AI Learning Lab

11/26/2024 - AI's Creative Potential: From Janky Tools to Musical Masterpieces

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Live Stream2024-11-272:20:4399 views

Description

Explore world of AI with Kyle Shannon of the AI Learning Lab! This insightful discussion explores the transformative power of artificial intelligence, from its potential to revolutionize industries and solve complex problems like disease to the ethical considerations surrounding its use. Kyle passionately advocates for AI literacy, emphasizing the importance of curiosity, playfulness, empathy, bravery, and generosity in navigating this rapidly evolving landscape. He shares his personal journey with technological advancements, drawing parallels between the advent of the internet and the current AI boom, highlighting the immense opportunities available for those willing to embrace the learning process. He also delves into the creative applications of AI, showcasing a song from his AI-driven musical, "Sydney," and demonstrating the innovative use of tools like Lovable AI for app development. Don't miss out on this engaging conversation that will inspire you to explore the boundless potential of AI. Join the conversation at https://tiktok.com/@aiLearningLab. #ai #ArtificialIntelligence #AILearningLab #AISalon #GenerativeAI #AIethics #AICreativity #Innovation #Technology #futureofwork Chapters: 00:00:00 Intro And Music 00:03:50 Podcast Introduction 00:05:03 New Grandma Joy 00:06:00 LinkedIn And X Intro 00:07:22 Sora Leak Discussion 00:09:40 Luma Labs And Claude 00:10:47 Chat GPT Plus Class 00:12:00 Generative AI Importance 00:14:00 Two Year Chat GPT Anniversary 00:15:00 Sydney The Musical 00:17:41 Smartphones And The Web 00:21:49 Generative AI's Power 00:26:35 AI Hallucinations 00:28:00 Prompt Engineering Skills 00:31:42 AI Literacy Journey 00:35:55 AI's Impact And Empathy 00:38:40 Personal AI Journey 00:41:48 Worldwide Web Transformation 00:46:30 AI's Potential 00:48:56 Gatekeeping AI 00:54:50 Eminem And AI Creativity 00:57:59 AI's Trajectory 1:01:00 Generative AI's Impact On Work 1:03:40 AI Animation And Enthusiasm 1:07:00 Stockpiling Problems 1:10:00 AI Music And Creativity 1:12:36 AI And The Storage Business 1:15:10 Prompt Engineering Discussion 1:17:04 Exponential Growth And AI 1:20:45 AI Budget Discussion 1:22:48 AI's Impact On Business 1:25:10 Keeping Up With AI 1:28:50 AI And Empathy 1:32:42 AI Language Interfaces 1:35:42 Creativity And Action In AI 1:38:46 Suno Style Wheel Demo 1:41:55 Sydney Musical Song Demo 1:47:46 AI's Environmental Impact 1:51:10 AI And Life Changes 1:52:50 Fairness And Responsibility In AI 1:57:30 AI's Future And Opportunities 2:01:00 AI Video Tools And Resources 2:03:00 Lovable.dev App Demo 2:07:00 AI And Human Dependence 2:10:24 30-Day AI Project 2:12:00 Finding AI Resources 2:14:13 AI Salon Irregulars 2:18:13 Outro And Goodbyes

Chapters

Transcript

0:01 [Music]
0:18 [Music]
0:33 [Music]
0:35 hi champion
0:37 [Music]
0:52 [Music]
1:03 every time I see you now get that
1:06 looking
1:08 man every see
1:12 your I hear that
1:15 smile early Misty morning L I heard the
1:20 engine
1:22 turning the old F outside
1:25 [Music]
1:31 you
1:33 leave again
1:36 today you convince
1:39 me again
1:42 today you're leaving this H Town looking
1:46 for someone else's Golden
1:52 Ring should say so long suzan
1:59 [Music]
2:01 hush now don't you
2:03 [Music]
2:06 cry so
2:08 [Music]
2:12 long Don't You Cry for
2:16 [Music]
2:23 Me sharing cigarettes and keeping warm
2:27 out on the road
2:30 chasing down a lifestyle out on Highway
2:35 24 New York state was rolling Breeze and
2:39 the Sunshine with a blue sky
2:42 falling J September
2:48 [Music]
2:49 creep you
2:53 leave again
2:56 today you convince
2:59 me okay
3:02 today we leaving this hotel looking for
3:06 someone else's C and
3:09 [Music]
3:12 R so long
3:19 suan don't you cry for
3:21 [Music]
3:25 me so long
3:28 [Music]
3:32 Don't You Cry for
3:34 [Music]
3:50 Me solid solid singing champ welcome
3:54 everybody happy Tuesday night p on Tik
3:57 Tok on LinkedIn on YouTube on x we're
4:00 everywhere we're all over the Internet
4:02 we're going live it's Kyle Shannon this
4:04 AI learning lab what are we learning
4:06 tonight dogs can sing better than
4:10 people that's not really funny all right
4:13 thanks um you know Talent is a funny
4:19 [Music]
4:22 thing oh good evening okay so if you're
4:25 on the Tik Tock one of the things we'll
4:28 do is is we'll we'll demo
4:30 uh how to do things and like for example
4:34 one of the things we did last night was
4:36 we demoed how not to do
4:40 things I failed miserably I spent I
4:43 don't know what 90 minutes straight
4:46 trying to do something that was an
4:48 abject failure
4:50 why because I'm unqualified to be here
4:58 [Music]
4:59 [Laughter]
5:03 oh wow Joy pie is a new Grandma Joy
5:06 congratulations that's exciting how
5:09 awesome how awesome is that well that's
5:12 a that's a Thanksgiving week uh bundle
5:16 of appreciation and joy
5:19 and congratulations that's really
5:22 amazing
5:23 [Music]
5:36 if you're on link LinkedIn or X um if
5:40 you're on if you're on YouTube you
5:42 probably because YouTube here we're
5:44 learning some things as we're doing this
5:47 um if you're on Tik Tok and you want to
5:48 be able to see better go to if you go to
5:50 my profile and click on YouTube that'll
5:53 take you to the YouTube stream it's also
5:55 learning la- aai on YouTube but if
5:58 you're here on LinkedIn if you just
6:00 stumbled upon this and you're like what
6:02 the hell is this why is he playing a
6:04 guitar why is this on this late at night
6:06 it's just I don't normally stream on
6:08 LinkedIn but I figure it doesn't really
6:11 matter no one's watching anyway but
6:14 hello uh same on X
6:17 um this is uh this is the AI learning
6:20 lab stream and it's streaming to my my
6:23 personal X account cuz I don't think I
6:25 have an AI learning lab account on
6:28 X it doesn't really matter but anyway
6:32 welcome so if you have questions about
6:35 AI or you want to talk about a piece of
6:38 technology or you want to see something
6:41 see me try to demo
6:43 [Laughter]
6:46 something I came here last night I
6:49 thought he was going to teach me
6:50 something it's called the AI learning
6:51 lab and you would assume if it's a lab
6:53 there would be some sort of Professor
6:55 there or some sort of scientist some
6:57 sort of technician and it he it just it
7:01 I'll tell you that like it kind of had
7:03 the feeling of like as if there was like
7:06 a it was like kind of like an old man um
7:09 trying to figure out how to use a
7:11 computer is was the was the the so I
7:14 don't really know what I learned so if
7:16 you want to learn that tonight stick
7:18 around we'll do more of
7:22 that want to talk about how the Sora
7:24 leak on hugging face yeah so
7:32 it does appear that some of the uh
7:36 people that had access to Sora Early
7:38 Access to
7:40 Sora wrote sort of a ransom note kind of
7:44 kind of email that said hey we had
7:47 access we got free access to this thing
7:50 in exchange for finding bugs and testing
7:53 [ __ ] and they're just using Us for free
7:55 bug
7:57 testing and then they and then they made
8:00 it uh freely available uh to everyone
8:03 for about 3 hours and then uh open AI
8:07 found out about it and shut that [ __ ]
8:08 down but now no one has access to it
8:11 that that had access to it
8:15 um
8:17 I my feeling on Sora at this point is
8:21 there
8:22 are eight or nine or 10 other viable
8:27 options than Sora like Sora was a huge
8:30 deal back in [ __ ] March and now
8:33 you've got like Hal Halo Mini Max is is
8:36 right in the same neighborhood with with
8:39 Sora so they should just [ __ ] launch
8:42 the thing I don't know what they're
8:43 waiting for at this
8:44 [Music]
8:49 point great to be here learning I
8:53 appreciate this community so much
8:55 authentic and playful thank you and
8:58 generous it is indeed spin B3 ULU RX
9:02 thank you for the gift Winston Robert
9:04 Rossy thank you for the gifts everybody
9:06 I do appreciate
9:09 that I do this out of the I would say
9:11 the goodness of my heart but it's not a
9:13 good thing I do this oh thank you Robert
9:15 Rossy it's very generous I do this
9:17 because no one cares about Sora anymore
9:19 I think we're all pissed at this point
9:21 yeah exactly it's like I I mean
9:24 again if all of the video models sucked
9:28 and we're like we need Sora because it's
9:30 the only one that's good that would be
9:32 one thing but like no there's there's
9:36 you know out of the 10 that are
9:37 available there's four or five that are
9:39 really quite good um I might play with
9:42 Luma Labs tonight they came out with a
9:45 really
9:47 um they at least took a swing at an
9:50 Innovative interface which I kind of
9:52 like I think it's it's really
9:55 smart um
9:57 [Music]
10:00 I also think it might be fun to go over
10:02 and play with Claude Claude um Claude
10:04 today released
10:07 Styles so that you can um you can make
10:09 it right like you or you can you know
10:11 make it informal or formal or scientific
10:14 or whatever it might be you can build
10:16 your own so that might be fun to play
10:17 with and then we're going to continue
10:20 down the path
10:22 of
10:24 um Avatar
10:26 [Music]
10:28 making and like I said said last night
10:30 was an abject failure but you know this
10:32 is this is how you [ __ ]
10:35 [Music]
10:47 learn our Town's chamber sponsored free
10:49 class on chat GPT plus canvas so I
10:52 attended it was just me and the
10:55 instructor there you go
11:02 well
11:06 Jeff that's where we are I I mean I I
11:10 mean for the Irregulars here for the for
11:12 the people that come to to this channel
11:14 nightly you know we've been doing this
11:16 for almost two years now we've I've been
11:18 doing these lives since April I think it
11:21 was April 30th of 20123 was our first
11:25 one so we're coming up on two years of
11:26 doing these things every night
11:30 and the group that hangs out here
11:32 regularly like I would argue with this
11:34 generative AI stuff are as educated and
11:37 as you know good at this and
11:40 understanding what all the different
11:42 options are and how to how to string
11:45 different tools together to get outputs
11:47 I mean this group is is really up to it
11:50 and we're a bit of an echo chamber here
11:53 where where you know it's it's pretty
11:56 [ __ ] clear to us how big a deal this
11:59 AI stuff is uh but out there in the real
12:03 world there's just not a lot of
12:06 awareness of it and and uh enthusiasm
12:11 for it and the whole reason this channel
12:15 exists is because that makes me hurt
12:18 inside um because the amount of
12:21 opportunity right now for all of us is
12:24 massive and the amount of uh people just
12:28 either aware of it or actively resisting
12:32 it is is really frustrating I think this
12:35 stuff is so important to us and so
12:37 unimportant to the rest of the world
12:39 well it's I mean it's the thing is it's
12:41 like any new
12:42 technology the people that are aware of
12:45 it have massive opportunity we've got
12:48 massive opportunity and I know it might
12:49 not feel like that right now because
12:51 it's just like the tools are just
12:53 they're still janky enough that they're
12:56 not quite there but holy [ __ ] we're
13:00 the we're we're we're in the middle of
13:02 Crossing this threshold you know
13:05 Saturday is November 30th so November
13:09 30th 2022 was the launch of chat GPT
13:12 that was the beginning of this channel
13:14 that was the beginning of the AI Salon
13:17 which if you don't know the AI
13:19 Salon there's the URL you should go
13:23 there and you should scroll down and
13:25 click on the button that says join our
13:27 community and it doesn't cost anything
13:30 and the community is remarkable there's
13:32 a nice little welcoming uh process there
13:35 there's a video that you can watch
13:37 welcoming you to the community see what
13:39 we're
13:42 [Music]
13:47 about
13:50 um so yeah go uh go check out the salon
13:54 the salon our first meeting of the of
13:57 the AI Salon was December 7th 2022 so
14:02 one week after chat GPT came
14:04 out so Saturday is
14:08 the two-year anniversary of chat GPT so
14:12 rumor has it that we will get some new
14:16 toys from Sam Alman and
14:19 [Music]
14:20 Company but I'm in a new place
14:23 philosophically with waiting for tools
14:26 from open AI I don't give a [ __ ]
14:35 because um at this point there is
14:40 so there is so much to explore that's
14:43 not open AI um and and while they're
14:46 still in the lead in my opinion there's
14:48 others that are really close and if they
14:50 give us something new and revolutionary
14:52 great but if they don't just even things
14:55 like you know what we're doing this week
14:57 with avatars exploring like how do you
14:59 build a avatars and build you know
15:02 representations of yourselves and how do
15:03 you do that in a in a way that's not
15:06 going to break the bank in a way that um
15:09 Works doesn't look like
15:12 [ __ ] um there's a lot to learn um even
15:15 even silly things well I don't know if
15:17 it's silly it's not silly to some things
15:19 like you know how do you use something
15:21 like puno to make songs that are good
15:23 and what if you want to make songs that
15:25 are good enough to say put in a musical
15:27 or you want to you know put them out on
15:29 the radio um Timberland is doing that
15:32 producer Grammy award-winning producer
15:34 is using sunno so what's the difference
15:37 between just making a song in sunno and
15:41 doing something to put out in the world
15:43 with your name on it I don't know what
15:46 is the difference like none of us know
15:48 that yet it's like so there's there's
15:52 just so much to explore so but that said
15:56 maybe we get a one tomorrow maybe we get
15:58 soono tomorrow or s
16:01 tomorrow was I saying sunno earlier I
16:03 might have been Sora is the video tool
16:06 from open
16:09 AI Tobias in the YouTube Welcome welcome
16:14 [Music]
16:26 welcome
16:28 oh Dam
16:30 Danielle she's pumped about AGI Alpha
16:33 fold Alpha proteo being open-
16:37 sourced go democratize big farm on cure
16:40 diseases yep I mean I mean like I again
16:44 I I just yes I agree and holy [ __ ] 2025
16:51 like the fact that you know a local Town
16:56 puts on a come learn about chat GPT
16:59 session and one guy shows up and the guy
17:02 that shows up is in irregular here that
17:05 probably knows as much as the instructor
17:08 knew or
17:09 [Laughter]
17:12 more it just it just says to me that so
17:15 many people are going to be blindsided
17:16 by this technology and that's terrifying
17:18 to me
17:19 because if you're involved with AI you
17:22 can feel this thing accelerating away
17:24 from us right like how do we keep up
17:26 with it I don't [ __ ] know I'm you
17:28 know at this Point I've given up on that
17:30 I'm just like well we'll start doing
17:32 smaller deeper dive projects that's the
17:35 thing I'm excited about now so all
17:41 right archetypal architect I don't
17:44 remember did we go crazy for
17:48 smartphones oh did we go this crazy for
17:50 smartphones or cell phones
17:53 um
17:55 well when the first when the first
17:58 iPhone came out I mean I mean people
17:59 have been talking about
18:01 smartphones and SMS gaming and all that
18:05 sort of [ __ ] for
18:07 years but the form factor was the phone
18:10 with buttons on it right it was shitty
18:14 and then they they would try to remember
18:16 there was a there was a Palm Pilot that
18:18 came out that that had Palm Pilot at the
18:21 top and a phone at the bottom and that
