AI Learning Lab

Feb 21, 2024 - Embracing AI: Transforming Creativity and Community

ZKWR8FDUF-I
Video2024-03-162:45:259 views

Description

Kyle explores the intersection of technology and artistic expression, emphasizing the importance of community, collaboration, and personal growth. His discussions often revolve around the transformative power of generative AI tools, which empower individuals to enhance their creative processes, whether in writing, music, or visual arts. Kyle encourages viewers to embrace their unique tastes and perspectives, reminding them that the journey of creativity is filled with challenges that can be overcome through practice and exploration. He advocates for a supportive environment where curiosity and generosity thrive, fostering a culture of learning and innovation. For those eager to dive deeper into this dynamic landscape, Kyle invites you to join the conversation at the AI Learning Lab on TikTok: [AI Learning Lab](https://tiktok.com/@aiLearningLab). #AI #Creativity #GenerativeAI #Community #ArtisticExpression #Innovation #learninglab Chapters 00:00:00 Opening Song 00:04:17 Post Board Meeting 00:06:01 Tell Your Friends 00:06:41 Acoustic Guitar 00:07:20 Martin Sexton Song 00:11:17 Ira Glass Quote 00:14:01 The Taste Gap 00:16:01 High Ideals 00:17:36 Generative Ai 00:18:30 Storage Management 00:20:06 We Have Good Taste 00:21:47 Don'T Quit 00:23:34 Fight Your Way 00:24:06 What Becomes Possible 00:25:14 The Irregulars 00:27:06 Ira Glass And Ai 00:28:07 The Lego Analogy 00:31:17 Guilty Feelings 00:32:01 Hard Work 00:33:42 Self-Esteem 00:36:19 First Drafts 00:38:20 Ai Learning Lab 00:39:43 Flushing Out Procrastination 00:40:38 Ai Passion 00:42:47 95% Clueless 00:43:56 Total Freedom 00:45:06 Sora 00:46:46 Organize Chats 00:48:05 Winning Awards 00:49:58 Gutter Cleaner To Oscar Winner 00:51:33 Open Ai Shutdown 00:52:41 Greetings From Jamaica 00:55:10 Gpt Gardener 00:57:54 Renaissance Explosion 00:58:54 Organic Chemistry 01:01:00 Neuralink 01:01:46 Gemini 1.5 01:03:16 Gemini 01:04:52 Multimodal 01:06:13 Obscure Language 01:07:22 Gemma 01:08:16 Ai Mechanics Guild 01:11:50 Open Source 01:13:11 Powerful Models 01:14:14 Does It Lie 01:15:06 Neighbor Speaks Zoto 01:17:16 Pi Might Know 01:18:37 Malaysian Dialect 01:20:33 Zun Chin 01:21:59 Grok Demo 01:24:46 Epic Poem 01:28:18 How Exciting 01:29:10 Japanese 01:30:30 Gemini Update 01:32:01 Grok Chip 01:35:52 Google Translate 01:37:00 Voice To Voice 01:38:22 Linear Algebra 01:40:10 The Tpu Battle 01:41:02 Will Smith Spaghetti 01:41:21 Ai Authenticity Engine 01:43:46 Free Job Scan 01:44:16 The Salon 01:46:38 Meta Chief 01:48:02 Meta Quest 01:48:30 Open Ai Statement 01:51:01 World Id 01:56:55 Blockchain Technology 01:57:04 Us Elections 01:58:58 Nft Bros 02:00:05 Human Confirmation 02:00:30 Compose Music With Ai 02:03:29 Sheet Music 02:04:59 Quantum Distribution 02:05:24 Toddler In Ai World 02:07:02 Sheet Music 02:07:56 30,000 Tappers 02:08:24 Sounds Like Radio 02:11:53 Songwriters Doomed 02:14:19 Songwriter'S Tool 02:16:28 Tattoo Artists 02:18:49 Spell Check 02:19:23 Off My Rocker 02:19:29 Community 02:20:31 The Ai Salon 02:22:10 Values 02:23:51 Curious Not Cynical 02:24:15 Generosity 02:24:47 Exploration 02:25:00 Collaboration 02:25:29 Inclusion 02:26:02 Empathy 02:26:54 Gratitude 02:27:47 Bitter 02:28:12 Introduce Yourself 02:29:19 Guilds 02:29:48 Clubs 02:31:17 The Salon 02:34:39 What Are Gpts 02:34:53 Come Back Tomorrow 02:35:09 Show And Tell 02:37:47 Grok Chips 02:38:02 Weekend Gpt Jam 02:40:12 A Shift Is Coming 02:42:48 Buckle Up 02:42:59 Final Thoughts

Chapters

0:00Opening Song4:17Post Board Meeting6:01Tell Your Friends6:41Acoustic Guitar7:20Martin Sexton Song11:17Ira Glass Quote14:01The Taste Gap16:01High Ideals17:36Generative Ai18:30Storage Management20:06We Have Good Taste21:47Don'T Quit23:34Fight Your Way24:06What Becomes Possible25:14The Irregulars27:06Ira Glass And Ai28:07The Lego Analogy31:17Guilty Feelings32:01Hard Work33:42Self-Esteem36:19First Drafts38:20Ai Learning Lab39:43Flushing Out Procrastination40:38Ai Passion42:4795% Clueless43:56Total Freedom45:06Sora46:46Organize Chats48:05Winning Awards49:58Gutter Cleaner To Oscar Winner51:33Open Ai Shutdown52:41Greetings From Jamaica55:10Gpt Gardener57:54Renaissance Explosion58:54Organic Chemistry1:01:00Neuralink1:01:46Gemini 1.51:03:16Gemini1:04:52Multimodal1:06:13Obscure Language1:07:22Gemma1:08:16Ai Mechanics Guild1:11:50Open Source1:13:11Powerful Models1:14:14Does It Lie1:15:06Neighbor Speaks Zoto1:17:16Pi Might Know1:18:37Malaysian Dialect1:20:33Zun Chin1:21:59Grok Demo1:24:46Epic Poem1:28:18How Exciting1:29:10Japanese1:30:30Gemini Update1:32:01Grok Chip1:35:52Google Translate1:37:00Voice To Voice1:38:22Linear Algebra1:40:10The Tpu Battle1:41:02Will Smith Spaghetti1:41:21Ai Authenticity Engine1:43:46Free Job Scan1:44:16The Salon1:46:38Meta Chief1:48:02Meta Quest1:48:30Open Ai Statement1:51:01World Id1:56:55Blockchain Technology1:57:04Us Elections1:58:58Nft Bros2:00:05Human Confirmation2:00:30Compose Music With Ai2:03:29Sheet Music2:04:59Quantum Distribution2:05:24Toddler In Ai World2:07:02Sheet Music2:07:5630,000 Tappers2:08:24Sounds Like Radio2:11:53Songwriters Doomed2:14:19Songwriter'S Tool2:16:28Tattoo Artists2:18:49Spell Check2:19:23Off My Rocker2:19:29Community2:20:31The Ai Salon2:22:10Values2:23:51Curious Not Cynical2:24:15Generosity2:24:47Exploration2:25:00Collaboration2:25:29Inclusion2:26:02Empathy2:26:54Gratitude2:27:47Bitter2:28:12Introduce Yourself2:29:19Guilds2:29:48Clubs2:31:17The Salon2:34:39What Are Gpts2:34:53Come Back Tomorrow2:35:09Show And Tell2:37:47Grok Chips2:38:02Weekend Gpt Jam2:40:12A Shift Is Coming2:42:48Buckle Up2:42:59Final Thoughts

Transcript

0:02 [Music]
0:09 [Applause]
0:13 [Music]
0:20 [Music]
0:29 oh
0:31 [Music]
0:35 AR you
0:37 boy with a quiet
0:40 voice and impeccable
0:43 [Music]
0:47 style don't ever let them steal a
0:51 joy and gentle
0:53 ways in your face dress you down and
0:57 tell you that your place is in the
0:59 middle when they hate the way you
1:03 [Music]
1:05 shine I see you tugging on your
1:08 shirt trying to hide inside of it hide
1:13 how much it
1:15 hurts you let them
1:18 laugh while they
1:20 [Music]
1:22 can let them
1:25 spin let them scatter in the Wind
1:32 the movies I've
1:39 seen on
1:42 [Music]
1:57 them you done you just barking at out
2:00 you're just done just whoop done that's
2:10 it you get discouraged don't you
2:15 girl it's your brother's world for a
2:18 while
2:23 longer we got to dance with the devil on
2:26 a river to beat the
2:29 Stream
2:33 call a living a
2:35 dream call a kicking a
2:39 ladder they come to kick d in your face
2:43 dress you down and tell you that your
2:45 place is in a middle when they hate the
2:48 way you
2:50 [Music]
2:53 shine now that was the wrong that was
2:56 the wrong lyrics but you're
2:57 [Music]
2:59 singing
3:02 [Music]
3:10 they let them
3:13 spin let them
3:15 [Music]
3:18 scatter I've been to the movies I've
3:21 seen
3:24 how
3:25 [Music]
3:29 jok
3:32 [Music]
3:46 he's pissed he's pissed he's not happy
3:48 now he's like I'm not singing
3:53 [Music]
3:59 anymore
