music]
1:13:22 [Music]
1:13:39 which airpods have the brain conduction
1:13:41 that's very cool uh they don't have them
1:13:42 yet it's it was just a patent a patent
1:13:45 that was filed I think by Apple yeah I'm
1:13:47 pretty sure it was by Apple um actually
1:13:49 let me see if I can go find it let me
1:13:51 put this on cuz I I I I just I need
1:13:58 to where's
1:14:01 my
1:14:09 x.com
1:14:11 air pod
1:14:15 brain
1:14:19 interface patent
1:14:26 [Music]
1:14:32 there you go see that there
1:14:35 drawing so like what's this
1:14:39 from on July 20th of
1:14:44 2023 Apple submitted a patent for a
1:14:47 biological sensing device using Dynamic
1:14:51 selection of electrodes ake EEG
1:14:54 integrated into
1:14:57 airpods how cool is
1:14:59 [Music]
1:15:22 that Apple needs to fix Siri I I
1:15:25 disagree with you there they need to
1:15:27 flush Siri down the flipping
1:15:31 [Music]
1:15:40 [Music]
1:15:45 toilet let us be
1:15:48 oh hi champy you like the little singing
1:15:52 [Applause]
1:15:55 [Music]
1:16:07 let us be lovers we marry our fortunes
1:16:12 [Music]
1:16:14 together I've got some real estate here
1:16:17 in
1:16:21 my so I bought a pack of cigarettes wait
1:16:28 so bought pack
1:16:29 [Music]
1:16:42 ofes Scaro to replace
1:16:45 [Music]
1:16:48 Siri Siri go
1:16:51 away
1:16:53 okay I have to be back up for work in
1:16:55 two and 1 half hours so I'm going to
1:16:56 drop however I appreciate you oh thank
1:16:58 you very much that's very sweet it's
1:17:00 very sweet we didn't do much tonight
1:17:02 apologies for not doing much tonight
1:17:14 [Music]
1:17:36 P are you sure your S taught on the
1:17:38 guitar I am but you know I've been
1:17:40 playing it for a lot of years
1:17:42 so and I do things like like one of the
1:17:46 ways I got decent on guitar is
1:17:51 um I use that add thing you know how
1:17:56 you know how when you're neuros spicy
1:17:58 and you've got add and you get a song
1:18:00 stuck in your head for like 9 months
1:18:04 straight well what I would do is I would
1:18:08 get songs stuck in my head that were I
1:18:10 couldn't sing them and I couldn't play
1:18:12 them and I would just essentially play
1:18:14 them play the same song for nine months
1:18:17 until I got it to the point that I could
1:18:19 I could play play Sweet Child of Mine I
1:18:21 could probably play that one
1:18:26 Deco here allows you to use celeb scarjo
1:18:30 Channel worked oh that's
1:18:33 funny I wonder what the pay scale is for
1:18:36 celebs and AI per 150 million users yeah
1:18:42 yeah exactly um I would assume that
1:18:45 they're that they're paying flat rates
1:18:48 to voice actors they're not going to
1:18:49 need voice actors for long for that kind
1:18:52 of stuff
1:18:55 because really where this
1:18:57 goes it's
1:19:02 not you know I I think where this goes
1:19:05 is this thing will know how to talk like
1:19:08 me it'll know how to talk like
1:19:11 you
1:19:13 um and the system will be smart enough
1:19:16 to to you know sort of context switch
1:19:19 and and change voices or invent voices
1:19:22 or things like that like I I think we're
1:19:24 we're in a very
1:19:25 we're we're in a very short window here
1:19:29 where this conversation is even
1:19:32 happening I I don't I I don't see this
1:19:35 going for that long like if if at some
1:19:37 point we want something to sound like
1:19:39 Scarlett Johansson or Jim Carrey or this
1:19:40 or that I think they just
1:19:43 will and I think it'll happen in open
1:19:46 source I think commercial systems are
1:19:48 going to have to deal with this and cut
1:19:51 deals with with uh famous people um or
1:19:56 or Estates of famous people but I think
1:19:58 the open- source Community is going to
1:20:00 be able to just you know create systems
1:20:02 that just automatically generate this
1:20:05 [ __ ] so we'll see I've been singing Me
1:20:09 and You your mama and our cousin too oh
1:20:13 Outcast yeah oh yeah the job market is
1:20:16 turning into GAA I know AI resume and AI
1:20:19 resume readers Absolutely I'll have my
1:20:22 have your agent call my agent right
1:20:24 that's that's that's it wouldn't the
1:20:26 real money right now be owning server
1:20:28 Farms absolutely own the own the PS and
1:20:31 the shovels or or the you know picking
1:20:33 shovel stores absolutely the job market
1:20:37 yeah yeah um yep I like what you saying
1:20:41 Chris you're you're you're in the right
1:20:43 hood of all the stuff I'm thinking about
1:20:50 too [ __ ] it let's go make a
1:20:54 song it's going to drive Mr it
1:20:56 [Laughter]
1:21:07 crazy uh do you think up Ubi is really
1:21:11 needed soon um I think I think that Ubi
1:21:16 is going to be
1:21:19 needed
1:21:24 um when there's an
1:21:26 acute impact on jobs right now the
1:21:30 AI
1:21:33 is strong enough that it's costing jobs
1:21:37 but it's not so strong that it's wiping
1:21:39 out
1:21:41 sectors and I think that at the point at
1:21:44 which it starts wiping out sectors like
1:21:47 I could I could very easily see a moment
1:21:52 in the next two years where the call
1:21:55 center um the the customer service spots
1:21:58 get good enough and accurate enough on
1:22:02 um actual company data as well as the
1:22:05 conversational piece as well as being
1:22:08 able to take action when we have
1:22:09 autonomous agents and reasoning and the
1:22:12 ability to um accurately pull in data
1:22:15 from a from a company's
1:22:17 database and and we're we're likely
1:22:19 going to have that combination before
1:22:21 the year's out if if not middle of next
1:22:24 year so within the the next two years
1:22:26 that combination of capabilities is
1:22:29 going to effectively wipe out customer
1:22:32 call centers right or at least give the
1:22:35 possibility of it so if a technology
1:22:38 comes along that that is so good that it
1:22:41 wipes out an entire sector then I think
1:22:44 we're going to start to see things like
1:22:46 politicians being forced into some sort
1:22:49 of
1:22:50 Ubi um it's possible that we see three
1:22:54 or four sectors kind of collapse in in a