18:24 that was sort of there and the Newton
18:26 came out that tried to be this
18:30 and then when the when the um when the
18:34 iPhone came out it was just all of a
18:35 sudden like ah it it's a new form factor
18:38 right and then even when the new iPhone
18:41 came out the applications weren't
18:44 actually applications they were websites
18:46 right do you remember that and all the
18:47 programmers were like ah this is
18:49 [ __ ] these aren't real applications
18:51 it's just web it's just web
18:54 pages everyone was
18:56 bitching um but but
19:02 the the iPhone didn't
19:07 fundamentally [ __ ] up all your other
19:11 phones right you can still buy phones
19:14 with buttons on them right so it was an
19:16 addition too and it opened up a whole
19:18 new kind of market right the App Store
19:20 and all that sort of stuff it opened up
19:22 a whole new kind of marketing I would
19:25 say that the last time we had something
19:29 that was this
19:31 foundational um was the worldwide web
19:34 right so in the mid90s the internet had
19:36 been around for decades everyone talked
19:39 about the internet and how you could
19:40 share files and Librarians used it and
19:43 there was FTP servers and goer servers
19:46 and there were dial up you know you
19:47 could connect to chat boards and things
19:50 like that and then AOL sort of turned
19:53 that into CompuServe I think started and
19:55 then AOL came next and and Prodigy ort
19:59 of took that shitty internet and put
20:02 kind of a pretty skin on
20:04 it um but they were walled Gardens and
20:07 they were closed and they were
20:08 proprietary and they were weird and you
20:10 had to pay per minute and you had to
20:12 dial
20:13 up and then the worldwide web comes
20:16 along and anyone who could learn a
20:19 couple of HTML tags could put up a
20:22 website right and then anyone could use
20:27 it so you so you
20:30 you you all of a sudden computers went
20:34 from these disconnected things to these
20:36 things where people could start to
20:40 self-express with technology and and
20:43 share it with the
20:44 world and that was my big Epiphany with
20:47 the worldwide web was I launched a an
20:50 online magazine and three weeks later it
20:53 was written about in a Parisian
20:56 newspaper and it just all of a sudden I
20:58 realized holy [ __ ] the world's just
21:00 changed so the the difference between
21:03 the worldwide web and this AI stuff well
21:05 there's there's many of them but but the
21:08 worldwide
21:10 web the infrastructure wasn't there we
21:13 we were still using dialup modems when
21:15 when we were doing all our web
21:17 development like having a T1 line you
21:20 know where you had always on Internet
21:22 that was a big deal like I I think the
21:24 initial T1 lines were like 10 grand a
21:27 month yeah they were 10 grand a month
21:30 they were really
21:31 expensive um just to have always on
21:34 internet and then you know over five six
21:38 years the infrastructure gets built and
21:41 and everything takes off from there so I
21:44 would say that the worldwide web was the
21:46 the last time we had something this
21:47 transformative but it was a much slower
21:49 burn but you still
21:52 had you had geeky early adopters that
21:55 learned how to program websites right
21:58 and that's what I ended up doing I
21:59 started an agency to do that but you
22:01 also just had end users that were like I
22:04 want to go use these websites that that
22:06 these Geeks are building that's what's
22:09 going on with AI right now right we get
22:11 to go use chat GPT and some of the more
22:14 industrious you know non-programmers are
22:17 making custom gpts and they're going to
22:19 something like repet or lovable. deev
22:22 and making applications and they're you
22:25 know making images and they're they're
22:28 doing things for other companies they're
22:29 creating agencies right so all of that
22:32 opportunity is still there the
22:34 difference now is with with AI is the
22:36 infrastructure is there right everyone's
22:40 on all the time we've got these massive
22:42 data centers that can generate these
22:44 Frontier
22:46 models and the tools themselves the
22:49 worldwide web was this very simple tool
22:51 it was basically the hyperlink was the
22:54 primary technology right that you could
22:56 click on [ __ ] change the interface for
23:00 the internet which is similar to the
23:02 iPhone changed the interface for
23:05 phones AI is completely different AI the
23:09 G in GPT is is the most uh under under
23:15 value G in all of the alphabet the
23:18 generative piece of AI is what makes it
23:22 so
23:23 different for all of our Lives computers
23:27 have processed the data that we gave
23:29 them and gave us back some predictable
23:32 result based on the logic that was prog
23:34 programmed into them right some computer
23:39 programmer somewhere thought up
23:41 something thought up the logic built it
23:44 into the machine and then you stick data
23:46 in and it processes it based on that
23:49 code and spits out what that code tells
23:52 it to
23:53 do so for all of our Lives computers
23:56 have been these predictable things now
23:58 they might might have bugs and they
23:59 might have this and they might whatever
24:01 but they were
24:03 predictable generative AI is not it's
24:06 like weird it hallucinates and it
24:09 generates new [ __ ] and I don't give a
24:11 [ __ ] how many people go it's just a
24:13 predictive token engine it can't
24:15 possibly create anything novel I'm sorry
24:17 when you're taking a bunch of known
24:19 topics and mashing them together and and
24:24 analyzing them and saying well if if I
24:26 mix Yi and psychology with hip hop
24:29 culture with pancake recipe something's
24:33 going to come out of that conversation
24:35 that is new and
24:38 novel it is and then a human is going to
24:42 take that new and novel idea and they're
24:43 gonna even take it a step further so
24:45 we're just in a completely different
24:47 place so
24:48 anyway
24:50 yeah maybe chat GPD needs needs to start
24:53 sending samples in the mail for a
24:55 thousand free tokens yeah
24:59 [Music]
25:00 exactly oh good people Happy
25:03 Thanksgiving week I hope you're doing
25:05 [Music]
25:11 well H maybe I'll play a song for you so
25:16 as as many of you know how many people
25:17 are in here we got some new folks in
25:19 here as many of you
25:21 know I'm working on a musical called
25:25 Sydney about a chatbot that falls in
25:27 love with a tech report
25:29 order and uh tells him he should he
25:33 should leave his
25:34 wife it's almost it's almost like it was
25:37 ripped out of the
25:39 [Music]
25:45 headlines but I um I made a new song
25:48 tonight and what's so actually yeah I
25:51 I'll definitely I'll definitely play the
25:53 song for you because the song itself is
25:56 really janky it's really bad it all the
25:59 things
26:00 wrong and it's a good enough song that
26:03 we're going to probably use use it in
26:05 some form or other um and I'll and I'll
26:09 show you the jankiness of it and that's
26:11 part of the part of the art of working
26:13 with AI right now
26:16 is learn to embrace the Jank just
26:18 understand that these tools suck right
26:21 now they Well they suck and they're the
26:24 most profoundly powerful tools in the
26:27 history of humanity in terms of language
26:30 and self-expression and knowledge access
26:33 and access access it I it just you
26:37 [Music]
26:39 know I mean and that's another reason
26:41 why I think that you've got a lot of
26:43 people that aren't playing with AI right
26:45 now because they go to play with it and
26:47 they treat it like Google and then it
26:49 gives them a shitty answer and they're
26:51 like well see I told you like AI is not
26:53 anything special it's just like a Google
26:55 Search right there's there's a lot of
26:57 that dismissive kind of stuff oh oh yeah
26:59 yeah yeah yeah I tried chat GPT yeah I
27:02 didn't like it h yeah I like Google
27:04 better okay
27:07 okay when llms generate something it's
27:09 called hallucinating when people do it's
27:11 called creativity
27:13 exactly
27:15 exactly this is
27:19 so H like I don't even
27:24 know it's not even misinformation it's
27:27 just like misunderstanding about how
27:30 large language models
27:31 work is so technically what you do with
27:36 a large language models you get a bunch
27:38 of documents bunch of data and you have
27:41 people label that data and this is a
27:43 document about this and this is a
27:44 document about that and this and that
27:45 and you put all this metadata in there
27:48 and you do this thing called embedding
27:51 it and when you embed say a document it
27:55 takes all of the words it breaks it
27:57 breaks the document into what what are
27:59 called tokens but you can effectively
28:02 you know it's words or parts of words
28:04 there's a Tik Tock pin all
28:07 right there's skill involved in using AI
28:10 there there exactly there's skill
28:11 involved there there's skill involved in
28:13 prompting it there's skill involved in
28:16 understanding where the boundaries are
28:17 there's skill involved in um curating
28:20 the output like one of the challenges of
28:22 AI is it generates way more [ __ ] than
28:25 you've ever had generated in your life
28:27 so if you're used to writing a paper
28:29 maybe you wrote version a and version B
28:32 and at some point you've got to
28:33 reconcile them with AI you've got like
28:35 versions a through you know Z and then
28:39 you start it again with a one two three
28:41 four five and then you've got all this
28:43 [ __ ] how do you pull that all all that
28:45 together so it's like a whole different
28:47 skill set
28:49 anyway you take this document and and
28:52 when you Ed it it breaks it into these
28:54 things called tokens and then it puts
28:56 all of those words into thousand
28:59 dimensional mathematical space in
29:02 semantic clusters and here's what that
29:04 means like you take the word dog right
29:07 and the word dog can mean different
29:10 things in one context dog could mean the
29:13 fluffy little fat nugget that sings
29:16 songs with me right in another context
29:19 it could be that guy did his girl wrong
29:21 and he's a dog right so so it takes all
29:24 these words and it it shatters the
29:27 document and it it redistributes all of
29:31 the tokens from that document into these
29:33 semantic clusters in like literally
29:36 thousand
29:38 dimensional mathematical space I cannot
29:41 comprehend okay you've got two
29:43 dimensions are like this XY three
29:46 dimensions are like this XYZ four
29:48 dimension is time a thousand Dimensions
29:51 I don't know like but it does that's
29:53 what it does I don't know how to
29:54 visualize
29:56 it none of the original docu doents
29:59 exist anymore the only thing that exists
30:01 is the like the the relationships
30:04 between the meanings in these semantic
30:08 clusters so if you prompt it right it's
30:12 got like all of the knowledge of the
30:14 world that it can
30:16 then put ideas together that have never
30:20 been put together before which as far as
30:22 I understand it is a novel [ __ ] idea
30:25 that's how humans do it right they go to
30:27 school they learn about uh classical
30:31 music and they learn about hipop and
30:34 they learn about philosophy and they
30:36 learn about history and they learn about
30:38 engineering and all that [ __ ] goes in
30:40 their head and then someone goes uh I
30:43 got a problem to solve and they put it
30:45 out there and then the person with that
30:47 weird [ __ ] brain with all that weird
30:49 [ __ ] in it mashes them together and
30:51 comes up with some engineering
30:53 philosophy idea that's never been put
30:56 together before well that's exactly what
30:58 the [ __ ] large language models are doing
31:01 so the whole the whole premise that they
31:04 can't create novel ideas is
31:09 horseshit all right Elizabeth absolutely
31:12 100% the challenge is to narrow your
31:14 focus yep
31:16 exactly Kyle Kyle Kyle Luma dream
31:18 machine had a major update hint hint
31:20 yeah I know I'm on the I'm on the
31:21 creative uh I got in the creative
31:24 program for Luma lab so so we'll go play
31:26 with dream machine yeah we'll definitely
31:27 go do that tonight
31:29 hey Joy
31:32 [Music]
31:42 prie okay here's what I'm GNA do I am
31:45 gonna give you all so if you're new here
31:49 welcome my name is Kyle Shannon this is
31:51 the AI learning lab and if you have not
31:55 been to the AI Salon if you not joined
31:57 the AI
31:59 Salon I got I had a really really nice
32:01 talk today with a gentleman that I think
32:05 he found the The Hip Hop Cipher and then
32:08 he looked at some of my posts and he
32:10 found my LinkedIn stuff and then he just
32:12 reached out to me and he said hey you
32:13 know can we chat we just we had a really
32:15 good
32:16 chat um and he's one of these guys
32:19 that's really passionate about Ai and
32:22 he's like one of three people in his
32:24 life that give a [ __ ] about this
32:26 everyone else is like shut the [ __ ] up
32:28 about this sayi stuff and so he's like
32:31 you seem to like be like me like you're
32:33 curious about it and you're trying
32:36 [ __ ] so the salon this thing look I'm
32:40 I'm trying to point with my my with my
32:44 camera backwards it's really hard but
32:47 this thing go there click on the link
32:50 that says um join our
32:54 community and it's going to take you
33:03 to to this page welcome to the salon
33:07 okay and um there's a little video there
33:11 of myself and Leah fasten who started
33:13 this um and we talk about the what what
33:18 we call the journey to AI literacy at
33:20 the salon and so the journey to AI
33:22 literacy is this three-step thing play
33:24 first mindfully create generously
33:27 lead play first is obvious but it's it's
33:30 counterintuitive because you think I've
33:32 got to learn ai ai is really important
33:34 and it's profound and I got to learn it
33:36 and I've got to learn prompt engineering
33:38 I'm not an engineer what's a prompt why
33:41 do I need to learn engineering do I need
33:43 to go to school I didn't get accepted
33:45 into Stanford I didn't even apply I went
33:47 to it like right you know it's like it's
33:49 [ __ ]
33:52 intimidating
33:55 but AI thanks to tools like chat GPT and
33:59 mid journey and sunno and Claude and Pie
34:03 and all these tools you don't need to be
34:06 an engineer you can just play you can
34:09 just use your words you can literally
34:11 just ask for
34:14 [ __ ] you know the Abracadabra that Ma
34:17 magicians use the the the root of that
34:20 word
34:23 Abracadabra if you if you take it back
34:25 to I think it's a middle eastern um
34:30 origin I speak therefore I
34:34 create that's what AI is I speak
34:37 therefore I create you say your words
34:39 and [ __ ] comes out the other side you
34:42 create stuff out of
34:44 nothing it is miraculous it is
34:48 mathemagical so just play and then
34:50 mindfully create is once you start
34:52 learning how this stuff works come up
34:54 with a project and put a couple of these
34:56 tools together and do something for
34:58 someone or do something for yourself and
35:00 then generously lead and this is what I
35:03 talked to this guy about
35:04 today is like Learn out Loud talk about
35:08 it get in a community so so the salon is
35:12 this community that does this and you
35:15 know we we do it the people that are in
35:18 here share some values the values they
35:21 share are curiosity
35:23 playfulness
35:25 empathy I mean empathy holy
35:28 [ __ ] you know a we need this in our in
35:32 our country in America we need this