4:08 [Music]
4:17 oh good evening good people what the
4:19 hell day is today Wednesday oh right I
4:21 had a board meeting board meeting ouch
4:23 board meeting went fine showed them some
4:25 of our new AI stuff they were like well
4:27 that's that's
4:28 fancy that's very fancy what you've
4:31 created
4:33 [Music]
4:54 there yeah this is a good comment shirt
4:57 isn't it yeah sometimes I do better than
5:00 others I try to do good every
5:03 [Music]
5:14 [Applause]
5:17 [Music]
5:20 night that shirt looks kind of square
5:24 thanks amethyst Jen you mean it's got
5:26 squares or like I'm
5:28 boring is the hair ha's the hair boring
5:31 yeah hair's a little boring what are you
5:32 going to
5:34 [Music]
5:59 do
6:01 so do me a favor tell all your
6:04 friends tell all your friends you're
6:05 like Hey listen listen I just canceled
6:08 by Netflix account I'm watching this
6:10 fascinating Tik Tok Channel I watch it
6:12 two hours a night three hours a night
6:14 night seven nights a week yeah you
6:17 should come watch it come watch it now
6:20 what's it about uh puppies it's about
6:22 puppies in ai ai yeah a little bit just
6:26 a little bit of a I hate II you should
6:29 come watch it
6:30 [Music]
6:41 I love the acoustic guitar I have one
6:43 but need to practice more you know what
6:46 helped
6:47 me well this this is I don't know if you
6:50 have ADHD but if you have ADHD this can
6:53 help one of the one of my symptoms of
6:56 ADHD is sometimes I'll get a song stuck
6:58 in my head for [ __ ] in
7:03 months uh especially if it's a song I
7:05 like like I did it with avit Brothers uh
7:08 uh I and you and me or whatever the hell
7:10 that one's
7:12 called I did it with a bunch of Martin
7:14 ston songs I did it with some John
7:15 hayatt songs I did it with some Brandy
7:17 Carlile songs I did it so what helped me
7:20 get better with
7:23 [Music]
7:27 guitar is I found someone
7:30 that I really liked this playing and it
7:32 was
7:32 really significantly
7:36 beyond my skill and then I picked a song
7:40 of his that was also significantly
7:42 beyond my
7:43 skill um and so the the artist for me
7:47 was Martin
7:48 ston and so I just played the same song
7:54 for like I don't know 3
7:58 months and just sucked a little bit less
8:01 each
8:02 [Music]
8:22 time sitting in this lonely
8:25 Town wonder when things are going to
8:28 change
8:32 dream my life
8:34 away seems these dreams have turned to
8:37 Bunch D
8:40 clouds getting my nerve up but my past
8:44 is pulling me
8:48 down wondering how
8:51 long this black sheep going to stick
8:58 around somebody told me once before you
9:03 can never go home
9:05 again won't you
9:07 leave say things to steer me away yeah
9:13 from the truth of who I am and what I
9:16 believe so I thanked him for his two
9:19 cents with a
9:20 handshake and some sympathy yeah I
9:24 packed up my blue
9:27 jeans headed for this big
9:31 price of my
9:35 freedom
9:36 byebye Black Sheep to the black sheep of
9:41 the
9:43 family
9:45 [Music]
9:47 byebye oh that means so very much to
9:51 me
9:53 by black sheet to my friends and my
9:58 family
10:03 by going off and set my
10:07 soul set it
10:12 free
10:13 free times they were
10:17 changing did a little bit of
10:22 rearranging take a couple
10:25 chances my progress I know advances is
10:30 to the
10:32 time of my
10:35 freedom
10:37 y
10:39 [Music]
10:44 y
10:46 [Music]
10:53 y and then Martin Sexton goes on from
10:55 there and [ __ ] slays it I can't sing
10:57 what he does next but like that was one
11:00 that took me months to get the guitar
11:04 the singing the like like anywhere close
11:07 to not
11:09 embarrassing do you know that do you
11:11 know the Ira Glass if if you've got
11:14 taste thing do you all know that one
11:17 that might be a nice way to start off
11:20 tonight let's see if I can find
11:26 it I think this one of the most
11:28 beautiful
11:32 the most beautiful articulations of why
11:35 art is hard and why it's
11:57 important it's called irlas the creative
12:06 process let's see that's 155 that's 2011
12:09 I think this the whole respecting the
12:11 makers comes back in reversal thriving
12:14 and growing Together full
12:18 circle nobody uh tells people who are
12:21 beginners and I really wish somebody had
12:23 told this to me is that um all of us who
12:25 do creative work like you know we get
12:27 into it and we get into it because we
12:28 have good taste but it's like there's a
12:30 gap that for the first couple years that
12:32 you're making stuff what you're making
12:34 isn't so good okay it's not that great
12:37 it's it's trying to be good it has
12:38 ambition to good but it's not quite that
12:39 good but your taste the thing that got
12:42 you into the game you're your taste is
12:43 still killer and your taste is good
12:45 enough that you can tell that what
12:46 you're making is kind of a
12:48 disappointment to you you know what I
12:49 mean a lot of people never get past that
12:51 phase a lot of people at that point they
12:53 quit and the thing I I would just like
12:55 say to you with all my heart is that
12:58 most everybody I know know who does
13:01 interesting creative work they went
13:02 through a phase of years where they had
13:05 really good taste they could tell what
13:06 they were making wasn't as good as they
13:08 wanted it to be they knew it felt short
13:10 it didn't have this special thing that
13:12 we wanted it to have and the thing I
13:14 would say to you is everybody goes
13:15 through that and for you to go through
13:17 it if you're going through right now if
13:18 you're just getting out of that phase
13:20 you got to know it's totally normal and
13:22 the most important possible thing you
13:24 could do is do a lot of work do a huge
13:26 volume of work put yourself on a
13:28 deadline so that every week every month
13:30 you know you're going to finish one
13:31 story because it's only by actually
13:33 going through a volume of work that
13:35 you're actually going to C catch up and
13:37 close that Gap and your the work you're
13:39 making will be as good as your Ambitions
13:42 in my case like I I took longer to
13:45 figure out how to do this than anybody
13:48 I've ever
13:49 met it takes a while it's going to take
13:52 you a while it's normal to take a while
13:54 and you just have to fight your way
13:56 through that
13:58 okay
14:00 that
14:01 beautiful a lot of people never get past
14:03 that phase a lot of people at that point
14:04 they
14:06 quit
14:08 that's that's the [ __ ] tragedy right
14:11 there
14:17 right that your work isn't shitty
14:19 because your work is shitty your work is
14:23 shitty because you have taste that's so
14:26 [ __ ] profound isn't
14:28 it
14:30 that you're just trying
14:34 to express yourself
14:38 into your
14:43 taste and so many people quit before
14:46 they get
14:50 there and that's [ __ ]
14:56 [Music]
14:58 tragedy
15:00 I think it's I think if there's a single
15:02 thing a single thing on this planet that
15:06 I'm most passionate about it's
15:11 this that it's working with people who