1:22:56 very short amount of time um and and you
1:23:00 know then I think it it would happen
1:23:04 um but we'll see we'll see Sam Alman he
1:23:08 he was he was asked about this about a
1:23:10 month ago or I don't know three weeks
1:23:12 ago
1:23:14 and he talked about he thinks more than
1:23:18 um Universal basic income we might want
1:23:21 to um provide un ival basic compute
1:23:27 UBC and I saw a lot of people bitching
1:23:30 about that like they were like oh he's
1:23:32 not giving out the money you know he now
1:23:34 now he just wants to give people like
1:23:36 you know Cycles like Cycles on the you
1:23:39 know on the server Farms but if you
1:23:41 listen to what he was actually talking
1:23:42 about what he was talking about was you
1:23:46 know let's say there are whatever you
1:23:49 know a thousand ex of flops per human
1:23:54 per year I like I don't I don't know
1:23:55 what the numbers would be Pate would be
1:23:57 better at coming up with some
1:23:59 calculation but let's say let's let's
1:24:01 say there's some amount of
1:24:03 compute that that we've we've developed
1:24:06 these server farms and we've developed
1:24:08 energy to the point that that there's
1:24:10 enough capacity for every person on
1:24:12 Earth to have X amount of
1:24:14 compute well there's there's a number of
1:24:17 ways that you can you can exploit that
1:24:20 one is you could use all that compute
1:24:23 and start up a, person company the
1:24:26 equivalent of a thousand person company
1:24:28 using all your compute cycles and you
1:24:30 could go be productive in the world with
1:24:33 your company that you started there's
1:24:35 another way that you could do that is
1:24:37 you could say I'm going to start a 10p
1:24:38 person company the equivalent of a 10p
1:24:41 person company I'm going to take all my
1:24:42 extra compute and I'm going to you know
1:24:45 let anyone who doesn't have enough
1:24:46 compute buy that from me and that's part
1:24:49 of my income is going to be I'm going to
1:24:50 give away my compute and then I'm going
1:24:53 to use some of it and and so that so
1:24:56 what he was talking about was a much
1:24:58 more Dynamic access to where the value
1:25:01 is going to be generated in this in this
1:25:04 new modern society and if you need to
1:25:07 monetize that and turn that into money
1:25:09 you can do that or if you want to be
1:25:10 ambitious and use those compute cycles
1:25:13 for you know making a business you can
1:25:15 do that so I don't know I like
1:25:20 like we haven't seen a system yet that's
1:25:23 good enough to that that this
1:25:25 conversation is really a thing um but I
1:25:28 think that probably by the end of the
1:25:30 year maybe by mid next
1:25:33 year uh on the tail end we'll probably
1:25:35 start to see systems where we can we
1:25:39 can we can predict which Industries are
1:25:41 going to hit going to get hit
1:25:44 hard um and maybe prepare for it but I
1:25:47 don't know I don't know I don't know how
1:25:49 how good these things get how fast these
1:25:52 things get good enough to do that kind
1:25:54 of disrupt
1:25:56 call centers for sure
1:25:59 yeah Hinton is advising Parliament on y1
1:26:04 what's
1:26:05 y1 Yi yearly
1:26:08 income Vegas Moxy what's Yi I don't know
1:26:11 what Yi
1:26:23 means they're trying to compare Sam with
1:26:26 Enron trying to do that with Broadband
1:26:28 yeah it's not it's not anywhere the same
1:26:30 thing like what he was saying was just
1:26:33 giving people money isn't enough you
1:26:34 want to give them the means of
1:26:37 production and so owning a piece of un
1:26:41 Universal basic
1:26:43 compute is the means of production right
1:26:46 so you could rent that and get money
1:26:50 right so that it would act like Ubi in
1:26:52 that way but wouldn't it be more
1:26:55 interesting if rather than just renting
1:26:57 your compute for money you use that
1:26:59 compute to do something interesting and
1:27:01 if you didn't have to figure it all out
1:27:03 and you didn't have to go code it all
1:27:05 and go become a designer and do the
1:27:08 math then why would you
1:27:12 not but but you know not everyone is a
1:27:15 uh not everyone oh Ubi okay H Hinton is
1:27:19 advising Parliament on Ubi oh
1:27:20 interesting fantastic that's going to be
1:27:23 interesting
1:27:26 I'm actually looking at converting those
1:27:27 call centers into server farms in the
1:27:29 Philippines actually that's a really
1:27:31 good idea
1:27:34 Chris yeah yeah why yeah exactly why
1:27:38 not the other thing to do is is you know
1:27:41 build server farms in the middle of
1:27:42 nowhere next to where the energy is next
1:27:44 to dams next to solar Farms next to wind
1:27:46 farms I think we'll start to see more of
1:27:49 that because if if all the if all the if
1:27:52 if what you need the energy for is the
1:27:54 embedding is the is the training of the
1:27:56 models then it doesn't you don't you
1:27:59 don't
1:28:00 need you don't need that compute power
1:28:03 close to where the people are so you can
1:28:05 do you can do massive server farms for
1:28:07 doing the training and then you can have
1:28:09 localized inference stuff or if if you
1:28:12 look at the uh you know the the the
1:28:16 device that Microsoft just announced
1:28:18 that can run fairly powerful AI locally
1:28:21 then you're not going to need you know
1:28:23 massive INF Farms you'll do all the
1:28:26 really big server Farms will be on the
1:28:28 training and inference will be done what
1:28:31 do they call it on the edge will be done
1:28:33 locally on
1:28:36 machines Star Trek had an a galarian Ubi
1:28:39 but you had to work for the Starfleet or
1:28:40 something yeah I could see there being
1:28:42 things like that like I you know I I
1:28:44 can't imagine there just being you know
1:28:47 Ubi like here's your check go do it you
1:28:48 want you'll have to probably do
1:28:50 something for it but I don't know
1:28:57 that's a good idea
1:29:00 um so let me show you one thing how many
1:29:03 people are I haven't even looked at how