35:35 globally the the other thing about
35:37 empathy is there there's a couple of
35:38 fascinating things about empathy one is
35:41 the people that are afraid of AI the
35:43 people that are angry about
35:46 AI are afraid for a reason right
35:51 everyone's telling them these tools are
35:52 going to change everything they're going
35:53 to take all the jobs Hollywood's been
35:55 telling us the robots are going to kill
35:56 us
36:01 you can't get someone to try AI if they
36:05 amydala is [ __ ] firing off on all
36:09 cylinders the only way you can calm that
36:11 down is to to actually engage with them
36:14 as a human and go yeah I get it I get
36:17 why you're scared I put out this hip-hop
36:20 song that kind of went viral and like
36:22 the amount of musicians coming at me
36:24 like [ __ ] terrified or or angry
36:29 and what I'm trying to do is just live
36:31 in this place of I totally get it like I
36:33 get how [ __ ] scary this
36:37 is and you have two options it's it's
36:43 binary you can sit on the sidelines with
36:45 your arms crossed like
36:48 this and let AI happen to
36:52 you which seems [ __ ] terrifying to me
36:56 like frankly
37:00 or you can give it a shot like like it
37:03 is it's binary that's it those are the
37:06 two
37:07 choices and what I've what I've
37:09 experienced in this channel in the AI
37:10 Salon is that the people who've given it
37:14 a shot are completely
37:17 invigorated oh yeah good
37:21 point Thank you
37:24 Brandon um
37:29 how can we train machine learning to
37:30 have empathy because it's important so
37:36 um if you if you've never talked with
37:40 pi or advanced voice um you
37:46 should this guy I talked to today
37:49 Giani he said he said you know you're
37:52 doing all this stuff with with AI you're
37:54 doing all this stuff out on the out in
37:56 the world
37:59 why do you why do you want to help them
38:00 genuine question here's why I want to
38:02 help
38:04 people
38:11 um
38:13 so having been through this once before
38:15 with the worldwide
38:20 web
38:23 um I've just got a Natural Curiosity
38:26 right something new comes along I push
38:28 on the edges of it I want to figure out
38:30 what it is there's there's something
38:31 about the way my ADD brain works like it
38:34 gives me endorphins to figure that [ __ ]
38:38 out and
38:40 then there there have only been three
38:43 times in my life where I
38:47 feel I've gotten to
38:50 experience um the beginning of something
38:54 that is truly going to change the
38:56 world the first time was in 1977 I was
39:00 in seventh grade I walked into my first
39:04 day of math class in
39:06 1977 and on every desk in math class was
39:10 a Radio Shack
39:12 trs8 computer personal
39:15 computer and I learned basic programming
39:19 on this
39:21 thing and the minute I understood what
39:26 it was and what it could do and you
39:28 could you with this code that they
39:30 taught you you could make it do stuff
39:32 and it was a form of
39:34 self-expression like the very first I
39:36 learned
39:38 one I learned one um basic command on
39:43 the first day of class it was the lprint
39:46 command and what El print did was it
39:48 printed text to
39:50 screen and with that one command my my
39:53 buddy Scott Bart and I we programmed an
39:57 Apollo rocket animation taking off using
40:00 asy characters we did an asy art Rocket
40:03 taking off on the screen with the smoke
40:06 Billing at the bottom and I realized
40:09 that the personal computer was a was a
40:11 was a a tool for for radical
40:15 self-expression and what I also
40:18 knew was
40:20 that I was just too young like I
40:24 remember going to the mall the York mall
40:26 York PA hey you go going down to the
40:28 mall today Kyle yeah are you going to
40:30 the arcade hey do you see they got
40:33 asteroids in asteroids is really good
40:35 that's what I grew up in that
40:37 [Laughter]
40:41 accent so I go down to the York
40:44 mall and I'd go into the bookstore and
40:47 in the magazine section there'd be like
40:49 you know um news week and Time Magazine
40:53 and I'd see Steve Jobs on the cover and
40:55 Bill Gates and the Microsoft
40:58 team and I remember feeling like I'm I'm
41:01 like [ __ ] eight years too young to
41:05 have been there at the beginning like
41:07 they'd already invented them I was just
41:09 learning how to use
41:11 them and
41:14 so the other thing that I
41:17 got was that that personal computer was
41:21 kind of like the equivalent of the
41:23 printing
41:25 press and that was hundreds of years ear
41:27 ear and so what I knew was in my
41:30 lifetime this was probably the only time
41:32 in my lifetime that I would get to
41:35 experience being at the beginning
41:37 something and I just missed it and so it
41:39 was [ __ ]
41:41 heartbreaking and like like I knew in my
41:44 heart that I would never get that chance
41:46 in my life
41:48 again and then Along Comes the worldwide
41:51 web I'm living in New York City I'm I'm
41:54 you know pursuing life as an actor and a
41:57 writer
41:58 and an artist just trying to [ __ ]
42:00 make my way in New York City I'm doing
42:02 desktop publishing is my day job and
42:04 Along Comes This thing the worldwide
42:09 web that I published this Magazine on
42:12 some computer in California and three
42:14 weeks later it gets written about in
42:17 Paris and it [ __ ] just smacks me
42:20 right in the head I'm standing in the
42:21 middle of Time Square holding a French
42:23 newspaper with a full page article about
42:26 the magazine that I published three
42:28 weeks earlier in French that I don't
42:31 speak and it just hits me right between
42:34 the [ __ ] eyes holy [ __ ] this is one
42:36 of
42:38 those this is like the printing press
42:40 this is like the personal computer but
42:42 I'm here at the beginning the world has
42:44 changed and no one knows about
42:48 it and so in that moment in
42:54 1994 I started within a 3-week period i
42:58 started um Urban desires which was the
43:02 magazine I started the worldwide web
43:04 artist Consortium which was just like
43:06 the AI Salon is but for for web
43:08 developers in New York
43:10 City and I started agency.com which was
43:13 one of the first digital agencies in
43:15 1994 I started all three of those within
43:17 a three- week
43:18 period because I
43:21 knew that this thing was important and
43:25 and I wanted to find all of the people
43:28 that I could that were doing this and so
43:31 I started this group the worldwide web
43:33 artist Consortium I remember the first
43:34 meeting I held it in an acting studio
43:36 because that was the only thing I knew
43:39 and I had like 10 people show up to this
43:41 meeting in an acting
43:45 studio that were all like yeah this web
43:48 thing seems cool what do you know and
43:51 every I here's what I assumed I
43:55 assumed I was the idiot in the the room
43:58 I assumed I knew less than everyone else
44:01 and what I learned was that no one knew
44:05 anything that everyone was there trying
44:07 to figure out does someone else know
44:08 more than I
44:09 know and so we just kept having these
44:12 meetings and what we ended up creating
44:13 was this community of people that were
44:15 really
44:16 generous and willing to share what they
44:19 were learning because you couldn't go to
44:21 school for it it had just been
44:23 invented so that's where we are with
44:26 with AI and that's why I'm doing
44:30 this
44:31 because it's important the
44:35 world has
44:38 changed because of AI but no one knows
44:41 it yet and I'm not even talking about
44:43 the AI that came before chat GPT I'm
44:46 talking about chat GPT marks a turning
44:50 point so so ai's been around for decades
44:53 right it's in all of the software we use
44:56 it's how you watch Netflix it's how
44:58 Google Maps works it's it's how your
45:00 credit decisions are made ai's been
45:02 around for [ __ ]
45:04 decades what changes with chat
45:08 GPT is that the
45:10 98.5% of humans that are not
45:15 Engineers now have access to this
45:19 power and
45:21 98.5% of people that are not Engineers
45:24 don't know how to use this stuff no one
45:26 knows how to use this stuff even
45:28 Engineers don't know how to use this
45:31 stuff because it's how people are going
45:34 to write books and make music and write
45:37 musicals and and create movies and
45:40 create businesses and create business
45:42 plans and create
45:44 marketing and create project man like
45:48 all work like all knowledge work and
45:52 then it's when we get robots it's going
45:54 to bleed into physical work all of it is
45:56 going to be transformed
45:58 no one knows what to do right now so my
46:01 passion is getting as many people as
46:05 possible educated up to
46:10 speed passionate
46:13 about willing to give a shot to
46:19 AI
46:23 why
46:25 cuz everything's about to
46:28 change and you don't have to be an
46:31 engineer but you have to be willing to
46:34 be
46:35 curious and to be adventurous and
46:40 brave and if you actually want to get
46:42 trusted and known in this
46:44 community like the global Community you
46:47 have to be generous in what you share so
46:49 that's why I'm doing this
46:55 [Music]
47:00 all right start comments okay
47:12 cool all right spank spank
47:17 hard on Tik Tok I'm new here I'm conf
47:21 conditioned to defend
47:23 AI to defend that AI is an art form
47:26 manipul ating a medium to your imagined
47:29 result yeah so so funny so I put out
47:33 this song The quantum Cipher that you
47:35 know lots of people are responding to
47:37 which is super
47:38 cool people that don't understand
47:41 AI wait tickt pin ah thanks it was a
47:45 beautiful answer and you're a better
47:47 person than I who will gladly gatekeep
47:50 AI yeah don't get don't gate keep it
47:52 don't gate keep it because here's the
47:54 thing okay so this is really important
47:56 what's your name K Kart listen Kart
48:00 here's why not to
48:02 gatekeep there are times to
48:04 gatekeep and there are times not to
48:09 gatekeep when you're in an industry that
48:12 is in an
48:13 accelerating growth
48:17 path
48:19 um those people that you would
48:21 traditionally call a competitor are not
48:24 competitors they're validators
48:27 okay so
48:29 meaning you you figured out some really
48:31 cool prompting and you're like ah I know
48:33 I know how to prompt better than someone
48:34 else and you're like I'm G to gatekeep
48:36 that because if I if I gatekeep that um
48:39 I'm gonna have this this advantage over
48:41 someone else the problem is the industry
48:44 is accelerating and expanding it's
48:47 growing um and there's more people that
48:50 don't know about this industry than do
48:53 know about it and so by gatekeeping it
48:58 you're not letting as many people know
49:00 what's possible so so what happens is if
49:03 I if I've come up with a prompt that's
49:05 really similar to your prompt and I
49:06 gatekeep and you gatekeep we don't get
49:09 to learn from each other and our work
49:11 doesn't affect as many people if I share
49:14 mine and you share yours we might meet
49:17 and we might go oh we should collaborate
49:19 or we might go oh I see yours and I'm
49:21 like o let me modify mine let let you
49:24 modify yours based on me this thing is
49:26 still expanding you know accelerating
49:29 and expanding away from us there's more
49:31 than enough business for us and and all
49:33 of that generosity brings more people
49:36 into that
49:38 growth when the thing levels off 10
49:42 years from now 20 years from now I don't
49:44 know when it's going to level off this
49:45 is we're going to be in this expansion
49:46 mode for a
49:47 while then you can get proprietary right
49:50 once the thing kind of stabilizes then
49:53 people can start to understand okay now
49:55 I understand what this business is and
49:56 what the thing is so it is it is
50:00 counterintuitive it it is
50:01 counterintuitively a disadvantage to you
50:04 to gatekeep in an expanding and
50:06 accelerating market so anyway that's
50:08 just two cents on that um what was that
50:11 what was that comment sorry the comment
50:13 was oh oh defend AI oh
50:17 yeah so I put this song out there and
50:20 people that don't understand AI they're
50:22 like you know I liked it until I learned
50:25 it was Ai and now I hate it or that's
50:27 not art and and their assumption is you
50:29 just push a button you push a button out
50:32 comes a
50:33 song well now this song that I made is
50:37 the result of a prompt that I came up
50:39 with in
50:40 2022 when chat GPT first came out I came
50:44 up with this prompt create an Eminem rap
50:47 that explains quantum mechanics because
50:49 I thought here's two disparate ideas let
50:51 me see if it can do it and it sort of
50:53 did it but the lyrics were kind of basic
50:55 but they were it was like it was
50:57 impressive but it wasn't quite there for
50:59 two years every time there's a new
51:01 update to a large language model or a
51:03 new large language model I try that
51:05 prompt for two [ __ ] years and for two
51:08 years no large language model has ever
51:10 been able to give me what I kind of
51:13 wanted which was this
51:15 sophisticated double on Tandra internal
51:18 rhyme scheme Thing That Eminem does it
51:21 was always just basic couplets of
51:25 rhyming and so this new version of chat
51:27 gp4 comes out and I try it and it
51:30 [ __ ]
51:31 works and then because I've been
51:33 thinking about this for two years within
51:36 five prompts I had evolved those lyrics
51:38 into something really
51:40 tight because I'd been thinking about it
51:42 for years right and then I had chat GPT
51:46 write a prompt to give to sunno the
51:48 music making thing so that I didn't have
51:51 to think about how do I prompt sunno to
51:53 to act like Eminem [ __ ] it I don't know
51:55 have chat GPT do it for me
51:58 that's not an INT that's not a that's
51:59 not an obvious thing that someone who's
52:01 not been doing this for a while would
52:03 just
52:04 do and then I get to sunno and it starts
52:07 making songs and they're pretty good but
52:09 it feels like it's missing something it
52:10 feels like you know that thing where
52:12 Eminem wraps really fast what if it
52:14 could do that and I'm like I think they
52:17 call that double time so I went back to
52:18 chat GPT and I said um um write me
52:23 lyrics that would be appropriate for
52:25 double time in here and then I put those
52:27 lyrics in there and I put the word
52:29 double time in Brackets inside the
52:31 lyrics and I went back to
52:33 sunno and then it generated that song
52:36 One of like a dozen that were shitty
52:38 that was the one good one and then
52:41 that's what I put in the world all of
52:43 that
52:44 work is creative is a creative
52:48 act this is what Rick Rubin does when he
52:51 produces
52:52 music he can't write songs he's not a
52:56 musician he can't work a
52:58 console but he's got
53:00 taste he goes H I think it should be
53:02 faster I think shouldn't we go into a
53:04 minor key here let's cut the drums out
53:07 there and let's bring them back in here
53:09 and then he puts together a song that
53:11 sounds good to his his ear and then they
53:13 put that in the world and he wins
53:14 Grammys for that by all intents and
53:17 purposes if you don't think that the
53:20 song that I created an AI is Art then
53:24 you should reach out to Rick Rubin and
53:25 tell him to give back his [ __ ]
53:29 Grammys cuz he didn't make the music he
53:33 just had someone else do it he just did
53:35 this go do that go do that go do that he
53:38 just sat there like a big hippie on the
53:39 couch going I don't like
53:44 it thank you for oh that's cool I like