15:14 have taste that it's working with
15:17 people who are trying to live up to
15:19 their
15:25 taste it's working with people that are
15:28 willing to put in the work
15:33 only going through a huge volume volume
15:36 of work do you ever have the chance of
15:39 catching up to your
15:46 taste I just love that idea it's not
15:48 that you're not talented it's not that
15:50 you're not skilled enough it's that you
15:53 just haven't caught up to your taste
15:55 isn't that [ __ ]
15:58 brilliant
16:01 having high ideals and perfectionism
16:03 prevents me from
16:06 creating right that goes back to
16:12 this where is
16:16 it where is
16:19 it is kind of a disappointment to you
16:21 you know what I mean a lot of people
16:23 never get past that phase a lot of
16:25 people never get past that
16:28 phase so the trick
16:32 is
16:35 celebrate that you're not there yet
16:38 because it means you have taste and your
16:42 job is to just keep doing the work until
16:44 you get there here's the other thing
16:47 here's the other thing what's what's
16:48 your name Ridge oh wait where's my
16:50 where's my hang on people I need I need
16:54 my black piece of paper I can't read the
16:56 lettuce hang on we got Construction
16:59 paper for
17:02 this $20 $20 million Production Studio
17:06 and we're going with black construction
17:07 paper to read the the screen yes so
17:10 what's your name Ron
17:12 Diggity
17:15 um having high ideals and Perfection
17:18 perfectionism prevents me from
17:20 creating celebrate that Gap cuz the Gap
17:24 means that you have the
17:26 taste you're already there you're
17:29 already an
17:31 artist now it's just about doing the
17:33 work here's the thing I'm most excited
17:36 about with generative AI one of the
17:38 reasons I
17:39 dump hours a night onto this Channel and
17:44 and many more during the week into the
17:45 AI salon and other
17:51 endeavors is
17:57 that we're living in a Time in
18:02 history I I recorded an an Murphy and
18:06 and uh Cindy Co and I and a couple other
18:08 people
18:09 Suzanne and two other folks um are
18:13 creating a video series about gpts and
18:16 the first chunk that we recorded today
18:18 was just the five of us
18:20 talking and it was it it it was just
18:24 amazing like like realizing
18:28 that
18:30 we're living in a
18:31 time where people who uh three M storage
18:36 management love that I need to watch
18:38 wait oh crap I just lost it I I need to
18:40 watch that video again just put it put
18:41 it back up there again for
18:46 Jim by the way if you don't know Jim
18:48 Ross thre mile management you should get
18:52 to know him he's an amazing
18:56 guy I don't know what that what that
18:59 comment was if you can repin repin it if
19:01 you can find it oh wait here it is I
19:03 need to watch that video again on the
19:04 hard days yeah yeah exactly let's watch
19:07 it again I I
19:09 just Ira Glass has such an Elegance in
19:12 how he talks and how he articulates this
19:14 idea and it's what I love about this
19:17 quote I I assume he's not reading this
19:19 like this sounds like he's in an
19:21 interview right and he's just talking
19:22 this you can tell that this is an idea
19:25 that he
19:27 has processed
19:30 10,000 times you know it's there's
19:34 something about the Elegance of How It's
19:36 articulated just as he's talking
19:39 it nobody uh tells people who are
19:42 beginners and I really somebody had told
19:44 this to me is that um all of us who do
19:47 creative work like you know we get into
19:48 it and we get into it because we have
19:50 good taste but it's like there's a gap
19:52 that for the first couple years that
19:53 you're making stuff creative work like
19:55 you know we get into it and we get into
19:57 it because we have good taste I love
19:59 that to get to do creative work we get
20:02 into it because we have good taste I
20:04 want to do that I could do that right
20:06 you aspire to
20:10 something but it's like there's a gap
20:13 that for the first couple years that
20:14 you're making stuff what you're making
20:16 isn't so good it's not that great it's
20:19 trying to be good it has ambition to
20:20 good but it's not quite that good but
20:22 your taste the thing that got you into
20:24 the game you're your taste is still
20:26 killer your your taste is still killer
20:30 the thing that got you into the game the
20:32 thing that made you say I want to do
20:35 this I can do that I want to write a
20:38 screenplay I want to write a novel I
20:40 want to write a poem I want to make a
20:42 GPT striving is living in action
20:45 absolutely lunatick again you your taste
20:48 is still killer oh by the way lunatick
20:50 when we when we were recording our
20:54 um our little conversation today one of
20:58 the things we were talking talking about
20:59 us talking about people who have
21:02 transformed themselves with with you
21:04 know just AI in some way and I was
21:07 telling your story and I started balling
21:08 like a baby so thank you for
21:12 that but it'll be recorded so you'll be
21:14 able to watch it over and over again um
21:17 I was telling the story about how you
21:20 know you were creatively stuck and then
21:22 you made these gpts and got really
21:24 excited and then you told me at one
21:26 point you went and got your index cards
21:30 and you were making you were basically
21:31 just pulling out old index cards and
21:33 that got me choked up and then I told
21:36 the story about when when um you created
21:39 the Alexander Hamilton GPT and you were
21:41 feeling hopeless about the future of our
21:42 company or country and you had a
21:45 conversation with Alexander
21:47 Hamilton and it restored faith for you
21:51 in our democracy and it just in telling
21:54 it I just [ __ ] broke down I'm getting
21:56 choked up now it's amazing
22:00 and your taste is good enough that you
22:01 can tell that what you're making is kind
22:03 of a disappointment to you you know what
22:05 I mean a lot of people never get past
22:07 that phase a lot of people at that point
22:08 they quit don't [ __ ]
22:13 quit and the thing I would just like say
22:15 to you with all my heart is that most
22:18 everybody I know who does interesting
22:21 creative work they went through a phase
22:23 of years where they had really good
22:25 taste they could tell what they were
22:27 making wasn't as good as they wanted it
22:28 to be they knew it felt short it didn't
22:30 have this special thing that we wanted
22:32 it to have and the thing I would say to
22:34 you is everybody goes through that and
22:36 for you to go through it if you're going
22:37 through it right now if you're just
22:39 getting out of that phase you got to
22:40 know it's totally normal and the most
22:42 important possible thing you could do is
22:45 do a lot of work do a huge volume of
22:47 work put yourself on a deadline so that
22:48 every week or every month you know
22:50 you're going to finish one story because
22:52 it's only by actually going through a
22:54 volume of work that you're actually
22:55 going to C catch up and close that Gap