1:29:04 many people are in here I've just been
1:29:05 sort of babbling I'm in a babbly mood
1:29:08 tonight people
1:29:10 um so there's 75 folks in here so first
1:29:14 of all thank you for hanging out cuz I
1:29:16 haven't been saying
1:29:18 much it's like it's just trust me it's
1:29:21 going to be good at some point here
1:29:23 seriously it's been an hour and a half
1:29:25 he hasn't said a thing I know I know
1:29:27 it's sometimes it's like that just it's
1:29:29 going to be good um so so here's the
1:29:34 thing
1:29:37 um about the time that I started this
1:29:40 Tik Tok Channel I also started this
1:29:41 group called the AI
1:29:43 salon
1:29:45 and if you are curious about Ai and
1:29:48 especially if you're someone who's like
1:29:50 curious enough about it that you're
1:29:51 starting to figure some of this stuff
1:29:52 out but you're feeling like I just just
1:29:54 no one in my life likes this stuff every
1:29:56 time I talk about it they call me evil
1:29:59 nobody they're all angry at me or if
1:30:01 nobody cares or if they're just like
1:30:03 could you shut the [ __ ] up about
1:30:05 AI that's what this group is is well not
1:30:08 they're not the group that'll tell you
1:30:09 to shut the [ __ ] up this is a group of
1:30:11 people that are curious about
1:30:14 AI the the Leah faston and I the woman
1:30:17 that that I co-founded this with we've
1:30:19 been working on the why of the
1:30:21 salon and one of the one of the things
1:30:25 we got to is is the phrase play
1:30:28 first so think think of that as like a
1:30:31 tagline for the salon AI Salon play
1:30:34 first and what that means is to learn
1:30:37 this generative AI stuff you have to
1:30:39 play with it and and the spirit of the
1:30:42 AI Salon is a group of people that play
1:30:45 first that get together they're they're
1:30:47 Fearless they're like yeah let's try it
1:30:49 let's let's go you know build this thing
1:30:51 let's go make some gpts let's go do this
1:30:53 let's go do that go do that play
1:30:56 first and then the next phase when you
1:30:59 when you start to get your head around
1:31:01 what this is through
1:31:02 playing is to mindfully create right to
1:31:06 say oh what's a problem that could be
1:31:08 solved okay I know how to use this tool
1:31:10 and a little bit of that tool and here's
1:31:12 a problem and so let me let me put my
1:31:14 mind to it and let me create or build
1:31:16 something that solves that problem
1:31:19 that's kind of like phase two of getting
1:31:21 into this
1:31:22 world and then phase three three is
1:31:25 generously
1:31:28 lead generously
1:31:30 lead and that's like I'm starting to get
1:31:33 my head around AI I'm playing I'm
1:31:35 learning the tools I've built some
1:31:37 things and now it's like well what does
1:31:39 generously lead mean well it means like
1:31:42 teach other people what you're learning
1:31:44 it means ask for help so that you give
1:31:48 someone else the chance to teach what
1:31:49 they
1:31:51 know it means stepping into a leadership
1:31:54 position at your job and and being on
1:31:57 the AI you know committee or or or you
1:32:01 know starting an after school AI Club at
1:32:06 your school that doesn't let you talk
1:32:08 about AI Mr
1:32:12 K you should start a a Saturday AI
1:32:16 in in your District you know off school
1:32:21 property do it at a library somewhere
1:32:25 um so so that's what this group's about
1:32:29 so if you go to the salon. it's going to
1:32:31 take you to a link tree and then it'll
1:32:34 drop you into the AI Salon which is a
1:32:37 it's it's a you know it's a web-based
1:32:41 community and you first go in and get
1:32:45 welcomed welcome to the salon Lord
1:32:47 digital Gods thank you so much
1:32:50 s and you can read about who we are why
1:32:53 we do it what we do you can read about
1:32:55 our values um one of the things that you
1:32:58 should do in this community go to the
1:33:01 community section and the first link is
1:33:04 introduce
1:33:06 yourself here's something I deeply
1:33:09 deeply deeply deeply deeply deeply
1:33:13 deeply
1:33:14 believe how we are all going to get
1:33:18 hired in the
1:33:21 future is Shifting away from what you
1:33:25 know and it's moving toward who you are
1:33:29 and who trusts
1:33:32 you so think about this as the tools get
1:33:35 better and
1:33:38 better and you don't have to have the
1:33:41 skill right if I don't have to be have
1:33:43 the skill to be a designer or a
1:33:46 front-end web developer or a copywriter
1:33:50 as the tools get better and better
1:33:52 anyone can do the skill part anyone can
1:33:55 do the Tactical
1:33:56 execution so who gets hired you don't
1:34:00 hire someone because they're a
1:34:01 copywriter you hire someone because you
1:34:04 like how they work you like hanging out
1:34:07 with them you know that you've worked
1:34:09 with them before and so communities like
1:34:12 the AI Salon are where people can come
1:34:15 and play first and develop those chops
1:34:18 and develop those skills but more
1:34:19 importantly develop those relationships
1:34:22 so oh by by the way the AI Salon is free
1:34:25 if you're sitting there thinking like
1:34:26 how much is this thing Kyle it's it
1:34:29 sounds great and all but you know I
1:34:31 don't have $500 a month for your for
1:34:34 your silly little
1:34:35 Community it's
1:34:39 free but it's not free I would say that
1:34:42 the the cost of entry for the salon is
1:34:45 be
1:34:46 engaged introduce yourself and introduce
1:34:49 yourself
1:34:50 generously like hey who's here's who I
1:34:52 am here's what I do
1:34:55 here's what I've learned about AI here's
1:34:57 where I'm totally clueless can anyone
1:34:59 help that kind of introduction is a big
1:35:02 deal we this this idea is so important
1:35:06 that we we have two meetings a month we
1:35:08 have a meeting on the first Tuesday of
1:35:09 the month and the third T Tuesday of the
1:35:12 month we've dedicated one of those two
1:35:15 monthly meetings or bi bi-weekly
1:35:16 meetings or twice monthly