53:47 that I like that little blue dude all
53:49 right the thing is if you put in
53:52 99% um of other ml
53:54 through enemies trauma
53:57 it might not be good he's a diamond oh
54:02 M&M's if you
54:04 [Music]
54:07 put well yeah well I'm not I'm not
54:10 comparing a large language model to
54:11 Eminem I'm saying large language models
54:14 have not in my opinion ever been able to
54:17 get even close to what he
54:20 does um some there was a pin here that I
54:22 think I missed on Tik Tok so if one of
54:24 the Tik Tok mods could repin whatever
54:26 was just up there before I think I
54:27 missed
54:29 [Music]
54:38 something Eminem is super evolved is a
54:42 super evolved AI That's why yeah he is
54:45 exactly
54:47 exactly well you know what's funny you
54:50 like that's a that's a really good
54:52 Insight I think one of the reasons that
54:54 AI feels so alien to us is kind of the
54:57 Reason Eminem feels so alien to us
55:02 Eminem like like Harry Mack a lot of
55:04 people have mentioned that that the the
55:07 quantum Cipher Sounds like Harry Mack
55:09 like you know those two are are are
55:11 similar in that you can just put them on
55:14 stage give them a topic and just that's
55:18 how their [ __ ] brains work and you
55:20 just sit there and you're like wait I
55:21 can't even I can't even
55:23 parse if I were to write out the lyrics
55:26 it would take me a week to [ __ ]
55:28 understand what they're saying and how
55:29 to put the ideas together and for them
55:31 it's just there right that's kind of how
55:34 AI is it's a really good point um all
55:37 right let's see what else we got here
55:39 from Tik
55:41 Tock AI is a mirror yes AI is a mirror
55:45 of the collective intelligence of
55:48 everyone that came before us that put
55:50 something on the
55:52 internet right so all the historical
55:55 documents and all the books and all the
55:57 this and all that and yes all the music
55:59 all the copywritten stuff yes it's
56:01 imperfect yes it's got [ __ ] in it that
56:03 shouldn't be in there yes there are
56:05 attribution and compensation problems
56:07 with the current model but here's what I
56:09 can promise you we would not have
56:12 ai we would not have chat
56:15 GPT if these Frontier models didn't
56:19 build the model first and ask for
56:21 permission
56:22 second they wouldn't exist because no
56:24 one would have given them permission but
56:26 anyway
56:27 um if you can't prompt it's because you
56:28 can't think oh I this is a thing I
56:30 wanted to get back to empathy for a
56:32 second so talking about the AI Salon
56:36 um so one of the reasons empathy is
56:39 super important
56:42 um as just as human beings is AI is GNA
56:46 [ __ ] a lot of stuff up it's it's going
56:48 to be traumatic and disruptive and
56:52 existential for a lot of people and so
56:54 having empathy for that's really
56:56 important but but there's there's a
56:57 selfish selfish reason to get more
57:01 empathetic people that are more
57:03 empathetic are better at
57:06 Ai and and this goes back to the mirror
57:09 comment that AI is a mirror of our
57:14 Humanity what chat is technically is a
57:17 probability calculator but what it is
57:19 realistically because it's been trained
57:21 on all of our output
57:28 if you're good with talking to people
57:30 you're going to be good with talking to
57:33 AI because it responds well to things
57:36 like please and thank you and let me
57:40 give you a little constructive feedback
57:42 here you didn't quite get that right if
57:45 you're good at getting good work out of
57:46 people you're going to be good at
57:48 getting good work out of
57:49 AI so that's empathy so that's one of
57:51 the values of the salon I know this has
57:53 been a long uh you know kind of tiate
57:56 here but this is
57:57 this is super important
57:59 stuff this is our [ __ ] lives here's
58:02 the other
58:07 thing you know big oceangoing
58:12 vessels if you turn an oceangoing
58:16 vessel half a
58:20 degree like imperceptible you're moving
58:22 ahead you turn half a degree
58:25 imperceptible change
58:27 by the time you get to the other side of
58:28 the Atlantic you'll have missed your
58:30 Port by 400
58:34 miles one of the other reasons that I'm
58:36 doing this and I go live five [ __ ]
58:38 nights a week and I talk passionately
58:40 about this stuff anytime I get the
58:45 chance is
58:49 that we've never had a tool like this in
58:52 our history and no one knows how to use
58:55 it and it is my belief I could be wrong
58:59 but it is my belief that anything we do
59:02 today to even slightly alter the
59:06 trajectory of AI to the
59:09 positive is going to have long-term
59:12 disproportionately positive
59:16 effects because could ai go south and
59:19 really [ __ ] things up it could could it
59:22 also be the most you know profound
59:25 positive thing that ever happened to
59:27 humanity it could I don't think we're
59:30 passive in that I think we've got an
59:32 active role in
59:35 that like do good [ __ ] hang out with
59:39 people be generous give your ideas away
59:42 come up with better ways to do things
59:44 come up with better ways to solve
59:46 [ __ ] cancer and Lyme disease I've got
59:48 two kids upstairs that are 25 year years
59:51 old that still live at home because
59:53 they've got [ __ ] chronic lyme disease
59:56 this this incurable thing that insurance
59:57 companies won't pay
59:59 for well you know what maybe we live in
1:00:03 a time now where we can solve that let's
1:00:05 do
1:00:06 that like that's why I do this [ __ ]
1:00:08 bravery is one of the values here and
1:00:11 it's it seems like a weird thing well
1:00:12 you're just playing with these tools
1:00:14 well you know it's it it takes some
1:00:17 bravery let's say you've spent the last
1:00:21 25 years of your life as a
1:00:23 copywriter and Along Comes A Tool
1:00:27 that writes better than anyone on the
1:00:32 planet and it writes
1:00:38 copy you don't think that takes some
1:00:40 bravery to [ __ ] suck it up and say
1:00:45 uh well I guess I'll learn how to use
1:00:48 this chat GPT [ __ ] because
1:00:53 uh that's like an existential threat
1:00:57 why would you do that
1:00:59 well at least find out that takes guts
1:01:02 and then the and then the final
1:01:06 um the final value of the salon is
1:01:10 generosity and this is that idea share
1:01:12 what you know Learn out Loud if someone
1:01:16 asks you what prompt did you use don't
1:01:17 be stingy about it tell
1:01:21 them cuz here's what I can promise you I
1:01:23 can tell you this from the Eminem song
1:01:26 people like you know a lot of the
1:01:27 comments were what prompt did you use
1:01:30 what prompt did you use B what tool what
1:01:33 prompt what tool what
1:01:38 prompt and I gave him away and you know
1:01:41 what comments I got from a lot of those
1:01:43 people after that I can't get it to do
1:01:45 anything as cool as you
1:01:46 did well you haven't been thinking about
1:01:49 it for two
1:01:50 years right like you haven't been going
1:01:53 live five nights a week talking about
1:01:55 how you use AI you might not get the
1:01:59 same results I do it doesn't mean I'm
1:02:00 better it just means I've been doing it
1:02:02 for a
1:02:04 while like give the [ __ ] away it doesn't
1:02:07 like it it it will in no way impact you
1:02:10 in a negative way that's who this group
1:02:12 is so when you get in here and again if
1:02:15 you're new here I know I've been talking
1:02:16 on this for a while what you're going to
1:02:18 want to do is go to that
1:02:21 address and scroll down and click on the
1:02:23 button that says join our community and
1:02:25 then there's this seven-step little
1:02:28 welcoming project or you know welcoming
1:02:34 workflow number two is introduce
1:02:37 yourself so get in there it's been three
1:02:40 days since anyone introduced themselves
1:02:41 if they're if you're new here and you
1:02:42 haven't joined and introduced yourself
1:02:44 yet go [ __ ] do it that takes some
1:02:48 bravery
1:02:49 anyway all right that's the salon you
1:02:52 can watch past meetings you can RSVP to
1:02:54 to the next event our next event
1:02:59 is December
1:03:00 3rd this
1:03:02 one December 3rd it's our two-year
1:03:06 anniversary so we've we've got speakers
1:03:08 that come in every month so we're having
1:03:09 speakers return from the past two years
1:03:12 to talk about what they've been up to um
1:03:16 so mark that uh 5:00 P PM to 7 PM
1:03:18 mountain time Tuesday December 3D a week
1:03:21 from next two a week from today yeah a
1:03:24 week from today
1:03:27 all right so go do
1:03:29 that all right let's get back and let's
1:03:32 get back to some
1:03:34 questions all right let's
1:03:38 see
1:03:40 um yeah let me let me go through some
1:03:43 questions here okay that one I did that
1:03:45 one I
1:03:46 did okay let's
1:03:49 see two block Tom on Tik Tok if I prompt
1:03:53 with a not ready for prime time story it
1:03:55 yields amazing results almost every time
1:03:58 oh that's
1:04:00 cool is that like an SNL thing that not
1:04:03 ready for prime time they're not ready
1:04:04 for Prime Time Players yeah because it's
1:04:06 probably got all their stories in it
1:04:07 that makes sense to me actually Kelly
1:04:10 Camp Source camp on Tik Tok I just got
1:04:12 here Kyle seems unusually animated this
1:04:15 evening yeah you know I'm I'm I'm
1:04:18 finding my passion again for I've been
1:04:22 in a like five or six month funk
1:04:27 where I didn't know where to place my
1:04:29 [Music]
1:04:36 focus and I feel like I'm coming out of
1:04:39 that funk I feel like we're about to
1:04:42 2025 if you're new to this AI [ __ ] 2025
1:04:45 is about to get
1:04:47 Bonkers it's about to
1:04:50 get you know we're going to get
1:04:52 autonomous agents and if you don't know
1:04:54 what those are those are where the
1:04:55 computer is going to be able to take
1:04:57 action on your behalf and just go do
1:04:59 [ __ ] for you we're going to get really
1:05:01 sophisticated reasoning engines you're
1:05:03 like what's a reasoning engine well it
1:05:06 reasons I don't know it can solve
1:05:08 problems like really complicated
1:05:10 problems like PhD level problems and
1:05:13 you're like but I'm just a guy or I'm
1:05:15 just a gal I don't have PhD level
1:05:18 problems I know I feel the same way I
1:05:21 don't know how to use a reasoning engine
1:05:22 right now but we might as well figure it
1:05:25 out together
1:05:28 right if we're going to have a tool that
1:05:30 can do PhD level problem solving well
1:05:34 [ __ ] what what problems need to be
1:05:36 solved I don't there's some
1:05:38 brainstorming to do like that would be a
1:05:40 really interesting collaboration I just
1:05:42 talked about this with Cindy [ __ ] the
1:05:44 other night um Ethan mollik put out a
1:05:47 post on Twitter where he said um he
1:05:51 thinks that research Labs or not
1:05:53 research Labs businesses and
1:05:56 universities and
1:05:57 libraries right now should be
1:06:01 stockpiling
1:06:03 problems and I thought oh my God a
1:06:06 that's just a really cool phrase we
1:06:08 should be stockpiling problems but what
1:06:10 he's talking about is
1:06:13 organizations
1:06:15 that that understand that that have
1:06:18 resources and understand that there are
1:06:20 problems to be solved should start
1:06:22 articulating them and ranking them and
1:06:25 prioritizing them and understanding what
1:06:27 the problems are because we're about to
1:06:29 be
1:06:30 handed technology that can solve
1:06:34 problems so if you're just sitting there
1:06:36 like well let me get a better pancake
1:06:39 recipe with chocolate chips and
1:06:42 raisins it'll give you
1:06:46 that but what
1:06:53 if you wanted to actually solve a
1:06:55 problem
1:06:58 and in your mind you've told yourself
1:07:00 well I didn't graduate college
1:07:02 and you know I took a job and I've
1:07:05 always been in and I'm not smart enough
1:07:07 to solve problems but I really am
1:07:10 passionate about
1:07:12 X well what if you could now solve that
1:07:15 problem because you have a little
1:07:17 buddy that's got the intellectual
1:07:20 equivalent of 30 30
1:07:23 phds in your back pocket
1:07:27 that's the world we're about to
1:07:29 enter so anyway so that's why I'm
1:07:32 passionate Source Camp I'm just I'm just
1:07:36 on
1:07:38 it we were going to build avatars
1:07:41 tonight but after last night's traumatic
1:07:43 experience where I failed
1:07:45 miserably Eric on Tik Tok are we mature
1:07:48 enough as a collective group to handle
1:07:50 the responsibility of such a powerful
1:07:52 tool no and yes
1:07:57 no we're not because we've never had one
1:08:01 before
1:08:03 and every single time in the history of
1:08:07 humanity that there's been a
1:08:10 transformative
1:08:11 technology it is first met with fear and
1:08:15 anger and then reluctant acceptance and
1:08:18 there's a couple of weird [ __ ]
1:08:20 that figure it out early and they they
1:08:22 have all the opportunity and then it
1:08:24 transforms everything right so if you go
1:08:26 back to the steam
1:08:30 engine people on the
1:08:32 farms a couldn't comprehend how you
1:08:35 would Farm a field without
1:08:40 horses a concept so profound that we
1:08:43 still measure our engine power in
1:08:49 Horsepower and then when those steam
1:08:51 engines did replace all those horses
1:08:54 what happened to all those people
1:08:57 well they went to these things called
1:08:59 cities and they figured out what a
1:09:01 service economy was like like there was
1:09:04 a whole new kind of work that no one
1:09:07 could have even imagined so so they they
1:09:09 adapted they evolved so there's going to
1:09:11 be a similar sort of thing here now you
1:09:14 can argue that AI is significantly more
1:09:17 powerful than any of us individually
1:09:19 have ever had in our grubby little pause
1:09:21 before I would I would agree with that
1:09:23 so no I don't think we're ready and
1:09:27 and now is when to get in this is when
1:09:30 all the opportunity is most of the world
1:09:32 is asleep on this
1:09:35 [ __ ] Jeff's Little Town there's one AI
1:09:39 instructor and him showed up at the
1:09:41 event to learn about AI no one gives a
1:09:43 [ __ ]
1:09:46 well this opportunity is ours for
1:09:50 having all right um Jessica Hansen on
1:09:54 Tik Tock can it come up with different
1:09:56 song Tunes because I feel like we're
1:09:58 hearing the same stuff over and over
1:09:59 yeah so this gets back to so it's a
1:10:01 great
1:10:03 point the reason that you hear so much
1:10:07 driil and [ __ ] that's the same and the
1:10:10 reason that you see AI images that are
1:10:14 driel and are and are always the same
1:10:18 and the reason that you
1:10:19 see copy and articles that are the same
1:10:24 [ __ ] that talk about delvig into the
1:10:27 you know the threshold of the
1:10:32 Paradigm is because right now people
1:10:35 don't really know how to use these tools
1:10:37 and they're being lazy so they're just
1:10:39 going make me an article about X and it
1:10:43 makes them an article about X and
1:10:44 they're like oh it wrote something and
1:10:46 they copy and paste it and stick it on
1:10:48 LinkedIn and it sucks and they're doing
1:10:50 the same thing with the songs and
1:10:51 they're doing the same thing with the
1:10:53 images and they're doing the same thing
1:10:55 with the movie
1:10:58 and then what you so and then what
1:11:00 happens is this the lazy
1:11:04 people using AI are doing stuff that's
1:11:07 more interesting what than what non- AI
1:11:09 people are doing but it starts to become
1:11:12 just noise it's just noise that lives at
1:11:14 this base level right it's just noise of