22:58 and your the work you're making will be
23:00 as good as your Ambitions in my case
23:03 like I I took longer to figure out how
23:07 to do this than anybody I've ever
23:09 met it takes a while it's going to take
23:12 you a while it's normal to take a while
23:14 and you just have to fight your way
23:16 through that you just have to [ __ ]
23:18 fight your way through that that's it
23:23 man
23:27 okay yeah
23:31 that's a good
23:34 one and here's the good news we we are
23:37 living at a point in history where these
23:40 tools these AI
23:44 tools what if I told you
23:46 that to improve your videos
23:49 fast these tools are leveling people
23:53 up so one of the other things we talked
23:55 about in the in the conversation today
23:59 is
24:06 that what becomes possible for you so
24:10 like back to the irog glass taste
24:12 thing what becomes possible for you when
24:15 when in your soul you're like I know I'm
24:18 really good at writing and I'm sort of
24:20 good at
24:21 design and I don't really feel confident
24:23 about much
24:25 else what becomes possible for you
24:29 when now
24:31 you're brilliantly good at writing
24:34 brilliant at
24:36 design really good at illustration
24:38 really good at making music really good
24:40 at making video really good at project
24:43 management really good at
24:45 coding what happens when all of a sudden
24:47 you go
24:48 from a capability and a half where you
24:51 live up to your
24:53 taste to 10 of
24:56 them or 50 of them
25:00 that's the era we're
25:05 entering that's [ __ ]
25:11 insane the people that show up here
25:14 night after night they've nicknamed
25:16 themselves the Irregulars I just think
25:18 they're weird but they claim they're not
25:21 they claim they're not
25:22 weird they just say we're just we're
25:24 just
25:27 irregular
25:30 I'm watching
25:31 them in real time just [ __ ] go from
25:36 like I don't think I can
25:39 do to holy [ __ ] I just did a thing
25:42 that's kind of cool to oh this is really
25:45 amazing to oh this is cool so now I do
25:47 this and now I do that two you know what
25:49 I'm leading a seminar next week to oh I
25:51 just got promoted at work and now I'm
25:52 doing this and I'm I'm like watching
25:54 their energy thank you very much guys
25:57 I'm watching their energy go go
25:59 from kind of
26:02 retracted scared what do I do I don't
26:04 know
26:06 anything to just
26:09 blossoming and becoming contributing
26:11 members of the AI Salon community and
26:17 becoming
26:19 self-expressed humans on all sorts of
26:23 levels and all sorts of channels right
26:27 some of them are making music musical
26:30 with sunna some of them are just getting
26:32 killer
26:33 with images and and killer with images
26:36 is really interesting some are going
26:38 really artistic others are going like
26:41 funny others are going like you know
26:44 commentar and
26:46 satire some are going video thank you
26:49 Empower I appreciate that a lot that
26:51 means a lot oh thank you very much thank
26:53 you Robert Russy it's very
26:57 generous and they're just [ __ ]
26:59 Reinventing
27:01 themselves and like to a person that I
27:03 talk to that's that's that's going
27:06 through it's kind of like the Ira Glass
27:08 thing it's like with this AI [ __ ] it's
27:09 like just [ __ ] play with it
27:14 enough until it starts doing [ __ ] that
27:17 lives up to your taste because what's
27:19 happening with AI is it's getting better
27:22 while you're learning it so like you're
27:25 learning it you're like I'm not very
27:27 good at prompting and my image is to
27:32 suck and I know that's how you sound
27:34 when you're on your
27:36 [Music]
27:37 own it annoys the people around you I
27:40 can promise you that so you should just
27:41 stop that
27:44 [ __ ] and then but you're getting better
27:46 and you're getting better and you're
27:47 making images like maybe that's okay and
27:49 then all of a sudden someday just Sam
27:52 Alman goes hey there's a new thing
27:54 you're like oh okay and you put in the
27:56 same [ __ ] you used to do and all of a
27:58 sudden you're like
27:59 holy
28:02 [ __ ] so so so the irid glass thing wait
28:07 I need I need props
28:10 people I guess I'll use Legos Lego
28:14 pens the Ira Glass thing says that's
28:18 exactly how I
28:20 sound should leave me alone I'm I'm
28:23 trying to learn my prompts over here
28:27 just right
28:29 so you're you're you're you're
28:30 struggling you enter the AI learning lab
28:32 or you enter you know trying to figure
28:34 this [ __ ]
28:35 out and you're like ah sure would be
28:37 good if I didn't suck at writing you
28:39 know you're up here's Hemingway right
28:42 you're like okay I want to be like
28:43 Hemingway and you're like I can't form a
28:47 sentence and you you're playing around
28:49 with these tools and you sort of move
28:51 from green to light
28:53 green and then what's happening now like
28:56 in the olden timey days the move from
28:57 green to like green was like 6 months
29:01 and then the move to Yellow was like
29:02 another year and then the move to Orange
29:04 was like 3
29:06 years and you never [ __ ] get the red
29:09 and then you know there's Hemingway
29:10 right and it and it's like you still
29:12 Aspire for this [ __ ] but you're like if
29:15 I can be on the border between orange
29:17 and red okay I I'll I I'll be willing to
29:19 let someone read my work right but now
29:22 we're in AI world and you start out here
29:27 and AI sort of instantly takes you to
29:31 yellow and then as the tools get better
29:34 you're like blasting into orange
29:36 blasting into
29:40 red and what's fascinating for me is
29:44 that we've all got whatever skill
29:46 whatever is the thing that kind of
29:48 Lights us up that we
29:50 do and and there's a handful of people
29:53 on the planet PJ lockran who spoke at
29:55 the AI Salon two weeks ago um he's one
29:59 of these he's he's a guy he's like an
30:00 incredible musician an incredible
30:02 business person an incredible
30:03 illustrator just he's like an incredible
30:07 entrepreneur he's just he's
30:09 like if he tries it he's going to kick
30:11 ass at it and then there's the rest of
30:14 us right so we've got one or two things
30:16 we kick ass
30:18 at and maybe if you're like
30:22 Renaissance you kickass at three or four
30:25 but most people it's one or
30:27 two all of a sudden with this AI
30:31 [ __ ] you're kicking ass at stuff that
30:35 never in your wildest dreams would you
30:38 be any good
30:39 at like for me it's coding and and
30:43 making make not making pictures but like
30:45 illustrating like art making art like
30:48 I'm I'm a good photographer I've got a
30:49 good eye got good taste but I've got no
30:52 skills like
30:55 this and all of a sudden I can have an
30:59 idea for an image in my head and bang
31:01 it's
31:03 there and one of the things that I'm
31:05 noticing in the in the AI salon and I'm
31:09 trying to I'm trying to Tamp out as many
31:11 of these fires as I
31:14 can is
31:17 that people including