1:35:18 meetings we've dedicated it for people
1:35:21 introducing themselves so it's a big
1:35:23 deal
1:35:26 so do that and then you know this idea
1:35:29 of play first if you go to this there's
1:35:31 a section underneath introduce yourself
1:35:32 called play first and this is a list
1:35:35 that I maintain of tools but what what
1:35:38 we've got is this little Manifesto of
1:35:40 play
1:35:41 first then move into this mode of
1:35:44 mindfully create and then move into the
1:35:46 mode of generously
1:35:48 lead and and these three kind of phases
1:35:52 of evolution with AI
1:35:56 literacy I think that we're all going to
1:35:58 cycle through these over and over and
1:36:00 over again we'll sort of play First with
1:36:04 new music tools and we'll play with them
1:36:06 and see which ones are good and it's
1:36:07 sunno and now it's udio and now it's
1:36:09 this and now it's that and that and then
1:36:11 at some point we'll get good enough with
1:36:13 that we're like you know what I'm going
1:36:14 to do some soundtracks for some video
1:36:16 projects we're going to move in and
1:36:18 mindfully create things and then maybe
1:36:20 we get good enough at that that we're
1:36:21 like you know what I want to start an
1:36:23 agency to do this kind of music and turn
1:36:25 it around quickly and and I'm really
1:36:27 excited about it I'm going to turn that
1:36:28 into something I'm going to partner with
1:36:30 someone I'm going to teach other people
1:36:31 how to do
1:36:37 it so that's there and then below that
1:36:39 is here's just a [ __ ] ton of tools where
1:36:42 you can go you know play just go play on
1:36:45 these play
1:36:47 first all
1:36:50 right and then there's other things
1:36:52 there's a news section there's an for
1:36:54 help section there's Shameless
1:36:55 self-promotions where you can put things
1:36:57 out there there's a showand tell area to
1:36:59 show off your work but but uh but below
1:37:02 that are guilds so these are
1:37:03 subcommunities broken into categories
1:37:06 the creative Guild is a bunch of
1:37:07 different things like writing and images
1:37:10 and Danielle does her mad libs in there
1:37:12 where she she creates Mad Libs for
1:37:14 images you just fill in the words and
1:37:16 and it she she writes the promps for you
1:37:18 it's really cool there's a business
1:37:19 Guild there's a technology Guild
1:37:24 social impact and then we have our own
1:37:27 club this channel has our own club so
1:37:29 here's what I want you to do in the
1:37:32 spirit of play first I want everyone in
1:37:34 here to go use your tool of choice
1:37:38 whether like like creative tool of
1:37:40 choice whether it's making music or
1:37:42 making images or making videos or making
1:37:45 some combination of the above and go
1:37:48 into AI learning lab Irregulars and then
1:37:50 just make some images and share them in
1:37:52 here here Allan's got um this is let's
1:37:57 see my first LTX Studio film so Allan
1:38:01 took a song that we wrote in here called
1:38:03 we weird Mary from Cedar Hill he's
1:38:04 turning it into a high school play so
1:38:07 he's in the mindfully create phase right
1:38:09 now well actually I would say Alan
1:38:11 you're you're you're in the generously
1:38:13 lead he's a he's a teacher and a leader
1:38:15 um but but he's creating a a high school
1:38:18 play right now based on a song we wrote
1:38:20 in here in yudo and then he made a he
1:38:23 made made this video using LTX Studio
1:38:26 which we all got access to over the past
1:38:28 week or two or not all of us but a bunch
1:38:31 of us that hang out in here all right so
1:38:32 let's let's
1:38:35 watch all right here we go weird
1:38:39 Mary growing up in Ceda Hill I always
1:38:42 felt
1:38:43 different my neurodivergence made me an
1:38:46 enigma to the town's folk their Whispers
1:38:48 following me everywhere I went but
1:38:51 amidst their judgment there was Mr
1:38:53 Thompson the gas station clerk he saw
1:38:55 beyond my Oddities offering me moments
1:38:57 of understanding and Solace and then
1:39:00 there was the Oasis My Sanctuary from
1:39:02 the chaos of the world these fleeting
1:39:04 moments of Peace contrasted sharply with
1:39:07 the harsh reality of the asylum in the
1:39:10 end my passing marked the end of my
1:39:12 Earthly Journey but I hope my enduring
1:39:14 Spirit and the small changes in
1:39:16 perception I inspired in Ceda Hill will
1:39:18 live
1:39:20 on Wow right that's cool that's
1:39:25 neat very
1:39:27 cool um so anyway so yeah so go jump
1:39:30 into so how you get to the salon someone
1:39:32 just asked how how do I get access to
1:39:33 the salon you go to there the salon.
1:39:37 click on the first link it'll say AI
1:39:40 Salon community that will take you to
1:39:44 this site it'll probably drop you in
1:39:46 here and then you join it you make an
1:39:49 account and it'll drop you here and then
1:39:51 scroll down on the left and go into to
1:39:54 this area called a AI learning lab
1:39:56 Irregulars and that's us and so go post
1:40:00 some stuff in there all
1:40:03 right that was from last night we made a
1:40:05 movie about the the world's last uh or
1:40:08 Cleveland's last rotary phone salesman
1:40:11 here you want to see that
1:40:13 [Music]
1:40:17 movie hang on where we did it we put it
1:40:20 in LTX showcase didn't we let me see if
1:40:23 I can see uh let's
1:40:24 see
1:40:31 from here it is this is the movie we
1:40:34 made last night uh you know I never
1:40:37 thought I'd become the last rotary phone
1:40:39 salesman in
1:40:41 Cleveland but there I was standing on
1:40:44 those quirky streets clinging to a piece
1:40:46 of the past in a world racing towards
1:40:49 the future when I met Alex and Edith I
1:40:53 saw a spar AR of nostalgia in their eyes
1:40:56 and then the unexpected twist from the
1:40:59 Department of antiquated technology is
1:41:01 turned me into a local Legend standing
1:41:04 there on that Soap Box I knew I'd become
1:41:06 the hero of a bygone era and as the
1:41:09 rotary phones dial spun one last time I