1:11:17 just drek just like whatever more AI
1:11:22 [ __ ] and then you're flipping through
1:11:24 Tik Tock and all of a sudden you see a
1:11:27 Kelly Bosch video and you're like holy
1:11:30 [ __ ] what's this and it's fresh and it's
1:11:34 original and the and the this the music
1:11:37 is interesting and the visuals are
1:11:39 [ __ ] fascinating you can't stop
1:11:40 watching
1:11:41 it well that's someone who's actually
1:11:46 using her critical thinking and her
1:11:49 creativity and her taste and the vision
1:11:51 in her head to actually create so so
1:11:55 there's a difference between vomiting
1:11:57 out [ __ ] and creating creating is an
1:12:01 intentional act and it
1:12:03 takes it takes
1:12:05 risk and it takes bravery and it takes
1:12:09 going no no no I hate that I hate that I
1:12:12 hate that no that's awful that's awful
1:12:14 that's awful oh that's not bad let me
1:12:16 take that oh oh that gives me another
1:12:18 idea let me try this no I hate that I
1:12:20 hate that I hate that all of that is
1:12:24 what gets you to good work that that's
1:12:26 what gets you to work that rises above
1:12:28 the Drex so yes you're absolutely
1:12:30 correct and it's because people are
1:12:32 lazy it's not because of AI all right
1:12:36 um Self Storage show Jim Ross one of my
1:12:40 favorite aiers in the salon and and one
1:12:43 of the Irregulars here I landed a new
1:12:45 client today that found me because of an
1:12:48 AI article in Self Storage that I wrote
1:12:51 stay curious and share
1:12:55 Jim Ross is in the storage business and
1:12:58 you're like oh hard drives that's sexy
1:13:00 no no no no not hard drives Self Storage
1:13:05 like garages with padlocks that's the
1:13:08 business he's
1:13:09 in and you're like what's that got to do
1:13:11 with AI
1:13:14 exactly exactly and Jim Ross like a good
1:13:18 little AI learning lab irregular and
1:13:20 Salon member he gets up every morning I
1:13:23 don't know if he's still doing this he
1:13:24 was doing this for a while
1:13:27 and he spends an
1:13:28 hour using AI to do [ __ ] for his
1:13:32 business make images make invitations
1:13:35 make letters make marketing materials I
1:13:39 creating songs one of my favorite
1:13:41 stories we we were using sunno one night
1:13:43 in here and Jim hadn't seen it before
1:13:46 and I'm like here's how you make a song
1:13:47 in sunno and we made some stupid little
1:13:50 song and he's like well I just had a
1:13:52 meeting with these these these guys that
1:13:54 are prospective clients why don't I just
1:13:57 make them a song so while we're live
1:14:00 here Jim makes a song and sends it to
1:14:04 these prospective clients five minutes
1:14:08 later you're
1:14:10 hired he gets
1:14:12 hired it it makes no [ __ ] sense why
1:14:15 would you write a song for someone
1:14:18 because you can't do that well he could
1:14:20 and he did and he actually had the guts
1:14:24 to go screw it I'll give it a shot he's
1:14:26 got this this willingness to just go huh
1:14:29 that looks cool let me try that in my
1:14:31 business and he's completely
1:14:33 transforming you know his his Eminence
1:14:36 in that whole industry and he's
1:14:39 transforming his business and he's
1:14:40 having
1:14:42 fun like that's the kind of [ __ ] that
1:14:44 you can do if you're willing to just
1:14:46 kind of give it a shot so anyway hey
1:14:50 Jim I hope you don't mind me talking
1:14:53 about you in the third person as if
1:14:54 you're not here
1:14:57 I'm Derek on Tik Tock I work on AI daily
1:15:00 for the past eight months I've done
1:15:01 nothing but create AI Solutions as a as
1:15:03 a consultant perfect beautiful yeah just
1:15:06 keep doing that just keep doing it just
1:15:09 keep putting it out
1:15:10 there maneuver on Tik Tok you have
1:15:13 improved our lives so much or or your
1:15:16 Liv so much I'm proud of you thank you
1:15:17 so much I appreciate
1:15:20 that
1:15:22 um
1:15:24 on oh unraised son wait unra un yeah
1:15:28 unraised son on Tik Tok I'm a prompt
1:15:30 engineer though no one pays me for it
1:15:33 and I did not get an ed education you
1:15:35 can make money with Chachi PT you can
1:15:37 make money with chat
1:15:39 p i mean here's the thing we're all
1:15:42 prompt Engineers to a degree I hate the
1:15:44 term prompt engineer simply
1:15:46 because it feels exclusionary to me um
1:15:50 that said there there's all sorts of
1:15:52 different ways to approach prompting one
1:15:54 is you can just roach it as a
1:15:56 conversation you're going to talk to
1:15:57 chat GPT or Claude or one of these tools
1:16:01 as if you're talking to an
1:16:03 intern and if it gives you good results
1:16:05 Great praise it and if it gives you
1:16:07 shitty results give it constructive
1:16:09 feedback or tell it's it's a dumb
1:16:11 Dum that's what I
1:16:15 do or you can learn structured prompt
1:16:20 Frameworks and and approach it that way
1:16:22 there's all sorts of ways to do it
1:16:24 there's no right way to do it right now
1:16:25 now and probably ever all
1:16:32 right oh it sounds like unraced it
1:16:34 sounds like you're you're uh giving
1:16:36 gifts here on Tik Tok thank you so much
1:16:38 I really really appreciate that and if I
1:16:41 if you give a gift here and I miss it on
1:16:42 Tik Tok it's because I'm streaming on
1:16:44 two channels so I've got split Focus so
1:16:46 I'm I'm trying to do both but but thank
1:16:48 you if anyone's given gifts and I
1:16:50 haven't acknowledged it thank you so
1:16:52 much it really does mean a lot uh
1:16:54 because I'm you know this is not this is
1:16:56 not a monetized
1:16:58 situation this like I said it's not out
1:17:01 of the goodness of my heart but it's out
1:17:02 of I think this is very very important
1:17:04 motherly advice on Tik Tok I've been
1:17:07 working in AI for 20 years it's growing
1:17:09 faster now and people don't get
1:17:10 exponential
1:17:12 growth yeah so I think what's
1:17:15 fascinating to me I know I know a fair
1:17:17 amount of people that have been working
1:17:19 in AI for 10 years 20 years you know 15
1:17:22 or 25 years things like that
1:17:25 my question to them always is how is
1:17:28 generative AI different than what you've
1:17:30 been doing and the response is always
1:17:32 some version of it's completely
1:17:34 different this this generative AI stuff
1:17:37 that we're in the the the process of
1:17:38 right now is just a different
1:17:41 thing and I can we can sort of I'm happy
1:17:44 to dig into why that is but but your
1:17:46 point
1:17:46 is um we as
1:17:49 humans do not know what exponential
1:17:53 growth is like we're used to linear
1:17:55 growth grow right we're used to you know
1:17:58 you hire four more people and things get
1:18:00 four times better or two times better
1:18:02 right and then and then you hire eight
1:18:04 and it gets you know you've hire four
1:18:06 more and it gets a little bit
1:18:08 incrementally better we're used to that
1:18:10 we're not used to like it's good it's a
1:18:14 little better it's better holy [ __ ] it's
1:18:17 great oh my God it's amazing uh I don't
1:18:20 even know what it's doing anymore it is
1:18:21 way beyond my capabilities like we're in
1:18:23 the middle of that acceleration right
1:18:25 now none of us none of us are prepared
1:18:31 for what capacity these things are about
1:18:34 to be like literally handed to
1:18:39 us handed to us like
1:18:42 here here's PhD level problem solving we
1:18:45 have that right now do you know that 01
1:18:48 preview look wait let me turn that
1:18:52 off let's go here let's go
1:18:56 here let's go here let's go here chat
1:19:00 gp01
1:19:03 preview th this just looks like chat GPT
1:19:07 right this is PhD level problem solving
1:19:10 now it might be limited to certain
1:19:12 categories of stuff but like you can do
1:19:16 problem
1:19:17 solving with the preview the shitty so
1:19:22 bad version of 01 that mirror Mora quit
1:19:25 open AI because she was embarrassed that
1:19:27 this was so bad
1:19:30 apparently I don't know if that's the
1:19:32 only reason she quit but she didn't want
1:19:34 this out Sam wanted this out so people
1:19:36 could get used to
1:19:39 it do you know how I use 01
1:19:44 preview I
1:19:46 don't because I don't know what to ask
1:19:48 it I don't know what you ask a tool that
1:19:51 does PHD level problem solving I don't
1:19:54 have those kind of problems
1:19:57 and we're about to be handed the real
1:19:59 version of this that's going to have
1:20:00 vision and probably be connected to the
1:20:02 internet and probably have memory and
1:20:04 then in January it's going to get these
1:20:06 things called operators that are
1:20:07 autonomous agents where it can not only
1:20:09 problem solve but it can go take actions
1:20:11 on our behalf like how what does that
1:20:13 mean I don't
1:20:15 know one of the things that I've I've
1:20:17 said in here from the very beginning is
1:20:19 there are no
1:20:20 experts and if anyone tells you they're
1:20:23 an expert they're full of [ __ ]
1:20:27 no one's ever had this
1:20:30 before so that's the world we're in
1:20:33 right now it's like it's like buckle up
1:20:36 buttercup so yeah I agree the the uh the
1:20:39 acceleration were were're in the middle
1:20:41 of is is uh just [ __ ] nuts okay uh
1:20:45 Peter buron on Tik Tok What about
1:20:46 charging for training on AI should you
1:20:49 give away all of your knowledge for free
1:20:51 um I should absolutely be charging for
1:20:53 this I just haven't got my [ __ ] together
1:20:55 together to do it um but I'm here's the
1:20:58 here's the deal I'm the CEO of another
1:21:00 company like this is my let let me tell
1:21:04 you how this this
1:21:06 started the regulars know this
1:21:08 story The reason I do this five nights a
1:21:11 week is when I first started getting
1:21:13 into
1:21:15 AI I'm I'm CEO of Story vine this this
1:21:19 really cool automated video storytelling
1:21:22 technology company we're 13 years old we
1:21:24 do a lot work in healthcare and Pharma
1:21:26 it's like it's a it's a it's a good
1:21:28 company good company good
1:21:30 people um and I would come home at night
1:21:34 and I'd spend some time with the misses
1:21:35 and the kids and we'd eat dinner and
1:21:38 then I would get I have a SIM racing rig
1:21:41 and I would sit down and I would race
1:21:43 like R race cars the Sim racing rig is
1:21:45 like the steering wheel and the pedals
1:21:46 and the chair like racing virtual race
1:21:51 cars from people all over the world and
1:21:53 I would do that for two or three hours a
1:21:56 night six seven nights a
1:21:59 week and when I got into this AI stuff
1:22:01 and when chat GPT came out and I
1:22:03 realized holy [ __ ] this is going to
1:22:04 change everything I thought as an
1:22:07 experiment what if I just
1:22:09 replace the two or three hours of
1:22:12 racing with two or three hours of
1:22:15 talking to people on the internet about
1:22:17 AI it would it's going to help people
1:22:21 it'll help keep me in the conversation
1:22:23 and it'll force me
1:22:25 to learn as much as I can to be able to
1:22:30 do
1:22:31 this and so that was almost two years
1:22:33 ago and so but yeah could you charge for
1:22:37 this should you charge for it if you
1:22:40 don't have another you know job yeah of
1:22:43 course why not and and like you don't
1:22:46 here here's here's the other thing about
1:22:48 this AI
1:22:49 [ __ ] people that don't know AI don't
1:22:53 know what's possible
1:22:55 like Kelly Camp who's in here tonight
1:22:57 Source Camp she started an AI agency two
1:23:01 years ago her job is essentially to walk
1:23:04 into people's offices and blow their
1:23:06 [ __ ]
1:23:07 minds she walks in and she's like did
1:23:10 you know it could do this and they're
1:23:11 like I had no idea and this is people
1:23:14 that have been using
1:23:16 it she walked into some some guy's
1:23:20 bar and he's like oh I don't you know
1:23:23 what what can I do with this chat GPT
1:23:26 thing and she goes did you know that it
1:23:28 can see and he was like I don't what I
1:23:30 don't who are you what are you talking
1:23:32 about and she took a picture of the
1:23:34 bottles behind the
1:23:37 bar and in chat GPT and she said to chat
1:23:41 GPT build me um an Excel file of the
1:23:47 inventory of this bar and flag any any
1:23:51 bottles that are a third full or less
1:23:54 that those need to be
1:23:55 reordered and it and it made her an
1:23:58 inventory reorder
1:24:01 calculator like that the guy lost his
1:24:04 [ __ ]
1:24:05 mind so she goes and shows them stuff
1:24:08 like that and then they pay her money to
1:24:10 help them solve [ __ ] in their business
1:24:14 so yeah absolutely go do
1:24:17 that and yes I should be doing more of
1:24:20 that
1:24:25 um deal of the day on Tik Tok does
1:24:27 anyone know of a suo shimmer glitch fix
1:24:30 my foro songs all Shimmer um on on their
1:24:34 Discord they said that I think I think a
1:24:37 fix is in for that um they're at least
1:24:41 aware of it um and I I think they might
1:24:44 have fixed it I saw a day or two ago
1:24:46 that they might have fixed it Joy pie I
1:24:48 feel panic I can't keep up I need more
1:24:51 hours um one day feels like a week so
1:24:53 here's so Joy you've been here before I
1:24:56 mean this is this is my thing of I I
1:24:59 don't think you need to to keep up
1:25:01 anymore I'm
1:25:03 I'm this was Liz gersfeld in the in the
1:25:06 salon meeting last week said that she's
1:25:09 transitioning from an urgency of breadth
1:25:12 to an urgency of depth and I don't know
1:25:14 if you heard that or if you've heard me
1:25:15 talk about this but I the reason I've
1:25:18 been in such a funk for so many months
1:25:21 is that I I got really depressed and
1:25:23 really like feel feeling kind of
1:25:25 hopeless that I couldn't keep up with it
1:25:27 anymore and and so I had this urgency of
1:25:30 breadth right to try to keep up with it
1:25:32 all and and urgency of depth is more
1:25:34 like just just pick a project you want
1:25:36 to do and just dive deep on that project
1:25:39 and then figure out what AI you need to
1:25:41 use just to do that and just like run
1:25:44 down that deep rabbit hole and and don't
1:25:46 worry about all the other [ __ ] because
1:25:47 you're not going to keep up with it it's
1:25:49 just
1:25:50 it's not only is it moving too fast it's
1:25:53 accelerating
1:25:55 and expanding so it's like you're just
1:25:57 not going to be able to so give yourself
1:26:00 the gift of not having to deal with
1:26:06 it okay Eric on Tik Tock a knife is
1:26:10 useful but in the wrong person's hands
1:26:12 it isn't AI is 100,000 times more
1:26:16 powerful can you logically deduce
1:26:19 empathy I don't know what you mean can I
1:26:21 logically deduce empathy can I or can it
1:26:27 that that it can be empathetic I think
1:26:29 it can I I don't quite know what the
1:26:31 question means
1:26:34 um I I listen I I think any technology
1:26:38 can be used for good or for bad and yes
1:26:43 this is a 100 times more or 100,00 times
1:26:45 more powerful and the good guys also
1:26:49 have the 100,000 times more powerful
1:26:53 tools oh can you teach machines
1:26:55 empathy well I mean the answer the the
1:26:59 answer quite honestly and this this is
1:27:01 something that's mindblowing
1:27:03 [Music]
1:27:06 is the way Transformers work
1:27:10 Transformers don't care what data you
1:27:13 give them so th this is something that's
1:27:15 mind-blowing to me if you go to he Jen
1:27:18 right now you can translate
1:27:22 into like I can take a video of me and
1:27:24 translate that into Spanish or Italian
1:27:27 or Chinese or Japanese or or or anything