31:21 myself feel
31:25 guilty that the the speed with which
31:28 they're they're doing good work is too
31:32 fast and so they apologize for
31:35 it and I'm [ __ ] done with that I'm
31:39 [ __ ] done with
31:45 it I think it's a Remnant from the
31:48 Industrial
31:49 Age work hard work hard for the factory
31:52 you got to work hard hard work is where
31:54 it's at hard work is where it's at you
31:55 got to work hard okay I'll work hard
32:01 and up
32:04 until few years
32:07 ago a lot of the creative work and a lot
32:10 of the knowledge work like research and
32:13 writing and thought
32:16 leadership required
32:19 time because processing language in our
32:22 brains and getting it out of our
32:25 [ __ ] large language models
32:29 and into a form that didn't suck because
32:32 we have taste took
32:38 time and now what we can do is still
32:41 have that same
32:44 intention but instead of it taking you a
32:47 week to get to the first draft you can
32:49 get to it in five minutes that's with
32:52 some back and
32:54 forth and within an hour you can have
32:58 that thing refined to the point that
32:59 it's ready for
33:01 editing so the thing that used to take
33:03 you a week to get to the point that you
33:06 could do a second pass on it you're not
33:09 having an
33:11 hour and you can spend two or three
33:14 hours of that day taking that thing from
33:17 decent to really [ __ ] good and maybe
33:21 you use AI for that and maybe you
33:23 don't and you can do that for [ __ ]
33:26 you're not even good at
33:32 my exper what my experience has
33:42 been depends on your relationship with
33:45 your self-esteem if your relationship
33:47 with your
33:49 self-esteem tends toward the
33:52 shameful I used to joke on this channel
33:54 about shame is my love language I've
33:56 stopped that it was a joke and it was
33:59 mostly true right good comedy comes out
34:02 of
34:07 Truth and what I've noticed is
34:11 that
34:14 um AI is providing a capability boost
34:19 but it's also providing a confidence
34:22 boost because I can get to the ideas so
34:26 much faster and I can have more of
34:28 them and chat GPT is also like a golden
34:31 retriever it's like gee Kyle that was a
34:33 swell idea can you give me another let
34:35 me make it better for you oh yeah you
34:37 want a picture too here you go there's
34:40 there's like a there's like a there's
34:42 just like a there's not a lot of
34:46 room to go oh I don't have talent I got
34:49 writers block I can't do that I can't
34:51 come up with any ideas it's like I wish
34:53 I had an idea for a dog jumping over a
34:56 log oh [ __ ] there's 20 ideas oh oh that
35:00 one's not bad oh oh I kind of like that
35:03 oh well I guess I am pretty smart after
35:08 all and it's like like that happens
35:11 daily I wrote an outline in a and a in a
35:15 10-minute in a couple of minutes tweaked
35:18 it in a few more minutes probably had
35:21 enough to do the recording in about 15
35:24 minutes yeah yeah like oh I've got an
35:28 idea to make a video oh dear CH jbt dear
35:32 dear chbt very good to see you again
35:35 it's fantas you look good you look did
35:37 you lose weight anyway uh there's no
35:40 shaming in here okay anyway all right um
35:44 I would like an outline I'm thinking
35:46 about doing a video but you know I don't
35:49 have a lot of talent I don't have a lot
35:50 of time and here oh
35:53 my that's pretty good right and then few
35:57 minutes later oh that's really good and
35:59 then all of a
36:00 sudden you go from like the thing that
36:03 would have been your trap in the old in
36:06 the olden timey days you know like
36:09 2021 the thing that would have been your
36:11 trap which is if I want to get this
36:13 thing to 80% it's going to take me a
36:15 week and I've got to battle my shame
36:17 demons for the entire [ __ ] week to
36:19 get to that first draft how many first
36:22 drafts never survived the first
36:26 day many
36:31 I'm experiencing that less and less and
36:34 less and
36:38 less it's it's almost like it's almost
36:41 like before you could use oh it's too
36:45 hard as the excuse not to do the work
36:47 because what you were really feeling was
36:49 I'm not good enough and it won't live up
36:51 to my taste so I'm not going to do it
36:53 but it's hard and that's why I'm not
36:55 doing it it's just I'm too tired and
36:57 it's too
36:59 hard and now you don't have that excuse
37:02 anymore so now you're like oh [ __ ] well
37:05 it's not too hard so I can't justify it
37:08 that way oh [ __ ] am I just scared is
37:11 this just fear is this fear of what
37:13 other people are going to think of me oh
37:15 [ __ ] oh that's the sweat okay I'll wait
37:18 for a day I'm just going to sit back you
37:20 don't have the excuses anymore that you
37:22 can justify not doing
37:24 it cuz you can [ __ ] knock that [ __ ]
37:27 out now and and you can knock it
37:29 out you can get stuff to 80% so
37:34 fast and that was the drudgery
37:37 work and then you can do things like
37:40 this you're like well actually Paul
37:43 rater talks about this he says he
37:44 doesn't write to produce things he
37:47 writes to understand the thing he's
37:50 writing about right for him it's a way
37:52 of mentally processing the
37:56 thing okay so write your 80% draft like
38:00 that to process the thing and then use a
38:03 i to tweak it and you know edit it and
38:06 give you ideas and reorganize
38:11 it and then it's just really [ __ ]
38:16 good anyway hi my name's Kyle
38:20 Shannon welcome welcome to the AI
38:23 learning
38:25 lab um we talk about stuff here AI
38:30 life I have ADHD and AI helps keep the
38:34 hyperfocus and dopamine going without
38:36 the speed bumps totally Jane do Jane
38:41 qo
38:43 yeah AI is like a video game a AI is
38:46 like a creativity video game I have an
38:50 idea here it is
38:53 materialized I'd like to make that a
38:55 picture here's your picture
38:59 Vicky Baptist in here does 3D printing
39:02 as as a side business or as a business
39:04 business I think it's a side business
39:06 she's got all sorts of 3D printers and
39:08 stuff so she can like come up with
39:11 ideas visualize them like that and then
39:15 send them off to the 3D print
39:17 farm and start materializing
39:24 stuff holy
39:26 [ __ ]
39:29 so if you want to learn how to do that
39:31 stuff that's what we do here that's what
39:32 I talk about so if you have questions
39:34 about
39:35 AI pop it down Three Mile Storage
39:37 management AI is Flushing out the pro
39:39 procrastination and self-doubts for me
39:41 yep that's it for me
39:43 too it's you know it's funny it's funny
39:45 Jim
39:48 I I'm kind of
39:50 consciously I'm kind of consciously
39:53 procrastinating now meaning meaning like
39:57 it used to be I'd go oh it's too hard I
39:59 don't have the energy this that I'd have
40:01 all these excuses and now like I know
40:02 that's not reality anymore that it's not
40:05 going to take me that long like it's
40:06 literally going to take me 15 minutes
40:09 right for whatever the thing is and I'll
40:12 just go oh [ __ ] it I'll get to it like