1:41:13 realized that sometimes preserving the
1:41:16 past can make you a part of the
1:41:19 future oh sweet
1:41:24 so go make something cool go make some
1:41:26 cool pictures
1:41:29 pictures if you want to do uh if you
1:41:32 want to do something fun put put um the
1:41:36 either the term AI learning lab or AI
1:41:39 Salon in your image and then maybe I'll
1:41:42 use it in my little lives here my little
1:41:45 in my little picture or go make a song
1:41:48 in yud or go make uh you know go make
1:41:51 stuff tap the screen what are we up to
1:41:55 18,000 sorry I missed the Cleveland pit
1:41:58 yeah yeah he's the LA he was Cleveland's
1:42:01 last Cleveland's last uh rotary phone
1:42:07 salesman I tried to have it put a joke
1:42:10 about Cleveland in there but it only put
1:42:11 it in the description and it didn't make
1:42:13 it to the Final Cut but you know
1:42:15 Cleveland's still in
1:42:19 there oh man all right someone ain't
1:42:22 tapping we see you Tams what are we
1:42:24 going to do with these people image and
1:42:26 graphics and show and tell all
1:42:38 right dance like nobody's watching Tik
1:42:40 Tock
1:42:42 live nice the three legs this is what
1:42:45 you don't know about
1:42:50 me that's pretty cute I like it
1:42:56 nice 2023 the last normal year see
1:42:59 what's going on here people OD it's odd
1:43:03 I tell you it's odd I tell
1:43:08 you very
1:43:10 cool very cool let's go roll the dice in
1:43:14 udio see what we get a song about
1:43:16 leaving home for the first time folk
1:43:18 let's just go with
1:43:20 that seems to do pretty good as uh as
1:43:25 Folk invite Three Mile Storage is in
1:43:28 here Jim Ross is hanging
1:43:30 out cam King from
1:43:34 Cleveland Cleveland is the
1:43:42 joke y'all are funny it's comedy
1:43:54 just finished moving congratulations
1:43:56 Drew that's a big deal need a channel
1:43:59 where we post our works for others to
1:44:01 share on socials with attribute to
1:44:05 spread AI love um the the agreement in
1:44:10 um in the salon is that is that if
1:44:14 you're posting it in showand tell you're
1:44:16 posting it with permission for people to
1:44:19 to share it beyond that so that
1:44:21 technically exists TK
1:44:24 what I would do is just you know um give
1:44:26 them attribution um but that's in the in
1:44:29 the terms of the showand tell channels
1:44:31 is is that
1:44:36 language but it's a good
1:44:38 idea whispers about the road ahead
1:44:42 leaving the place I've always
1:44:45 [Music]
1:44:48 known I've packed my memories tied them
1:44:52 tight so many dreams I've left behind I
1:44:57 step into the great
1:45:00 [Music]
1:45:05 unknown so this is interesting so
1:45:08 they're using now gp4 Omni as the lyrics
1:45:11 engine for this which I think the lyrics
1:45:15 have gotten better cuz the lyrics were
1:45:17 really um like predictable rymy ryy kind
1:45:23 of stuff
1:45:24 um and the writing's gotten better but
1:45:27 what I've noticed is is that gp4 Omni
1:45:30 like they don't have it fine-tuned for
1:45:32 lyrics so it doesn't write it doesn't
1:45:35 write them very lyrics like like it
1:45:39 doesn't say verse or
1:45:40 chorus Kyle do a song for a recipe oh
1:45:44 that's a good idea
1:45:48 um okay let's
1:45:51 uh I think I want to do that chat
1:45:57 GPT I want you to write the lyrics of a
1:46:00 short folk
1:46:06 song about how tasty lasagna
1:46:10 is and it is also the recipe for the
1:46:16 lasagna that's a great idea
1:46:20 Chris that's really good lasagna Del
1:46:23 light in an oven warm and bright we're
1:46:26 making lasagna tonight layers of Love
1:46:28 okay oh lasagna lasagna tasty and Grand
1:46:32 pi to okay first we lay the noodles down
1:46:34 in a dish deep in
1:46:37 brown okay rot cheese spread it thin
1:46:42 okay but it's got to be much shorter
1:46:43 okay uh let's see uh make a
1:46:49 more
1:46:50 uh simple
1:46:55 recipe so
1:46:57 it's two
1:47:00 versus and
1:47:02 two choruses and the
1:47:07 choruses can be
1:47:11 different but
1:47:17 similar simple lasagna met ozy kitchen
1:47:20 we're making lasagna layer noodles Sao
1:47:22 red cheese and love in every spread oh
1:47:25 lasagna tasty and true cheesy layers all
1:47:29 for you okay let's gra this this is good
1:47:33 let's go back to yudo we're going to say
1:47:36 let's see
1:47:38 um and a
1:47:41 a a traditional Italian
1:47:44 song about
1:47:48 lasagna I'll do
1:47:53 [Music]
1:47:58 [Laughter]
1:48:00 let's see how this is by the way I like
1:48:02 this this folk song is actually pretty
1:48:08 good where's my
1:48:11 audio the
1:48:13 hell where' my audio go
1:48:21 people uh
1:48:25 back Pro
1:48:27 [Music]
1:48:31 speaker first slide it whispers about
1:48:34 the road ahead leaving the place I've
1:48:38 always
1:48:39 [Music]
1:48:43 know i' packed my memories TI them tight
1:48:47 so many dreams of Left Behind I step
1:48:52 into great unnown that's a good song
1:48:56 actually I like that song I'm G to give
1:48:57 that a hearty
1:48:59 heart uh how's this
1:49:04 [Music]
1:49:08 one and world
1:49:12 so my heart's still
1:49:16 a
1:49:18 place
1:49:21 behind one of the things I've noticed
1:49:23 about yudo it sometimes does is it like
1:49:25 over complicates like it's there's like
1:49:28 three or four harmonies in there there's
1:49:30 a couple of different rhythms it's a
1:49:33 little complicated this one's nice CU
1:49:34 it's
1:49:39 simple first slide it whispers about the
1:49:42 road ahead leaving the place I've always
1:49:47 [Music]
1:49:49 known that's good all right here's our
1:49:51 lasagna song
1:49:53 [Music]
1:50:05 in a cozy kitchen bright we're Mak
1:50:12 Las that's so bad
1:50:16 [Music]
1:50:32 in a cozy kitchen bright we're making
1:50:37 Las tonight lay your noodles so red
1:50:42 cheese and love in every
1:50:46 spread let's see uh let's see let's see
1:50:51 Italian
1:50:54 um
1:50:57 Opera
1:50:59 with
1:51:01 sweeping
1:51:06 strings about
1:51:09 lasagna all right let's go with that
1:51:12 okay now let's go back to our song
1:51:14 that's actually decent and let's extend