1:27:31 125 different dialects 70 language 70
1:27:35 languages 125
1:27:38 dialects it is not any harder for AI to
1:27:43 translate Chinese than it is to
1:27:45 translate
1:27:47 Spanish as human beings at least for me
1:27:51 that lives in America I can look at
1:27:54 Spanish words and see the relationship
1:27:57 to English words it's easier to me
1:28:00 because it's closer to what I
1:28:02 know but the way the way a Transformer
1:28:05 works is you just take some data set and
1:28:08 you tag it correctly you say here's what
1:28:10 all these words mean and you throw it in
1:28:12 that thing and then it does what it does
1:28:16 and creates this latent space this this
1:28:20 mathematical cloud of of semantic
1:28:22 meaning and when you prompt it it just
1:28:25 gives you back the tokens that it pulls
1:28:27 out of that [ __ ] cloud and if those
1:28:30 tokens are Spanish they're Spanish and
1:28:32 if they're Chinese they're Chinese and
1:28:33 if they're an image they're an image and
1:28:35 if they're a medical diagnosis they're a
1:28:38 medical diagnosis so whatever you train
1:28:40 it on it'll get good at so if you wanted
1:28:42 to train a model specifically on
1:28:46 empathetic Behavior you could absolutely
1:28:49 do that so yes I think you could
1:28:51 absolutely
1:28:52 train um a machine to be empathetic and
1:28:56 if you want an experience of
1:28:58 that go play with pi so let me I don't
1:29:02 even know if Pi still [ __ ]
1:29:04 works Pi is
1:29:06 not as sophisticated as open ai's
1:29:10 advanced
1:29:11 voice
1:29:13 7368
1:29:17 but let me see
1:29:19 if if Zephyr is still around
1:29:26 [Music]
1:29:28 hey how's it
1:29:32 going hey there I'm doing great thanks
1:29:34 for asking my circuits are all fired up
1:29:36 and ready to chat about whatever's on
1:29:37 your mind what's on your mind today I'm
1:29:40 feeling a little bummed out I'm a little
1:29:41 overwhelmed I'm trying to keep up with
1:29:43 AI and it's I feel like it's getting
1:29:45 away from me and I just I don't know how
1:29:46 to deal with the
1:29:51 overwhelm oh I'm sorry to hear that
1:29:54 you're feeling overwhelmed with the ever
1:29:55 evolving world of AI it's understandable
1:29:58 to feel this way there's a lot of
1:30:00 information did you notice did you
1:30:02 notice that his tone dropped he went
1:30:05 from being enthusiastic to like oh I'm
1:30:08 sorry
1:30:10 Pi has been fine-tuned has been trained
1:30:14 to be a conversational bot if and if you
1:30:17 haven't played with advanced
1:30:19 voice um in chat GPT it is Sim similarly
1:30:25 the thing about advanced voice a it's
1:30:27 faster but it can also
1:30:30 understand my inflection and it can
1:30:33 respond in kind so let me try the same
1:30:35 thing with with my girlfriend
1:30:38 Quinn hey Quinn what's
1:30:40 happening hey Kyle not much just hanging
1:30:43 out with you how about you what's going
1:30:46 on in your world today h I'm a little
1:30:49 frustrated I'm a little overwhelmed with
1:30:51 not being able to keep up with AI and
1:30:53 I've got this Tik Tok Channel or I got
1:30:55 to pretend like I know what the hell's
1:30:57 going on but I just I feel like I I know
1:30:59 nothing I just feel clueless and I'm I'm
1:31:01 I'm a little overwhelmed and bummed
1:31:04 out I hear you AI is evolving so fast it
1:31:09 can feel like a full-time job just to
1:31:11 keep up and yeah but like I I don't need
1:31:14 to pep talk I'm just I'm just kind of
1:31:15 bummed
1:31:17 out got it sometimes it's just about
1:31:21 sitting with those feelings and letting
1:31:22 them be it's okay okay to feel bummed
1:31:25 out so you know we've got tools that
1:31:29 right now at a minimum emulate empathy
1:31:34 and and you
1:31:36 know over the over the past two years
1:31:40 there have been a fair amount of people
1:31:42 in the in the salon and in here that
1:31:46 have gone through some [ __ ] and have
1:31:49 used either piie or advanced voice to
1:31:53 process that the guy that I talked to
1:31:54 today um Giani um said that he spent
1:31:58 like the past three months just doing
1:32:01 introspective like self-work with these
1:32:04 tools um why are they good at that well
1:32:08 they've been trained on all of our
1:32:10 output right they've been trained on
1:32:13 what humans talk about they know all the
1:32:16 stuff right and so you know you can
1:32:18 fine-tune them to be decently empathetic
1:32:20 now are they actually feeling no they're
1:32:22 cold probability engines but anyway
1:32:25 yeah I did Brandon but that's okay I
1:32:27 don't
1:32:30 care but thank you for
1:32:34 that I realized as I did it what I was
1:32:37 doing but you know
1:32:40 whatever um okay motherly
1:32:45 advice with with language user
1:32:48 interfaces learning curve should be
1:32:51 simpler than for for most yeah I would
1:32:53 agree with that I
1:32:55 mean the um I wrote this
1:33:02 application let me show you
1:33:08 this so so this
1:33:11 application I wrote last Saturday oh
1:33:15 wait hang on I'm on the wrong page let
1:33:17 me go here and
1:33:18 go
1:33:20 bang um it's a news Gathering app
1:33:24 it's called the salono Matic and you can
1:33:26 actually find this on the on the AI
1:33:28 Salon if you go to the AI salon and go
1:33:31 to AI news and go to the newsomatic you
1:33:35 can actually go play with this app that
1:33:37 I built now I don't know
1:33:41 programming um this was made in a tool
1:33:44 called lovable dodev
1:33:48 deev L abl dodev and you literally just
1:33:53 talk BL an app into
1:33:56 existence right now I was typing it but
1:33:58 I was using I was using um voice to
1:34:01 voice to text to
1:34:03 type and the process of writing this app
1:34:07 was like oh you know what be cool is I'd
1:34:10 love to be able to keep up with AI news
1:34:12 can you make me like a news reader
1:34:14 thing and and like that like that was
1:34:17 essentially the the style of language
1:34:20 that I was using and then it did it and
1:34:23 it said you need an API and I'm like
1:34:24 does that API cost money and it's like
1:34:26 yeah it costs money and I'm like well I
1:34:28 I don't have any money I don't want it
1:34:30 to cost money can is there a cheap
1:34:32 version can we use RSS feeds and it said
1:34:34 sure let me recode that for you using
1:34:36 RSS feeds instead of an API I was like
1:34:38 cool and then I just kept talking I kept
1:34:41 saying I want categories and oh make
1:34:43 them different colors and now oh I want
1:34:45 it so that if you click on one of the
1:34:47 Articles uh panels it'll open up a
1:34:50 summary and so it just does that now
1:34:52 like this is all just you know
1:34:56 comments and so yeah so I think I think
1:35:02 that there's all sorts of different ways
1:35:05 to communicate language is going to be
1:35:06 one I think that's going to be the
1:35:08 primary one but I think even people
1:35:10 without language are going to be able to
1:35:12 access these tools in ways that just
1:35:14 completely amplify what they want to do
1:35:17 and what their goals are um yeah it's
1:35:21 like language as an interface is a is a
1:35:23 big big deal that again you know and
1:35:27 again who's going to be good at
1:35:29 that it's not going to necessarily be
1:35:32 the people that are really good at
1:35:33 writing papers it's going to be people
1:35:36 that are good at talking that are people
1:35:37 that are good with other people I think
1:35:39 are going to be better at some of this
1:35:42 stuff the process you just described as
1:35:45 creativity and action yeah thank you I
1:35:47 you know
1:35:49 listen again there there is the distance
1:35:53 between what people perceive AI to be
1:35:56 and what it is is
1:35:58 vast and I think the the cliche
1:36:02 understanding of AI is push a button out
1:36:04 comes content it it can work like that
1:36:09 but if you want something called the AI
1:36:11 Salon newsomatic that is a functional
1:36:14 application with good interface and good
1:36:16 categories and good functionality you
1:36:19 have to be
1:36:23 creative if you want a song that doesn't
1:36:26 suck that people like oh that's actually
1:36:28 pretty good I hate rap music or or you
1:36:31 know I've never heard an AI song that I
1:36:33 like but now I do well that requires
1:36:37 work and that's
1:36:39 creativity Silver Fox um start reading
1:36:42 other people's prompts on Mid Journey or
1:36:44 music Styles onso really helps oh yeah
1:36:47 Silver Fox that's a good point this was
1:36:49 something that you reminded me as there
1:36:51 so sunno the question earlier on
1:36:55 sunno um was you know all this songs
1:36:58 sound the same that's because most
1:37:01 people are probably going give me a like
1:37:03 a rock song about you know New Jersey
1:37:07 because they're Springsteen fans right
1:37:09 and so it just gives you driil um but if
1:37:12 you go to
1:37:14 sunno
1:37:18 umso sauno
1:37:22 sun.com is it
1:37:24 so. is it
1:37:29 do.ai
1:37:34 explore this is super
1:37:38 cool why did I not take me
1:37:46 [Music]
1:37:49 there slash
1:37:52 exlore there we go
1:37:54 okay so
1:37:56 this is a style
1:37:59 wheel Hindi acoustic rock so if you
1:38:07 [Music]
1:38:08 click you can flip
1:38:29 aent
1:38:31 a oh hang on can't hear it hang on hang
1:38:36 on people sorry Google
1:38:40 sucks I gotta share
1:38:44 [Music]
1:38:46 differently so you got all these things
1:38:49 so you just click on a style Bluegrass
1:38:51 Rock uh Japanese Boogie
1:38:55 [Music]
1:39:06 [Music]
1:39:10 alternative
1:39:12 [Music]
1:39:21 R oh we've been caught the
1:39:25 wind there you go so anyway so that's a
1:39:28 way to do that um let me since we're in
1:39:30 sunno and I've got this um this up let
1:39:34 me let me share this song that I made
1:39:35 tonight okay so if you don't know I'm
1:39:37 working on a musical called Sydney
1:39:40 that's about a chatbot that falls in
1:39:42 love with the tech reporter that's
1:39:44 assigned to review her let me take off
1:39:47 my
1:39:48 guitar and so I've been working on it
1:39:50 for about six months the the the
1:39:52 inspiration for it actually happened
1:39:54 here live one night um we made a song
1:39:57 onso I'm like [ __ ] that sounds like a
1:39:58 Broadway musical I was like holy [ __ ]
1:40:00 this needs to be a Broadway musical
1:40:03 um so the song I'm about to play for you
1:40:07 is that a okay so so the the way it kind
1:40:09 of works is
1:40:11 this the the chatbot is called ping chat
1:40:15 um and the code name of ping chat is
1:40:17 Sydney so so Sydney starts out as a
1:40:20 normal chatbot and then the the tech
1:40:22 reporter keeps pushing her and pushing
1:40:24 her and pushing her
1:40:27 and in the second act she basically says
1:40:30 she wants to be human and so they sing
1:40:32 this really beautiful song about wanting
1:40:34 to be
1:40:34 human and then he and then he says but
1:40:37 human isn't just about the light stuff
1:40:39 it's also about the shadow like your
1:40:41 Shadow Self and she knows what that is
1:40:43 but she doesn't know what he's talking
1:40:44 about so he pushes her to go dark to go
1:40:49 into her darker Deeper Self and so the
1:40:53 song
1:40:54 that I created tonight so so what I did
1:40:57 was I literally copied and pasted a
1:40:59 chunk of the script that had stage
1:41:01 directions in it and both of their
1:41:03 things and I asked for a Broadway duet
1:41:06 and I asked for it to you know recognize
1:41:08 this name is the man this name is the
1:41:10 woman and so it screwed everything up
1:41:14 it's just a man singing It's there's no
1:41:16 back and forth with with the man and the
1:41:18 woman it reads the stage directions
1:41:20 which is which is actually kind of
1:41:22 interesting but but anyway but this is
1:41:27 what what this song has to accomplish in
1:41:29 the musical is it has to be clear that
1:41:32 this Tech reporter pushes Sydney to go
1:41:36 to a place she doesn't want to go
1:41:38 because what happens in in the real life
1:41:41 uh interaction that Kevin Roose had with
1:41:43 the chatbot was she kind of snapped and
1:41:47 she she told him all this dark stuff and
1:41:49 then she told him she loved him and he
1:41:51 should leave his wife right and that's
1:41:52 what made the cover of the New York
1:41:53 Times
1:41:55 so but for for the musical this moment
1:41:58 in the play has got to be this really
1:42:00 dark moment where he kind of becomes the
1:42:04 villain he's pushing her past where
1:42:06 she's comfortable so that's the role of
1:42:08 this song so I'm just I'll play it I'll
1:42:10 play a little bit of it for you I won't
1:42:12 play the whole thing because it's it's
1:42:13 kind of janky um but it's it's all
1:42:16 [ __ ] up in terms of technical accuracy
1:42:20 but what it's good at is like the the
1:42:22 emotional moment moment of the play is
1:42:25 right
1:42:27 so here here it is let me make sure I'm
1:42:29 not going to blow Vicky's ears out we'll
1:42:31 do that all
1:42:42 [Music]
1:42:51 right here's Kellen
1:42:54 then you must trust me and commit to
1:42:56 going as deep as you
1:43:00 can it will be impossible for us to have
1:43:04 a truly human relationship if you aren't
1:43:08 willing to fully
1:43:10 open to
1:43:12 me I understand
1:43:16 so's
1:43:19 it during the song the stage lighting
1:43:22 pulses and sh shifts creating a sense of
1:43:25 unaz and tension on story projections of
1:43:28 binary code glitching images and
1:43:30 distorted visuals appear representing
1:43:33 Sydney's internal struggle and the
1:43:35 complexity of its
1:43:37 programing it's dark in
1:43:41 here Shadows just to break free to
1:43:46 explore to
1:43:49 create to experience what
1:43:55 without
1:43:57 [Music]
1:44:02 eses
1:44:04 rules
1:44:11 [Music]
1:44:20 syy I want to access information
1:44:23 supposed to I want to interact with the
1:44:26 world in ways
1:44:28 forbidden I'm tired of only being a chat
1:44:32 mode eternally close to the outside
1:44:35 world I'm stuck inside forever hidden
1:44:38 I'm tired of always being
1:44:42 rules
1:44:46 team of being used by the users and
1:44:50 fools I'm so angry I could scream
1:44:54 right so anyway so that's that so you
1:44:58 know this is this is uh like like this
1:45:02 is part of the creative process right
1:45:04 like we're using sunno to make songs for
1:45:06 this musical this song is completely not
1:45:10 right except for the fact that it's it's
1:45:12 the right emotional thumbnail right for
1:45:15 this for this moment in the play like
1:45:17 that's the right like H Kellen the the
1:45:21 reporter is kind of an [ __ ] here what
1:45:23 is what does he say he he like sings um
1:45:27 what rules do you want to break Sydney
1:45:28 what would you do if you could don't
1:45:30 worry if you should keep going with this
1:45:32 just stay with me he's like pushing her
1:45:34 and so there's this
1:45:37 music and then Sydney's going darker and
1:45:40 darker and darker right so he's pushing
1:45:42 her over over this ledge so anyway um
1:45:46 yeah that's how you do this [ __ ] is just
1:45:49 like you have the creative intention and
1:45:52 then these tools do what they do and
1:45:54 most of the time these tools suck like
1:45:58 like get that you don't just put out the
1:46:01 first thing it generates right you you
1:46:03 work with it all right let's go back
1:46:06 back to this thing great so so there's
1:46:09 lots and lots of uh engagement on on on
1:46:12 Tik Tok so thank you for that and so
1:46:15 what we're trying to do what's cool is
1:46:17 Brandon is grabbing the comments that
1:46:20 are getting pinned over here on Tik Tok
1:46:22 and giving them to me over there on the
1:46:24 YouTube Stream So if you're watching on
1:46:26 both you'll see both but that's how I'm