40:15 you know I'll I'll I'll keep feeding my
40:17 ADHD brain where I got to have the
40:19 dopamine hit so I'll push it to the last
40:20 minute just to do it but I'm like I'm
40:22 much more conscious of it now it's much
40:24 more it's almost like I have an inside
40:26 joke with myself
40:28 like yeah you're going to be able to do
40:29 it in a few minutes doesn't [ __ ]
40:30 matter I'm loving this thank you you'll
40:33 help me reignite my AI passion Ron
40:35 Diggity yeah please do please do because
40:38 here's the thing with with the AI stuff
40:41 and and AI
40:46 passion one of the really lucky things
40:49 about being AI literate right
40:55 now is that there are essentially zero Z
41:01 Stakes if you decide to do something
41:03 with AI and you make the
41:06 worst the worst possible output like
41:09 like in the history of humanity if you
41:11 create the worst AI output in the
41:13 history of humanity and you show it to
41:17 people and you go I did this with AI and
41:20 I go oh
41:22 okay it doesn't matter because 3 months
41:26 from now the tools are going to be 10
41:27 times better and 3 months after that
41:29 they're going to be 50 times better 3
41:31 months after that we like our eyes are
41:33 just going to we're going to wake up in
41:35 the morning our eyes will start watering
41:36 tears as just [ __ ]
41:40 happens so so we have a we have a window
41:43 right now where all you have to do is
41:46 play just play don't put any pressure on
41:50 it's got to be good it's got to live up
41:52 to your expectations or anyone else's
41:55 expectations most people don't know that
41:57 this [ __ ]
41:58 exists and that's not a joke McKenzie
42:02 the McKenzie report that came out in
42:03 November 82% of Americans have not used
42:07 chat GPT
42:10 82% so that means 18%
42:16 have and that probably means that a huge
42:19 percentage of the
42:20 18% probably opened it once and
42:24 went you know describe a Dalmatian puppy
42:27 for me and it described it and then they
42:30 went it's stupid I don't like it and
42:31 I've never used it
42:33 since so let's call it half half of the
42:37 18% said
42:39 that have have used chat GPT once they
42:42 they still don't know what it is but
42:44 they said they used it so now we're down
42:45 to
42:47 9% how many of that 9% are paying the 20
42:51 bucks a month for chat gp4 I think it's
42:53 low even in this channel even in the AI
42:56 salon I am constantly surprised by
42:59 someone who I assumed had paid the 20
43:03 bucks for chat gp4 is like I think I'm
43:05 going to get chat gp4 now I'm like what
43:07 the [ __ ] are you waiting
43:12 for so so that so we're probably down to
43:15 5% have chat GPT
43:19 4 and then how many software
43:21 subscriptions do you have where you
43:23 bought the subscription and then never
43:25 really got around to using it a lot
43:28 right so let's call that half again so 2
43:31 and a
43:34 qu% of people in
43:38 America have any clue any
43:43 clue how powerful these AI tools
43:49 are 90 let's call it 95 95% of people
43:54 don't have a [ __ ] clue
43:56 so total freedom for us that are playing
44:00 right now to just [ __ ] around just [ __ ]
44:02 around and find out does it work is it
44:04 good is it as brilliant as I think oh
44:06 I'm going to go make a feature film oh
44:08 [ __ ] I can only make 4 second clips and
44:11 they're completely morphe and clamation
44:14 and weird I can't this is oh my God it's
44:16 all well maybe I'll try I right like you
44:19 can't [ __ ] up right
44:21 now if you make something remotely
44:24 interesting with video right now with
44:27 with Runway and
44:29 Pika people are like oh my God it's
44:32 glorious if you look at it objectively
44:35 compared to what filmmakers do you're
44:39 like well it's I mean it's it's okay for
44:43 AI but it
44:45 ain't you know it ain't 16 mm film with
44:49 a decent
44:52 editor but then open AI announces
44:56 Sora and all of of a sudden if you made
44:58 that Runway film and you know how to
45:01 make something decent out of something
45:04 crappy what are you going to do when the
45:06 Tool comes out where you can do
45:08 60-second
45:09 clips that are hard to distinguish from
45:14 reality well you're going to [ __ ]
45:16 kill it so so here's the 16 mm short
45:19 film here's your Runway film right
45:21 you're like yeah it's it's kind of janky
45:24 and embarrassing but maybe I'll show
45:25 some people and all all of a sudden
45:27 you're going to have tools that are
45:28 going to allow you to sort of execute up
45:31 here
45:33 overnight so there's no risk right now
45:36 zero
45:39 risk we all you all we have
45:46 permission to do
45:48 anything well I can't use it at work go
45:52 get yourself a $200 Chromebook and use
45:54 it at home on the weekends and nights
45:56 get it on your [ __ ]
45:59 phone start having conversations with pi
46:02 or chat gpt's mobile apps that have
46:05 conversational
46:07 ai go to cop pilot. microsoft.com if
46:10 it's not blocked at your work and start
46:12 making images and start experiencing
46:14 what it's like to interact with a large
46:15 language
46:17 model go to perplexity and see what it's
46:20 like to interact with a model that
46:22 actually does searches on the internet
46:25 and provides citations to the ANW so you
46:27 can go check the
46:31 work go
46:33 too. and say make me a song about being
46:37 frustrated that my boss is an
46:40 [ __ ] in the
46:43 Blues I just want chat GPT to let me
46:46 organize my chats oh my God wind rider
46:48 can you believe we still can't search
46:50 for [ __ ] we can't search our [ __ ]
46:52 chat history in the desktop app I'm like
46:55 what in the what in the [ __ ]
46:59 seriously okay I'll I'll give open AI
47:02 that that creating a folder High
47:05 hierarchy where you can stick your chats
47:07 in folders and save them I I get that
47:10 that might take three weeks but they've
47:13 already got the chat functionality in
47:15 the mobile app just put it on the
47:17 [ __ ] interface call the same
47:22 API I'm right there with
47:25 you which is again for evidence that
47:28 we're so [ __ ] early
47:30 here that you can do
47:35 anything so okay so your taste is up
47:38 here and your AI skills are down here
47:40 and the tools are down here well just
47:42 dick
47:43 around and your skills will little get a
47:45 little bit better and the tools are
47:47 going to [ __ ] make gargantuan
47:52 leaps and then you'll be one of the ones
47:55 that gets to say look at this thing I
47:57 made and people will lose their [ __ ]
48:05 mind I'm really excited next Tuesday we
48:07 have Kelly Bosch coming to speak at the
48:10 AI salon and she makes these
48:14 stunning videos with AI she doesn't
48:18 apologize for it she doesn't say it's AI
48:21 she just has a Tik Tok Channel and she
48:23 makes these stunning
48:25 videos people and animals and insects
48:28 and ballerina dancers that look like
48:31 insects they're they're just insanely
48:34 good Kieran wants to know about Story
48:36 vine okay I can talk about story