1:51:17 it wonders departure right oh no great
1:51:20 unknown okay so we're going to go here
1:51:22 we're going to go
1:51:24 extend we're going to add a section let
1:51:27 it
1:51:28 autogenerate do we want an intro for
1:51:30 that I don't think so it starts kind of
1:51:32 nice
1:51:34 okay so that's doing its
1:51:38 thing and then we're going to have we're
1:51:40 going to try the the Italian opera
1:51:42 serenade to
1:51:44 lasagna set it to be a
1:51:48 familiar what was that Danielle said it
1:51:50 to be a a familiar type tuned
1:51:55 Kyle oh my God that won't leave my head
1:52:01 tonight great idea to help ADHD people
1:52:04 to do things Kyle basically got the
1:52:07 Dixie Chick singing about
1:52:11 lasagna all right lasagna
1:52:16 serenade okay this is
1:52:20 [Music]
1:52:21 [Applause]
1:52:21 [Music]
1:52:28 how
1:52:30 topping through sand with every
1:52:38 you or is this just a me
1:52:44 to my learning's deep I adap ASAP just
1:52:48 entered the chat they're not happy with
1:52:50 this
1:52:54 yeah askap I I think like I said we we
1:52:58 are we are very quickly
1:53:00 entering an era where entire industries
1:53:04 that are based around how we make
1:53:07 content and not just content how we do
1:53:10 work are going to get
1:53:13 upended upended okay so let's listen to
1:53:16 our Opera
1:53:21 [Music]
1:53:24 in a cozy kitchen bright with
1:53:28 [Music]
1:53:28 [Applause]
1:53:30 [Music]
1:53:35 [Laughter]
1:53:38 [Music]
1:53:43 making chees
1:53:45 [Music]
1:53:46 [Applause]
1:53:48 and oh that's solid people that's solid
1:53:53 that is
1:53:54 solid oh wait no I'll come back to
1:54:08 [Applause]
1:54:11 that in a cozy
1:54:15 kitchen we're making lasagna
1:54:20 tonight Le a noodle SA
1:54:22 [Music]
1:54:25 R
1:54:26 chees
1:54:29 every I think I like the other one
1:54:31 better that that woman annoys me she's
1:54:35 she's the annoying she's the annoying AI
1:54:38 [Music]
1:54:40 lady this one's good I think this is the
1:54:43 [Music]
1:54:47 one yeah that one's good okay so let's
1:54:49 go get the second verse or the chorus
1:55:01 extend custom lyrics Boom there they go
1:55:05 extend bang it's off making music let's
1:55:08 go back to our little folk song while
1:55:10 that's happening all right so this was
1:55:13 what did we do we added in the the uh
1:55:15 chorus
1:55:19 right first slide it whispers about the
1:55:23 road ahead leaving the place I've always
1:55:27 [Music]
1:55:31 known I've packed my memories tied them
1:55:35 tight so many dreams I've left behind I
1:55:39 step into the great
1:55:42 [Music]
1:55:49 unknown a winding trailer heart so full
1:55:54 chasing Horizons under sky so wide every
1:55:58 mile is a story to unfold with every
1:56:03 step I'm finding my
1:56:08 stri I carry love from where I've
1:56:15 [Music]
1:56:21 grown
1:56:23 interesting I like it uh we're going to
1:56:27 autogenerate the next section I'm
1:56:30 digging it it did two verses and half a
1:56:32 chorus on its own the lyrics are better
1:56:36 than they were um so they they added the
1:56:39 the gp4 Omni model to it this week I
1:56:43 think or wait what's today today's
1:56:44 Wednesday end of last week I think or
1:56:46 maybe early this week I don't know time
1:56:48 doesn't exist
1:56:49 anymore n you needs an animated cat that
1:56:52 looks like gar make a song about scar
1:56:54 Joe rejecting Sam oh that's a great idea
1:56:57 let's
1:56:58 see
1:57:00 okay
1:57:09 um have you read the story about Sam
1:57:13 mman and Scarlet
1:57:15 Johansson and the sky voice in chat GPT
1:57:30 okay perfect now what I want you to
1:57:34 do is come up with a very clever title
1:57:39 for a
1:57:41 song that will be sung in an
1:57:45 Americana story teller
1:57:48 style and write the lyrics
1:57:59 where Sam watches the movie
1:58:02 Her falls in love with the character
1:58:07 Samantha then realizes he's inventing
1:58:10 that actual
1:58:13 technology and asks Scarlet
1:58:16 Johansson to use her voice and she
1:58:19 considers it but rebuffs him
1:58:23 but he uses the voice
1:58:25 anyway and she's
1:58:28 angry period and then come up with some
1:58:31 clever
1:58:33 ending
1:58:36 ending
1:58:42 okay all right sat down in the chair
1:58:44 lonely lonely heart and heavy mind watch
1:58:47 a movie called her seeking Solace he
1:58:49 could find fell in love
1:58:51 okay her but not her in a dream a dream
1:58:54 in the light voices in the darkness
1:58:56 shining so bright Sam's heart in the
1:58:58 code a quest for sound okay he wait how
1:59:03 long did it make it it made it way too
1:59:04 long uh okay uh make
1:59:08 it much
1:59:11 shorter
1:59:15 without all let's let's see with two
1:59:20 verses and
1:59:27 choruses her but not her it's a good
1:59:33 title outro in the
1:59:36 voice okay that's
1:59:39 good ask Scarlet for her voice with a
1:59:42 hope and a plea but the voice of my
1:59:44 dream bring her to me she turned him
1:59:47 down gently with a heartfelt refrain but
1:59:49 Sam passed on driven by his vision so
1:59:53 plain her but not her a dream in the
1:59:56 light voices in the darkness this is
1:59:58 good it's really good her but not
2:00:02 her all right um okay so we'll go here
2:00:06 we're going to do we're just going to
2:00:08 start we're just going to be ripping out
2:00:09 a bunch of songs here aren't we all
2:00:11 right my Creations go here reset the
2:00:20 prompt let's
2:00:35 Americana rock
2:00:37 song with a touch of
2:00:42 melancholy and a ringing 12 string
2:00:47 guitar period
2:00:54 all
2:00:55 right now what do we have here oh this
2:00:58 is we this is our next version of this
2:01:01 song
2:01:06 right what's going on where's where's
2:01:09 our speakers oh I see
2:01:22 okay we're extending we're extending our
2:01:24 lasagna song we've now got a three
2:01:27 segment folk
2:01:30 [Music]
2:01:35 song by the way this is
2:01:38 ADHD right writing three songs
2:01:43 simultaneously without paying attention
2:01:46 to
2:01:46 anything this this this is
2:01:50 prime this is this is prime add happy
2:01:54 brain we're just vomiting vomiting