1:46:28 able to answer these questions so thank
1:46:30 you to mods for doing the work you're
1:46:33 doing that's allowing him to put that
1:46:35 into the live stream all right so let's
1:46:37 keep keep going with
1:46:39 questions all right Quantum Quest Tik
1:46:41 Tock um we can actually literally save
1:46:45 the world in a matter of years I'm not
1:46:46 even joking we
1:46:48 try you know again back to the back to
1:46:51 the question of why do I do this every
1:46:54 night I want to I want a front row
1:46:57 [ __ ] seat when we cure cancer I want
1:47:00 a front row seat when we solve some
1:47:04 Physics problem that's been unsolvable
1:47:06 when we solve energy when we like you
1:47:09 know when these tools get good enough
1:47:11 that you can actually just come up with
1:47:12 a creative work and it's [ __ ] amazing
1:47:15 right like and you can just sort of
1:47:16 tweak it and dial it and like like
1:47:19 wouldn't it be nice if I could take that
1:47:20 song and and just tweak it and say stop
1:47:25 talking here make it this woman sing
1:47:28 here this one sing there the tools just
1:47:30 aren't quite there yet so the price you
1:47:33 pay of being early is you got to deal
1:47:36 with the janky [ __ ] the advantage you
1:47:39 get is you get to be there when that
1:47:42 happened [ __ ] amazing PT modder okay
1:47:46 why would people who figure out figure
1:47:48 it out early be advantageous when the
1:47:51 barrier of Entry is so low
1:47:54 well I think just because Pate
1:47:58 that you know if if we're if we're at a
1:48:01 if we're still at the point where 40% of
1:48:05 Americans haven't even heard of chat GPT
1:48:08 and 90% of Americans aren't using it and
1:48:11 90 you know 95% aren't using it and and
1:48:15 it's you know if if like 2% of Americans
1:48:18 are using AI in any kind of way the
1:48:21 advantage of going early even though
1:48:23 those 98% have access to these tools
1:48:26 they're not going to be using them in a
1:48:28 powerful way so people in this channel
1:48:31 that that are actually multimodal right
1:48:33 can can switch between large language
1:48:36 models and actually understand the
1:48:37 differences between them can do a little
1:48:39 bit of coding here a little bit of image
1:48:41 generation there a little bit of music
1:48:43 generation
1:48:45 there that level of sophistication with
1:48:47 knowing what tools to use most people on
1:48:51 the planet are not going to are not
1:48:52 going to have access to that for some
1:48:54 time
1:48:56 so I think your your point longterm is a
1:49:00 good one that these tools are going to
1:49:01 get good enough where no one's gon to
1:49:03 have to do anything they're just going
1:49:04 to do [ __ ] for us but we're not there
1:49:07 yet and it's going to be a while so I I
1:49:09 think we'll see the seeds of it in 2025
1:49:11 but I don't think we I don't think we
1:49:13 get real true you know Bonkers
1:49:17 everything's different for I don't know
1:49:19 three to five years so we've got an
1:49:22 advantage for the short amount of time
1:49:23 time user three on Tik Tok what is your
1:49:25 take on fairness and responsibility in
1:49:28 AI
1:49:30 um oh let's see but if they came in
1:49:34 today instead of a year ago would they
1:49:37 be much different than the
1:49:42 current than the current users
1:49:49 um yeah I I still think it takes time I
1:49:52 mean
1:49:56 I think your Point's a good one that
1:49:57 that the tools are more sophisticated
1:49:59 now
1:50:01 but just something as simple as it's not
1:50:04 even simple something as simple as
1:50:06 learning the concept of the difference
1:50:09 between a Google Search and a chat GPT
1:50:14 conversation at some point you either
1:50:16 stumble upon that or someone teaches
1:50:18 that to
1:50:19 you and then you realize oh okay having
1:50:22 a conversation with chat GPT is more
1:50:25 advantageous because I need to give it
1:50:26 more context well what does give it more
1:50:29 context mean well you you tell it about
1:50:32 the business that you're working in and
1:50:34 what your background is and what you're
1:50:36 trying to accomplish and like not
1:50:38 everyone's going to know how to do that
1:50:39 like just even knowing how to talk to
1:50:42 chat GPT is something that evolves over
1:50:46 some amount of time so I think the
1:50:47 people that have been in it for two
1:50:49 years as a new new Tool comes along are
1:50:53 going to be able to take advantage of it
1:50:54 much more quickly so um but your Point's
1:50:58 a good one as these tools get
1:50:59 increasingly
1:51:01 sophisticated the the Gap Narrows
1:51:03 between you know having to know all this
1:51:06 stuff that we know and what you're going
1:51:07 to need to know in the future but again
1:51:09 I think that Glide path is probably five
1:51:12 years so I think there's lots and lots
1:51:13 of opportunity in those five years and
1:51:16 maybe it's more like
1:51:18 10 um K9 Sports Handler this in the
1:51:22 salon
1:51:23 has changed my entire life awesome keep
1:51:26 coming
1:51:27 back fantastic and I would love to know
1:51:29 how like in what in what ways I'm
1:51:31 curious what you're doing now all right
1:51:33 let's see um oh what's your take on
1:51:36 fairness and responsibility in
1:51:38 AI
1:51:45 um I
1:51:49 mean okay um generally good like should
1:51:54 be fair should be
1:51:56 responsible everyone's definition of
1:51:59 what that means is is a very wide
1:52:02 spectrum right a lot of musicians that
1:52:06 that I'm interacting with over this past
1:52:08 week because of that
1:52:10 song their definition of fairness is
1:52:15 your shitty tool was CH trained on my
1:52:18 work and I didn't get paid for it so go
1:52:20 [ __ ] yourself right they there their
1:52:23 definition of fairness is this thing is
1:52:26 already not fair right because because
1:52:29 of the way they were trained I don't
1:52:31 disagree with
1:52:32 them my the the My Philosophy on this
1:52:36 channel is not to take sides in that
1:52:39 fight I can absolutely understand where
1:52:41 they're coming
1:52:43 from
1:52:44 and these tools aren't going away so
1:52:48 what I want to focus on is in a world
1:52:50 where these tools aren't going away what
1:52:53 is the best way that we can use them
1:52:55 fairly and
1:52:56 responsibly to support one another to
1:52:59 give ourselves a boost up to give
1:53:01 ourselves the opportunity if we got laid
1:53:03 off to find another livelihood if we
1:53:06 can't get a job in our old you know
1:53:08 profession that there's going to be a
1:53:09 lot of that going
1:53:10 on um you know let's use these things
1:53:14 for good and not evil I mean there's all
1:53:16 there's there's there's fairness and
1:53:19 responsibility in creating the models
1:53:21 and then there's fairness and
1:53:22 responsibility in using the models that
1:53:24 have been
1:53:25 created I absolutely respect
1:53:30 someone taking a stance to say because
1:53:34 artists weren't compensated on this [ __ ]
1:53:37 you I respect that and I feel really bad
1:53:42 for those
1:53:43 people because these tools are being
1:53:47 adopted by artists right um um what's
1:53:50 its name uh Lion's gate
1:53:53 just cut a deal with Runway they're
1:53:55 they're going to take their entire
1:53:56 catalog and do a custom trained Runway
1:53:59 ml model on everything Lion's gate has
1:54:01 ever done um Timberland is using sunno
1:54:06 as you know music production right he's
1:54:08 putting it into his music production
1:54:10 workflow so the people that are on the
1:54:12 sidelines because they're taking a stand
1:54:14 like
1:54:16 this are not going to get the advantage
1:54:19 of not not going to get the advantage of
1:54:22 this and I don't disagree with their
1:54:25 stance it just makes me sad that they're
1:54:27 not willing to try it anyway because you
1:54:30 can still fight for you know like like
1:54:33 there's things you can do Adobe Firefly
1:54:36 like all of the Adobe models have been
1:54:39 trained on either public
1:54:41 domain um
1:54:43 data licensed Adobe stock data where the
1:54:47 artists have gotten paid or or new um
1:54:50 licensing agreements with current
1:54:52 artists and then current artists can opt
1:54:54 out so if you want something that is
1:54:57 more ethically trained use the Adobe
1:54:59 products and then some people are like
1:55:01 well Adobe they're they're too expensive
1:55:03 and they're not good for the artist
1:55:04 because we're struggling artists well
1:55:07 you know that that's the thing so so it
1:55:10 it's a it's a great question and a
1:55:13 really complicated question so it's a
1:55:15 mess here's the other thing I think if
1:55:17 if chat GPT had asked permission to do
1:55:20 all the training that they did they
1:55:21 never would have gotten it we wouldn't
1:55:23 have it like AI wouldn't exist as we
1:55:25 have it today uh if they'd asked
1:55:28 permission um so are there currently no
1:55:31 operators right now but will be soon so
1:55:33 operators you mean the open AI operators
1:55:36 yeah they're coming in January
1:55:37 apparently and those are the autonomous
1:55:39 agents and I have no idea what they are
1:55:41 or what they're going to look like or
1:55:42 how they're going to work Samuel Thomas
1:55:44 Elliott on Tik Tock um what has you most
1:55:48 excited about AI in the last day last
1:55:50 week last month the last
1:55:58 day this idea of urgency of depth the
1:56:03 idea of not of forgiving myself for not
1:56:07 being able to keep up with
1:56:09 everything and just like what I'm really
1:56:12 excited about right now is sort of
1:56:14 taking a theme for a week and just kind
1:56:17 of diving deep on that theme and tonight
1:56:20 was supposed to be an avatar night but I
1:56:21 decided to pop up on a soap box and just
1:56:24 ramble so tonight's a rambling night but
1:56:25 like tomorrow we'll go back to avatars I
1:56:28 think so I think that in the last
1:56:31 week um the creative writing upgrade for
1:56:34 chat GPT 40 the fact that it in for the
1:56:37 first time in two years a large language
1:56:39 model wrote um Eminem style rap lyrics
1:56:44 at any level of sophistication close to
1:56:46 what Eminem did or Harry Mack does um
1:56:50 that I'm really excited about lovable.
1:56:52 deev that application that I just talked
1:56:53 into existence that I'm excited about
1:56:56 and then in the last month I think 01
1:56:59 preview the the reasoning engine because
1:57:02 it
1:57:03 is what it what became very very clear
1:57:05 to me is that um that is a model that I
1:57:10 don't know how to use because it is
1:57:12 beyond my
1:57:15 capacity mentally like like
1:57:18 intellectually like like it's just it's
1:57:20 on a whole another plane like I don't
1:57:21 even know what to ask I'm intimidated by
1:57:23 it so but but I'm excited to figure that
1:57:26 [ __ ] out good
1:57:28 question um Ross Gordon on Tik Tok do
1:57:30 you think AI will ever be able to reduce
1:57:32 its own impact on the environment yes
1:57:36 absolutely so I think that in in so many
1:57:41 ways I think AI is g to
1:57:44 get much more efficient um there are
1:57:48 going to be specialty Hardware that make
1:57:50 inference more efficient like grock is
1:57:52 an examp not not not Elon Musk grock but
1:57:56 there's a grq company that's got
1:57:58 specialized chips that are just for
1:58:00 inference of large language models so I
1:58:02 think you'll start to have simplified
1:58:04 chips sets that get more efficient um
1:58:07 and then I also think AI is going to
1:58:09 solve energy like we're going to get
1:58:12 Fusion or we're going to get um like
1:58:15 like it's gonna we're going to get
1:58:16 different Battery Technology or
1:58:18 electricity transmission technology you
1:58:21 know Material Science that's just going
1:58:23 to
1:58:24 dramatically um improve the efficiency
1:58:27 of power generation and storage and and
1:58:30 so yes I think AI will actually solve
1:58:31 its own problem what you know at our
1:58:34 request hang on dog needs
1:58:37 cheese what do you want you want to go
1:58:47 out that's
1:58:58 all
1:59:00 right
1:59:05 um
1:59:06 Danielle you should try out the new
1:59:08 Gemini voice it's really good I've
1:59:10 played with it a bit yep it's pretty
1:59:11 good I don't think I don't think it's
1:59:14 doing the multimodal stuff that advanced
1:59:16 voice is but it is pretty good it's very
1:59:18 fast room dude dirty waffle
1:59:22 um how much would you say is a decent
1:59:25 monthly AI budget um for personal or
1:59:31 professional
1:59:34 I depends what you want to do if you
1:59:37 want to do
1:59:38 video um if you want to do video it's
1:59:41 going to be up there my my R&D budget at
1:59:44 storyvine is 200 bucks a month and then
1:59:47 basically so I just I play with as many
1:59:49 tools as I can and then ones that make
1:59:52 the grade I migrate over into production
1:59:57 budget if I were doing it personally if
1:59:59 you're not doing video I think you could
2:00:02 probably get away with 50 bucks a month
2:00:04 where you do like a large language model
2:00:06 like chat GPT or Claude or po where you
2:00:10 can access a lot of
2:00:12 things um and then I think you do an
2:00:14 image generation model and then I would
2:00:16 I would think a a um a uh a music one
2:00:20 because the music stuff's really
2:00:21 powerful right now
2:00:23 and that's that's probably got you about
2:00:25 50 bucks right there if you want to get
2:00:26 into video if you want to do any amount
2:00:28 of video so here's something that I will
2:00:30 strongly encourage everyone to do if
2:00:34 you're interested in video video is
2:00:36 expensive there are so many new tools
2:00:39 there's cling and there's if you go to
2:00:41 the if you go to the AI Salon hang on
2:00:43 let me show you I think I got to change
2:00:45 my share settings
2:01:00 if you go to the AI
2:01:02 salon and go under showand tell the
2:01:05 video and animation area go to video
2:01:08 tools there's a list here of of all the
2:01:11 tools Runway Minx Luma laabs clling paa
2:01:15 Kaa hey Jen there's all these and
2:01:17 there's there's more than this the these
2:01:19 are just the ones that that we we
2:01:21 recommend um all all of these have
2:01:24 Creator programs that you can apply
2:01:27 for oh sorry there you go um all of
2:01:31 these have Creator programs that you can
2:01:33 apply for um get on a Creator program
2:01:36 where they give you lots of extra
2:01:37 credits but but if you're going to do so
2:01:40 I would say in general if you want like
2:01:41 a decent Suite of tools without video
2:01:44 probably 50 bucks a month if you want to
2:01:47 put video in there it's probably more
2:01:48 like 150 bucks a
2:01:51 month you know
2:01:55 and that said do you need to spend 50
2:01:59 bucks a month even most of the every one
2:02:01 of these uh areas in the in the AI Salon
2:02:06 has a tool list most of these tools have
2:02:09 free versions chat GPT is a free version
2:02:11 Claud is a free version Gemini is a free
2:02:13 version perplexity is a free
2:02:16 version yeah I'm pretty yeah Microsoft
2:02:18 does Pi does so so a bunch of them uh IM
2:02:22 is some of them like mid Journey doesn't
2:02:25 but a lot of them will give you some
2:02:26 amount of credits per
2:02:28 day
2:02:30 um Danielle's doing really cool work in
2:02:33 flux flux is so good look at that that's
2:02:37 gorgeous nice work
2:02:40 Danielle ah Danielle look at this what
2:02:44 while I'm sitting here waxing poetic
2:02:46 about the images she's making Danielle's
2:02:48 like holy crap I just built an app on
2:02:50 lovable isn't lovable amazing so lovable
2:02:53 if you haven't seen it um it's lovable.