48:41 mine and when I reached out to talk to
48:43 her she's like
48:45 oh I'm not really a big deal I'm not
48:48 like I just I just it's not very good
48:53 like yes it
48:56 is well I don't have a lot of skill I
48:58 just like do it on my phone before I go
49:00 to bed
49:03 what that's even more
49:06 remarkable you do that quality of work
49:09 on your phone as you're going to
49:12 sleep
49:17 yeah holy
49:20 [ __ ] imagine what she's going to be able
49:23 to do when the tools get
49:26 good
49:35 we're going to have people winning
49:36 awards for for storytelling and for
49:39 creative and for things like
49:43 that that have created works that that
49:46 win awards that have never been in that
49:49 industry
49:54 before within three years watch you
49:58 watch there's going to be someone
50:00 accepting an Oscar or a special Oscar or
50:02 an
50:03 Emmy or a [ __ ]
50:09 Tony that was like well I used to clean
50:13 gutters and then I I started hanging out
50:15 in the AI learning lab and uh there was
50:18 this fell I don't know what his name was
50:20 he was an older fell anyway he talked
50:22 about AI he's like just go play with AI
50:24 so I started playing with AI and then I
50:26 you know before I knew it I I'd made
50:28 this masterpiece said what you know
50:31 anyway thanks for the award I I don't
50:33 know many of you people but I've seen
50:34 you in the movies it's pretty you're
50:36 pretty cute it's a this is
50:38 uh they you think they got Jack Daniels
50:41 back there
50:42 CU I'm I'm a wicked Tad
50:47 nervous we're gonna see that Awards
50:51 acceptance
50:54 speech I'm a wicked Tad nervous hope
50:57 they got Jack Daniels back
50:59 [Laughter]
51:04 dear
51:06 yes tell them Bob tell them what they've
51:09 won oh you've won the freedom to do
51:11 anything the [ __ ] you want
51:14 congratulations all right let me see
51:15 what you're saying in here I've been
51:17 rambling for a bit what's it been an
51:18 hour and a half an hour 50
51:22 minutes that's a that that's what we
51:24 call in the AI learning lab a 50-minute
51:26 hello hello
51:33 remember when open AI shut down
51:35 subscriptions I do I have my main code
51:39 and three others are close so I find
51:41 myself working all four for now my
51:44 husband use it used it once and said
51:46 Google's better yeah Jane do exactly you
51:49 watch your husband at some point so Jane
51:52 do you keep using chat GPT you keep
51:55 figuring out what the [ __ ] this thing
51:58 is and I guarantee you Mr Google I tried
52:03 chat GPT once Google's better I
52:05 guarantee you at some point he's going
52:07 to peek over your shoulder and go hey
52:09 Jane uh listen
52:12 uh you know you know Bob at work right
52:15 uh listen uh Bob Bob was telling me that
52:20 that the AI could uh it could do uh data
52:24 analysis do it and and you'll be like oh
52:27 yeah that's called code interpreter I do
52:28 that all the time what what do you mean
52:30 oh I use it to create spreadsheets of
52:33 all my seeds for the garden well how do
52:36 how do you do that oh you just ask
52:41 it Godfrey Lake hey Kyle greetings from
52:44 jamaicon what's Happening greetings
52:47 greetings thank you for checking
52:51 in yeah you just keep playing Jane let
52:54 let hubby let H hubby live in live in
52:56 the on the
53:06 sidelines it's
53:08 cuckoo it's cuckoo what you're you're
53:10 going to discover some things that you
53:12 can
53:14 do you'll be able to do [ __ ] better than
53:17 him at some point and you'll be able to
53:18 do stuff that he and you both
53:22 know there's no way in hell you can do
53:25 and you're going to do it and it could
53:27 be next
53:29 week just by just by messing around with
53:31 this stuff and all of a sudden you'll
53:33 stumble onto something like you're
53:34 you're like oh my God I'm really good at
53:36 this huh I wonder if I did this and that
53:40 and I put it together with that tool I
53:42 bet I could hm hey honey look what I did
53:45 here wait how'd you what do you mean you
53:47 did it who who did you work with I I
53:49 didn't work with any I just in the chat
53:52 [Laughter]
53:55 GPT what do you mean you're a published
53:58 author I just well I just I wrote the
54:00 book and then I Illustrated it and then
54:01 I and I edited it and then I and I edit
54:04 I did a pass on the pictures and then
54:05 came up with the names of the captions
54:07 of the pictures and then then and then
54:09 put it in what that chachy BT taught me
54:11 how to use canva because I well I used
54:12 the canva plugin it took me and then I
54:15 and then I didn't know how to publish
54:16 the Kindle but then all of a sudden I
54:18 went I went I went hey uh oh hey chat
54:20 gbt how do you publish the Kindle and it
54:22 told me it took me step by step and so
54:24 now I'm published I'm a published author
54:26 so sorry sorry I know I know you were
54:29 excited about being published at some
54:31 point two decades ago but anyway um
54:34 ain't that cool what do you want for
54:42 dinner husband's face get red steams
54:45 comes out of his ears I'm so happy for
54:48 you
54:51 honey then three weeks later uh Jane
54:54 could you
54:55 uh
54:59 listen how do you how did you publish a
55:03 [Laughter]
55:10 book oh Corey Sandler I have a GPT
55:13 Gardener's Green Thumb it knows
55:15 everything and Designs Gardens and gets
55:17 seed zones yeah awesome awesome Corey
55:20 Sandler if you don't follow Corey
55:22 Sandler Pottery first of all you should
55:25 follow her Tik Tok Channel second of all
55:27 you should go buy her Pottery cuz it's
55:28 beautiful but you can also watch her
55:30 lives where she makes Pottery she's just
55:32 throwing mud
55:33 around and then occasionally you're like
55:36 oh there's Corey but she's cooking she's
55:39 like La singing cooking then sometimes
55:43 there's a guitar and she's singing and
55:44 then
55:45 lately she's like oh I'm a an
55:50 application developer now because of
55:52 gpts I just make
55:54 gpts and she makes [ __ ] kickass
55:58 gpts and not only is she making them and
56:01 putting them out in the
56:02 world she's
56:05 sharing with the world how she did it
56:09 why she did it how it
56:12 works what's cool about it look at all
56:16 these cool pictures I made in this
56:19 GPT I got to this one and it was really
56:21 cool and then I kept going and I made 30
56:24 more she she's sharing her her work
56:28 process and you know what's
56:30 amazing she she said this I think you
56:32 said this on one of your lives the other
56:34 night she's like I don't even know what
56:37 I'm going to do with this art I'm just
56:38 doing
56:40 it that's the IR glass
56:42 thing just [ __ ] do the
56:45 work just do the work she's making
56:48 remarkable art is she going to print it
56:50 out is she going to have a gallery
56:51 showing is it going to turn into a CD
56:52 ROM I don't [ __ ] know she doesn't
56:54 [ __ ] know it doesn't [ __ ] matter
56:59 but she's getting better and better and
57:01 better and better and then the tools are
57:02 getting better and better and better and