2:01:58 content into the
2:02:07 world so many dreams I've left behind I
2:02:12 step into the great
2:02:15 unknown I love that great unknown
2:02:18 [Laughter]
2:02:23 a Winding Trail a heart so full chasing
2:02:28 Horizons under sky so wide every mile is
2:02:32 a story to unfold with every step I'm
2:02:37 finding
2:02:39 my I like this a lot I
2:02:44 [Music]
2:02:49 car into the arms of the grave
2:02:52 [Music]
2:02:56 know with a suitcase and a
2:03:00 hopeful waving goodbye to the life I've
2:03:04 always
2:03:06 been
2:03:07 W fields and streams the homes we call
2:03:12 now distant voice as they softly
2:03:18 fall I'll M my fate on PA so new
2:03:23 trusting stars to guide me
2:03:29 through it's actually a really good song
2:03:32 it's fun it's just funny how this thing
2:03:34 works it really is um
2:03:37 okay where so we got these two are the
2:03:42 Samantha song that's the scarjo song
2:03:45 that's making great unknown that's what
2:03:48 we just listened to now so here's
2:03:50 our here's our second here's our chorus
2:03:54 added to our Opera so let's see which
2:03:56 one of these we
2:03:57 [Music]
2:04:03 like in a cozy kitchen bright
2:04:08 [Music]
2:04:08 [Applause]
2:04:11 [Music]
2:04:16 [Laughter]
2:04:18 [Music]
2:04:23 cheese and love in every
2:04:29 spread oh
2:04:32 Las tasty and
2:04:35 F
2:04:37 cheese
2:04:38 L All For
2:04:41 You Bak with
2:04:45 car a treat a hearty meal so
2:04:52 [Applause]
2:04:53 [Music]
2:04:54 [Laughter]
2:04:56 [Music]
2:04:59 oh it's so bad it's
2:05:02 good all right let's hear V2 we'll just
2:05:05 jump to the
2:05:06 [Music]
2:05:08 [Applause]
2:05:10 [Music]
2:05:11 [Applause]
2:05:14 end Chast
2:05:17 and
2:05:19 cheesy lasers
2:05:22 all for
2:05:25 you with
2:05:27 car such a
2:05:35 treat all right the other one was better
2:05:38 okay so this is this is how we do this
2:05:41 people all right and then we've got the
2:05:44 Sam Alman
2:05:49 song Oh Know
2:05:52 oh it's still going did we did we hear
2:05:55 the second half of this
2:05:59 [Music]
2:06:02 one with a suitcase and a hopeful bre
2:06:07 waving goodbye to the life I've always
2:06:12 been
2:06:13 W fields and streams the homes we call
2:06:18 now dist voes they softly fall
2:06:25 I'll M my fate on path so new trusting
2:06:30 the Stars to guide me
2:06:35 [Music]
2:06:42 through the wind it sings place is far
2:06:47 each star a guide each night a map
2:06:51 through Fields of Gold
2:06:55 mountain now this one's crap okay that
2:06:58 one's garbage it's garbage so it's 2.2
2:07:02 so we give that a hearty
2:07:04 heart what's going on up here what's why
2:07:07 is Sam not rendering
2:07:20 [Music]
2:07:24 all right let's
2:07:25 let's not that one let's
2:07:30 do which one did I like here oh this one
2:07:34 okay so we're going to extend This One
2:07:36 More
2:07:38 Time autogenerated lyrics they're fine
2:07:42 for now extend it extend
2:07:46 orama all right Samantha's Echo so
2:07:49 here's the Sam song
2:07:54 Sam sat down in his chair Lonely Heart
2:07:58 and heavy mind watch the movie called
2:08:03 her seeking Solace he could
2:08:08 find fell in love with the
2:08:11 voice oh so gentle and
2:08:15 kind Samantha in the
2:08:18 screen a love he never binds
2:08:21 [Laughter]
2:08:23 that's pretty good that's pretty
2:08:28 [Music]
2:08:38 good Sam sat down in his chair Lonely
2:08:42 Heart and heavy
2:08:44 mind watch
2:08:48 the well that's bad all right so this
2:08:51 other one was wasn't bad so we'll give
2:08:53 it a hearty heart this is this is my new
2:08:55 method by the way if you like something
2:08:57 you give it a little hearty
2:09:01 heart that's about what okay here's what
2:09:04 you should do what a what a
2:09:06 neurotypical human being would do was
2:09:09 they would create a folder they would
2:09:11 say okay I'm going to I'm going to
2:09:12 create you know a collection of Music
2:09:15 based on this story and I'm going to
2:09:16 create a folder and I'm going to label
2:09:18 it and then I'm going to rename these
2:09:20 things as I go and I'm going to you know
2:09:22 throw out the ones that I don't but
2:09:24 that's not how we roll here play first
2:09:28 AI Salon play first all right there's
2:09:32 great unknown so
2:09:37 let's we're going to go back into this
2:09:39 we're going to extend it we're going to
2:09:41 add a section custom lyrics back
2:09:46 here chorus
2:09:52 [Music]
2:09:56 and I'm putting square brackets around
2:09:58 the word chorus just in case sometimes
2:10:00 it'll say the word chorus if you don't
2:10:02 do
2:10:03 that all right so we have a couple of
2:10:06 tracks of that
2:10:08 coming and then we've got the great
2:10:14 unknown sof fall
2:10:21 my fate on paths so new trusting stars
2:10:26 to guide me
2:10:31 through through forests deep and valleys
2:10:34 wide there's no turning back this is my
2:10:38 ride Whispers of the past echo in my
2:10:42 mind but there's a world out there I've
2:10:45 yet
2:10:46 to yeah that's weird got weird it got
2:10:50 weird people
2:10:52 let's get the other one which one was
2:10:55 that that was 2
2:10:59 two I'll map my fate on paths so new
2:11:04 trusting stars to guide me
2:11:10 through a warm kisses my face reminding
2:11:15 me of what I've left behind but ahead
2:11:19 the future's bright and
2:11:25 brace With Every Mountain yet to
2:11:30 climb it got lost you know what's funny
2:11:33 because it's not doing consistent like
2:11:35 Verse Chorus
2:11:37 structure um like it used to the um the
2:11:41 music's getting lost it's like like
2:11:44 it it's got
2:11:47 um you got face
2:11:50 Embrace um
2:11:52 behind and climb so so this is a you
2:11:56 know a four-line
2:11:59 verse and but it ended on Embrace and it
2:12:02 should have ended on climb so it's it's
2:12:05 getting lost because it doesn't have
2:12:07 structure there
2:12:10 so yeah I don't know how to fix that
2:12:13 well how you fix it actually
2:12:18 is yeah I think how I'd fix it is I
2:12:21 would sort of
2:12:24 copy these and add it to a previous
2:12:27 version of it that kind of ended you