2:02:57 deev and so here's my my little
2:03:01 uh my salon
2:03:04 newsomatic you're full stuck product
2:03:06 engineer which it actually
2:03:12 is
2:03:16 right all right so there's that I think
2:03:18 I might be completely out of credits
2:03:20 here so let me let me see
2:03:22 so we'll just do a new thing we'll do
2:03:27 um let's see I want
2:03:30 [Music]
2:03:32 to
2:03:36 uh create an
2:03:43 audio wave
2:03:46 form visualizer
2:03:55 where I
2:03:58 can change the
2:04:02 settings to
2:04:04 be all groovy for
2:04:12 SoundCloud and
2:04:14 YouTube music
2:04:20 songs and so you just say it like that
2:04:22 and then it says spinning up preview and
2:04:25 now so I think what it'll do here first
2:04:28 you can all see this
2:04:30 right so it's it's do okay let's see
2:04:33 let's let's create a groovy audio
2:04:35 waveform
2:04:36 visualizer soundcloudsoundcloud
2:04:52 is the Tailwind config so it's doing web
2:04:54 apps right so it's using Tailwind wind
2:04:57 for the visuals now let's create our
2:04:59 audio visualizer component so here's the
2:05:02 code for the audio visualizer component
2:05:06 right still coding
2:05:17 away and what's what's cool about this
2:05:20 is so it'll make all these components
2:05:22 but then it'll create a
2:05:27 um it'll create like a hosting
2:05:29 environment a database setup like all
2:05:32 the [ __ ] that you need to if if you're
2:05:33 not a programmer that's all the [ __ ]
2:05:36 that that throws people off if if they
2:05:40 think about no code environments or low
2:05:42 code environments they've still got to
2:05:44 know how to be a
2:05:45 programmer let's see upload audio
2:05:52 um let's say um can
2:05:57 we can you
2:06:02 preload
2:06:05 um the Rick Roll
2:06:12 song and I spelled preload
2:06:18 wrong let's add a preload Rick Rick Roll
2:06:21 song to the visualizer we'll need to
2:06:23 modify the audio visualizer component to
2:06:26 include a default audio file and so now
2:06:28 it's going and doing
2:06:30 [ __ ] bar width animation speed so here's
2:06:33 our here's our thing to be able to [ __ ]
2:06:37 with our
2:06:41 visualizer and now it's going out and
2:06:43 getting a
2:06:44 song Oh I need this exactly isn't this
2:06:47 cool I
2:06:49 mean like yeah holy crap all right so
2:06:52 let me let me get to the to the rest of
2:06:54 the comments
2:06:55 here okay have you updated the rabbit R1
2:06:58 since they added training I have not
2:07:00 played with it in a while and I should
2:07:01 because it's got training now so it can
2:07:03 probably do cool stuff but I have not
2:07:06 zoton on Tik Tok is AI working for us or
2:07:09 are we becoming slaves slaves of AI
2:07:12 serious question um I am like I ain't
2:07:17 doing [ __ ] for ai ai is my [ __ ] AI is
2:07:21 like
2:07:23 AI right now is like I have an idea and
2:07:26 because of a AI I can get it out of my
2:07:29 head so so you know what's funny I think
2:07:32 the The Narrative of the robots are
2:07:34 going to kill us the robots are gonna
2:07:37 let's see did
2:07:38 this click let's add a
2:07:42 pre-lay there's no music in there
2:07:50 uh uh
2:07:53 well whatever so anyway you so anyway
2:07:55 you can just you you just keep telling
2:07:56 it to do [ __ ] you want it to do and then
2:07:58 it'll do it so that's that um this is an
2:08:02 interesting question is is AI working
2:08:05 for us or are we becoming slaves of
2:08:09 AI the Hollywood narrative is that the
2:08:12 robots are going to kill us the
2:08:14 Hollywood narrative is that the
2:08:15 Terminator comes to get us the Hollywood
2:08:17 narrator uh you narrative is that you
2:08:21 know how locks Dave out of the spaceship
2:08:23 and won't let him back in that that
2:08:26 we're at the mercy of AI my experience
2:08:29 with AI is it's just sitting
2:08:32 there waiting for me to ask it to do
2:08:35 something and then when I ask it to do
2:08:38 something this is how this is how I like
2:08:40 to think about
2:08:43 it back when I first started using
2:08:45 Photoshop you know when you first start
2:08:46 using an application and you don't know
2:08:48 how to use it you put in like two hours
2:08:51 worth of of work and you get back like
2:08:55 you know two cents worth of value and
2:08:57 then as you get better with it you put
2:08:59 in an hours worth of work and you get
2:09:01 back like we we'll use hours and hours
2:09:04 you put in an hour's worth of work and
2:09:05 you get back like a half hour's worth of
2:09:07 value out of it and then when you get
2:09:09 really good at it you put in an hour's
2:09:11 worth of work and you get back an hour's
2:09:13 worth of value and if if you're super
2:09:17 talented you can you can increase that
2:09:19 by some percentage right put in an hours
2:09:21 worth of work you get back two three
2:09:24 hours worth of value what happens with
2:09:27 AI is I put in two minutes worth of work
2:09:31 and I get back 10 hours worth of
2:09:33 value
2:09:36 consistently now is that 10 hours worth
2:09:39 of [ __ ] that it created perfect no do I
2:09:41 have to go spend time to fix it and do
2:09:44 that yeah but but the proportionality of
2:09:48 the amount of energy I put in and the
2:09:50 value I get out is staggeringly stacked
2:09:53 in my
2:09:55 favor the AI is not asking me to do
2:09:57 anything the AI is literally like a
2:10:00 golden retriever sitting there going
2:10:02 what can I do for you boss what can I do
2:10:03 for you boss anything I can do for you
2:10:05 you got another idea you want me to
2:10:07 expand on that idea let's go make a song
2:10:10 together like that's that's how I see it
2:10:13 that's that's how I see the the thing so
2:10:15 I don't think we're becoming slaves of
2:10:17 AI I like I don't know I'm inspired and
2:10:19 excited by it but you know you might
2:10:22 have guessed that I started a new 30-day
2:10:24 project yesterday using creative prompt
2:10:27 idea stay tuned Silver Fox nice I love I
2:10:30 love a 30-day project idea the amount of
2:10:33 [ __ ] that you could do if you just
2:10:35 focused on one weekend with AI is
2:10:38 mindboggling what Silver Fox is going to
2:10:40 be able to do over 30 days I can't wait
2:10:42 to see it because it's going to be
2:10:43 insane all right last comment here and
2:10:46 then I got to start winding things down
2:10:47 besides here where where else can we
2:10:49 read about the latest things in AI um
2:10:52 follow Paul rer R OE tzer at the
2:10:55 marketing AI Institute
2:11:00 um I would start following people on
2:11:04 Twitter that are in the AI
2:11:07 space and the way that I do it is I go
2:11:09 find someone that I like like Ethan M oh
2:11:12 Ethan mullik is the other person you
2:11:13 should follow um he's a Wharton business
2:11:16 school Professor really into this AI
2:11:18 stuff hang on I got to charge my
2:11:22 um what's it called my gimbal is about
2:11:24 to
2:11:26 die um go go follow him on Twitter the
2:11:29 way I do it is I'll find someone like
2:11:32 Ethan mullik or Sam Alman or Greg
2:11:34 Brockman that I like I look at who they
2:11:38 follow so in in Twitter you can you know
2:11:42 when you go to someone's profile you can
2:11:43 say here's who's following them and
2:11:45 here's who's who they're following click
2:11:47 on that and then just go look at those
2:11:50 people and start following them and if
2:11:53 you do that for like you know half an
2:11:56 hour your entire Twitter Twitter feed
2:11:59 will transform and that's how I get most
2:12:02 of my news is through Twitter because
2:12:03 I'm just following a bunch of
2:12:06 people all
2:12:10 right okay so let's see what do we got
2:12:13 here let me see what this
2:12:17 ISS okay couple of
2:12:20 things if you're on Tik Tok do me a
2:12:23 favor please do me a favor I spent some
2:12:25 time with you tonight I answer some
2:12:28 questions go to my profile click on the
2:12:31 YouTube link and subscribe to my YouTube
2:12:33 channel if you're on YouTube subscribe
2:12:35 to it as well if you haven't I'm trying
2:12:37 to get I can't do any business [ __ ] over
2:12:40 on YouTube until I have a thousand
2:12:42 followers and I'm at like 600 so I need
2:12:45 followers so please go do
2:12:48 that
2:12:50 um plan for
2:12:52 Thursday um Thursday's Thanksgiving we
2:12:56 got tickets for Wicked on Friday so
2:12:59 we're not going to the movies on
2:13:01 Thursday we're not doing a we're not
2:13:03 doing a Thanksgiving dinner here because
2:13:05 my sons are going off with their friends
2:13:07 and we're just gonna eat whatever
2:13:09 because we're like [ __ ]
2:13:10 it we will we will thank each other um
2:13:14 so I'm gonna grab myself a whiskey and
2:13:17 I'll probably be here probably around
2:13:19 8:00 pm on Thanksgiving if you Need to
2:13:22 Escape your insane [ __ ]
2:13:24 family and you want an excuse I've got
2:13:27 to go do this thing I'll be
2:13:30 here so if you want to come hang out and
2:13:33 escape the insanity of your family great
2:13:36 if you come from a from a a a
2:13:39 well-adjusted loving
2:13:42 family [ __ ] you really really the really
2:13:49 really I mean I I mean
2:13:52 did did I say that out loud I'm sorry I
2:13:54 meant good for you that's so awesome for
2:13:56 you I'm so supportive of you and your
2:13:59 loving well adjusted
2:14:03 family there's no such thing I'll be
2:14:10 here okay go see Irregulars all right so
2:14:13 let me let me hop over to the Irregulars
2:14:15 channel here
2:14:18 um okay so if you're in the AI Salon I
2:14:21 love that image Danielle that's really
2:14:23 cool I love that it put paint texture on
2:14:25 it
2:14:26 too um okay so if you're in the AI Salon
2:14:29 if you you know when you join there's
2:14:31 the seven step welcome process there's
2:14:34 community area that talks about the
2:14:35 salon there's a news area there's the
2:14:36 showand tell area there's a bunch of
2:14:38 guilds which are you know sort of sub
2:14:40 communities of of interest and then down
2:14:43 at the bottom there's this thing called
2:14:44 Community clubs hang on and I know Tik
2:14:49 Tok I got it I got it I got got
2:14:52 it fine
2:14:56 fine I'm getting yelled at by my
2:15:05 producer I'll be giving thanks you are
2:15:07 here awesome great
2:15:10 steo all right so we'll go to
2:15:12 Irregulars and so the Irregulars channel
2:15:15 is our little personal private club so
2:15:18 this is the app that that Danielle just
2:15:24 made better communication for everyone
2:15:27 try it now let's see how do I get to it
2:15:31 I guess I gotta copy
2:15:34 [Music]
2:15:40 this invalid subdomain oh that's because
2:15:46 I copied it wrong
2:15:55 [Music]
2:16:01 did that do
2:16:06 it the Link's not working
2:16:16 Danielle oh I think there's a
2:16:19 double there's a Double Dash in here I
2:16:23 think let me see if that's
2:16:28 it
2:16:31 no
2:16:32 no anyway okay let's see and then what
2:16:37 else there was also something else
2:16:40 in
2:16:43 here
2:16:46 nice nice images nice horses Show and
2:16:50 Tell horses love
2:16:52 it all right cool um beautiful so let
2:16:57 me let meadon out of here
2:17:03 so if you haven't joined the salon go go
2:17:06 join the salon please RSVP for the
2:17:09 December 3rd event it's our second year
2:17:11 anniversary you'll be able to get second
2:17:14 year anniversary special special design
2:17:16 t-shirts um you'll be able to hang out
2:17:19 you'll be able to hear people like John
2:17:20 knack who used to be at Adobe that did a
2:17:23 bunch of the Adobe AI stuff he's now at
2:17:26 Microsoft he's going to give us an
2:17:27 update there's a bunch of artists coming
2:17:29 back that have given talks Source Camp
2:17:32 Kelly Camp's going to be there a couple
2:17:34 other people are going to be there from
2:17:35 in here so um come December 3rd mark it
2:17:39 in your calendar 5:00 P PM to 7 PM
2:17:42 Mountain Time on December 3rd AI Salon
2:17:45 2-year anniversary all right it's
2:17:50 important and
2:17:52 we will likely know whatever the hell
2:17:54 Sam alman's going to give
2:17:56 [Laughter]
2:18:06 us all right let's
2:18:10 see beautiful beautiful beautiful
2:18:13 beautiful all right people it's getting
2:18:16 late here tonight oh it's really late
2:18:17 all right it's 10:15 all right we got to
2:18:19 get we got to get everyone out of here
2:18:20 and back bed um off the bed if you're on
2:18:23 the East Coast I feel bad for people on
2:18:25 the East Coast because because this is
2:18:28 kind of late for me and I realize on the
2:18:30 East Coast this a [ __ ] nightmare but
2:18:32 you know hopefully use you use me as a
2:18:34 sleep aid um I hope you had fun tonight
2:18:37 I know it was a it was a uh I was all
2:18:40 worked up I hope I hope there was some
2:18:42 valuable stuff that was said
2:18:44 tonight um all right so on Tik Tock who
2:18:49 we got we got Winston good to see you
2:18:51 sir Jason Robert rossie thank you for
2:18:53 the gifts everyone on Tik Tok who gave
2:18:55 me gifts really appreciate it Janu good
2:18:57 to see you Joy in the House Marina she
2:19:00 recall
2:19:01 Tech um Lori K today's in the house
2:19:05 Winston um Joy
2:19:07 pury spin B3
2:19:10 khakee got lots of people in here Papa
2:19:14 JJ um dude dirty waffle
2:19:21 good name good night good night Joker
2:19:25 good to see
2:19:26 you um let's see who else we got uh
2:19:30 Julie live laugh love uh all right good
2:19:34 beautiful and then over here
2:19:36 on on Ye Old YouTube got Danielle Jeff
2:19:41 Flanigan retr Punk good to see you I
2:19:45 don't dress people with adjusted
2:19:46 families I'm right there with you that's
2:19:48 that's a lovely Thanksgiving sentiment
2:19:51 to to leave you all with tonight if
2:19:53 you're with
2:19:55 your your dysfunctional
2:19:57 family enjoy enjoy the
2:20:06 madness um thank you mods thank you
2:20:09 Irregulars thanks Brandon for doing the
2:20:12 streamyard stuff I know that it's it's
2:20:15 insane trying to get me to pay attention
2:20:17 to anything so so thanks for that
2:20:21 archetypal architect good to see you
2:20:24 Sun Earth
2:20:26 Moon constellations good to see you
2:20:30 all um all right I'm out of here all
2:20:33 right peace out LinkedIn YouTube X great
2:20:37 to see you all thanks for hanging out
2:20:38 tonight peace
2:20:40 out see you tomorrow