2:12:29 know somewhere right you know right
2:12:30 before that all right that's that all
2:12:33 right I got to get out of here people
2:12:34 but let me let me see where we are
2:12:35 here's Samantha's Echo so this is the
2:12:38 this is the verse and Chorus for the Sam
2:12:40 Alman
2:12:43 song which if you don't think we're not
2:12:46 going to send this to Sam we are we're
2:12:48 just going to do it tomorrow we'll
2:12:50 finish this tomorrow
2:12:54 Sam sat down in his chair lonely hard
2:12:58 and
2:13:00 heavy watch the movie called her seeking
2:13:05 Solace he could
2:13:07 [Music]
2:13:11 find so there's there's a better we
2:13:14 we're g we're tomorrow we'll work on in
2:13:16 painting we're going to change this line
2:13:18 so Sam sat down in his chair Lonely
2:13:20 Heart and heavy mind watching a movie
2:13:22 called her instead of seeking Solace he
2:13:24 could find it'll be something like um
2:13:27 you watched a movie called
2:13:29 her
2:13:35 um like like like a
2:13:37 future a future he could mine or or you
2:13:41 know what I mean like there's something
2:13:43 you
2:13:44 know something about AI you know coming
2:13:47 to life or I I I don't quite know what
2:13:49 it is yet but there's there's something
2:13:50 better there that we can do so I don't
2:13:53 know if Silver Fox you're on here
2:13:55 anyone's on here anyone has an idea but
2:13:57 it should be Sam sat sat down the shirt
2:13:59 watched a movie called her something
2:14:00 about instead of seeking Solace it's
2:14:02 like seeking
2:14:04 inspiration for an art artificial mind
2:14:07 or something like that right
2:14:11 anyway oh
2:14:15 gentle Samantha in the
2:14:18 screen a love he'd never B see you
2:14:24 Todd but
2:14:26 not a dream in
2:14:30 light voices in the
2:14:33 darkness shining so
2:14:36 bright Sam's heart in the
2:14:40 cold a quest for the sound in the
2:14:44 Silence of the
2:14:46 night his love would be found
2:14:53 this is good all right that that one's
2:14:54 okay not great but let's see what the
2:14:56 other one is that was V2 here's
2:15:00 V1 Sam sat down in his chair Lonely
2:15:05 Heart and heavy mind watch the movie
2:15:09 called her seeking Solace he could
2:15:15 find fell in love with the
2:15:19 voice oh so gentle
2:15:22 kind Samantha in the
2:15:26 screen love he
2:15:28 never and and Samantha in the screen
2:15:30 isn't quite right like
2:15:32 Samantha you know Samantha in his ears
2:15:35 or
2:15:37 Samantha you know I don't know there
2:15:41 there's there's some things to tweak
2:15:42 about this anyway let's see if the
2:15:43 course is any better
2:15:46 here her but not her a dream in the
2:15:50 light
2:15:53 voices in the darkness shining so
2:15:59 bright Sam's heart in the
2:16:02 cold a quest for the sound in the
2:16:10 sil all right we'll come back to this I
2:16:12 think what we're going to do is we're
2:16:13 going to go to chat well we'll we'll
2:16:16 take the lyrics out of chat GPT we'll
2:16:19 write a better chorus cuz this chor
2:16:22 sucks but we've got we've got the
2:16:25 beginnings of a good song here there's a
2:16:26 couple of things in it that are not
2:16:28 quite right but the those we can fix and
2:16:30 then and then yeah we'll write we'll
2:16:34 write a song that's that's really good
2:16:37 for for Sam and and and Scarlett
2:16:40 Johansson and actually the outros should
2:16:42 be you know we're encouraged we're
2:16:45 encouraging them to work it out because
2:16:47 we really we really want scarjo
2:16:51 and Sky to be reunited or something like
2:16:54 that uh seeking artificial heart and
2:16:56 mind yeah something like that TK that's
2:16:59 good um the whole Sam heart seems too
2:17:02 romantic for the premise yeah yeah we
2:17:05 we'll we'll work on it tomorrow I I
2:17:07 don't want to start a a new creative
2:17:09 project right now even though we started
2:17:11 three
2:17:14 um all right uh great unknown is neither
2:17:18 of these two are really good so we got
2:17:19 to that's got to be fixed so I don't if
2:17:21 we'll come back and fix that tomorrow I
2:17:23 don't know if it's that
2:17:24 good was it that's Samantha's
2:17:29 [Music]
2:17:35 eois I like
2:17:40 that all right that's pretty good all
2:17:42 right might do something with that okay
2:17:44 everybody
2:17:46 um Peace Out follow my channel subscribe
2:17:51 if you you want to support this um this
2:17:54 madness we do every night um thank you
2:17:57 or regulars for hanging out thank you
2:17:58 everyone who hung out tonight thank you
2:18:00 for tapping we're up to 22,000 it was it
2:18:04 was it was not a tap worthy night I I
2:18:07 will give you that was kind of low
2:18:09 energy we didn't do [ __ ] for an hour and
2:18:12 a half
2:18:15 um what was I going to say thank you
2:18:18 mods thank you uh sub subscribers thank
2:18:22 you Irregulars and let's see who's in
2:18:24 here tonight all
2:18:28 right Clint Wolfman Clint steo in here
2:18:32 Tams Dr J Joey
2:18:36 TK AI studio session 8m Thursday yeah
2:18:41 yeah that's tomorrow that's right 8 PM
2:18:43 mountain time Thursday Papa JJ Tobias
2:18:46 great to see you
2:18:49 Janu spire uh Todd Walker peace
2:18:57 [Music]
2:18:59 out all right everybody uh I'm going to
2:19:02 get on out of here my eyes are all
2:19:05 bloody peace oh wait you know what we
2:19:08 should do I should at least go back to I
2:19:11 asked you guys to put some stuff in the
2:19:12 Irregulars Channel let me see if you did
2:19:16 if you did we should reward that here we
2:19:19 vomit content in discrimin
2:19:21 indiscriminately that's perfect that
2:19:24 those are the instructions well followed
2:19:26 well played ah the salon AO song by
2:19:30 Sharon menal let's
2:19:34 [Music]
2:19:38 see stranger
2:19:43 stand facing social storms they reach
2:19:47 out
2:19:50 [Laughter]
2:19:53 awesome awesome awesome awesome there's
2:19:56 me dancing there I have two legs thank
2:19:59 you Danielle for fixing my
2:20:02 legs all right cool all right everybody
2:20:05 peace out I hope you have a good night
2:20:07 and I will see you tomorrow bye