57:05 better and at some
57:08 point she's going to make something and
57:11 all of a sudden it's going to be crystal
57:12 clear I know what I'm doing with
57:15 this and it'll turn into an album or
57:17 it'll turn into a feature film or it'll
57:20 turn into some new form of pottery
57:22 that's never existed before on the
57:24 planet because she conceived of a thing
57:26 and she has some pottery skills and she
57:28 has some this skills and she needs some
57:30 sort of ceramic recipe that didn't exist
57:33 before but oh [ __ ] chbt can help me
57:35 formulate that and all of a sudden she's
57:38 got something that's completely new and
57:39 unique and
57:43 just and it might not even be Pottery it
57:46 might be something they use for the next
57:48 space
57:52 mission like that's the weirdness we're
57:54 in like the the the ren s explosion that
57:58 we're entering right now is just it's
58:00 going to get [ __ ] weird people are on
58:02 people are used to like we get on our
58:05 path we go to college we get on our path
58:07 and like gen Z's kind of [ __ ] that up
58:09 they're like I think I'm going to get go
58:11 get laid for a little bit and then maybe
58:13 I'll go to college and I don't like
58:14 working anyway and now that I got Co I
58:16 don't want to go into the okay maybe
58:19 they were right maybe they're right
58:21 maybe it doesn't [ __ ] matter we don't
58:22 need to be on this
58:25 path right maybe it's like [ __ ] around
58:27 [ __ ] around and then here's these tools
58:30 and up Blossom some talents and skills
58:33 and things that you never conceived you
58:35 have any interest in I really like
58:38 that
58:40 H who knew that I been being into or
58:43 going into organic chemistry in my 50s
58:46 huh who
58:51 knew
58:54 CNN ex accountant creates creates a new
58:58 organic chemical that's going to cure
59:00 this
59:01 disease well I was doing my accounting
59:04 business
59:06 and discovered a passion for organic
59:08 chemistry how'd you do that I don't know
59:11 I asked Chad GPT to make a poem about
59:13 organic chemistry and it did I thought
59:15 it sounded kind of cool and then like a
59:17 month later I uh I came up with my first
59:25 compound
59:28 [Laughter]
59:31 oh so Corey you're going to be creating
59:35 space Ceramics I don't know if you know
59:37 that yet but that's on your that's on
59:39 your little trajectory
59:43 there well I made a picture of a dog in
59:47 a ballet dress and
59:51 then that led to this and then and then
59:54 I went into chyp and then all of a
59:56 sudden Google Google came out with this
59:58 new model and I put the thing in the
59:59 thing and all of a sudden out came this
1:00:01 thing and it was a new Ceramics recipe
1:00:02 so I figured I'd fire it up and then it
1:00:04 had all these
1:00:08 properties and that was the weirdest
1:00:10 thing I hadn't told anyone about it and
1:00:11 NASA just called
1:00:13 me uh Miss Sandler yeah we'd like to
1:00:16 talk to you about your Ceramics
1:00:18 Explorations you want to buy some pots
1:00:21 no oh coffee
1:00:25 mugs
1:00:27 I can make one with NASA on the side
1:00:29 Cory doesn't talk like this by the
1:00:34 way this is just the news version of
1:00:36 Corey that is that has that has invented
1:00:40 a new ceramic for the space space
1:00:45 program I don't by the way I don't know
1:00:48 what the [ __ ] I'm talking about tonight
1:00:50 like I why anyone still here is beyond
1:00:53 me but I hope you're
1:00:55 enjoying
1:00:58 oh I just think of neuralink
1:01:00 interpreting our dreams into images and
1:01:02 videos you can you can essentially do
1:01:04 that right now Kat if you go to
1:01:07 um if you've got chat GPT 4 go to
1:01:10 explore gpts I created a GPT on this
1:01:13 live called Dream Weaver so look up
1:01:15 Dream Weaver by Kyle Shannon and it'll
1:01:19 ask you three questions about your dream
1:01:23 and then it'll visualize your dream and
1:01:26 then then it'll give you a yian analysis
1:01:28 of it so you can you don't need
1:01:30 neuralink for that but neuralink will be
1:01:31 cool because you'll just wake up in the
1:01:33 morning and it'll be like here's what
1:01:34 you saw last night would you care to
1:01:37 comment on
1:01:38 [Laughter]
1:01:41 it that's
1:01:44 crazy
1:01:46 oh it's like those modest singers in
1:01:49 American
1:01:51 Idol uh uh so how do you reach out to
1:01:55 these creators LinkedIn
1:01:57 DM who like Kelly Bosch I just reached
1:02:00 out to her on Tik Tok I just dm'd
1:02:04 her I I I don't I don't do it enough I
1:02:07 should reach out to more
1:02:09 creators
1:02:13 um but yeah you know I
1:02:16 mean most people don't get back to me
1:02:19 share your nightmares with friends
1:02:24 exactly hey Sally Sally want to see the
1:02:27 dream I had last night you show her
1:02:28 she's
1:02:32 like Jane I had no idea you were so
1:02:38 dark oh Gemini 1.5 is definitely better
1:02:42 but chat GPT 5 will be better than that
1:02:45 have you played with with Gemini 1.5
1:02:48 Joker Is it is it out widely yet Ethan
1:02:51 mullock is writing about he's writing
1:02:52 like four articles a day on it it sounds
1:02:55 [ __ ] amazing
1:02:57 but I don't think I have access to it
1:03:03 yet let me see I signed up for it um gem
1:03:09 ni
1:03:11 1.5 so you haven't
1:03:15 heard
1:03:16 [Music]
1:03:20 Gemini Gemini is
1:03:24 Google's chaty PT or it's their large
1:03:28 it's their large language model sitting
1:03:29 underneath
1:03:31 it and they they released Gemini
1:03:36 Advanced two weeks ago and it was it was
1:03:40 a flop it was a
1:03:41 disappointment and then shortly after
1:03:43 that they followed it up
1:03:45 with it was called Gemini Advanced based
1:03:48 on the Gemini Ultra
1:03:51 model and then like a week after it they
1:03:53 announced Gemini 1.5 Pro or Gemini Pro
1:03:58 1.5 and Gemini Pro was their middle
1:04:02 model and it sounds [ __ ] remarkable
1:04:06 so I don't I don't know what they're
1:04:08 doing with their like I don't know if
1:04:10 Gemini Pro 1.5 is actually Gemini Ultra
1:04:13 1.5 I don't I don't think it is but it's
1:04:16 got a million token context
1:04:19 window so you can upload an hour of
1:04:22 video to this thing and just say where
1:04:26 where's the where's the point where she
1:04:28 drops something in the sewer
1:04:31 grate and it will take you right to that
1:04:33 spot of the
1:04:34 video or or answer questions about it
1:04:38 where where it is in the video so it can
1:04:41 it can ingest like an hour of video so
1:04:44 it's multimodal
1:04:46 in and then he also did can ingest like
1:04:49 an hour of video so it's multimodal
1:04:52 in and then he also did like a 600
1:04:57 page multi-document
1:05:03 game you know when neuros
1:05:07 spicy OCD people make games and they
1:05:10 make like really hyper complicated games
1:05:12 it's like one of those games like 600
1:05:15 page
1:05:16 downloadable manual right and he
1:05:19 uploaded that to it and it plays the
1:05:22 game perfectly like it just knows all
1:05:24 the rules it pulls the [ __ ] from all the
1:05:25 do
1:05:27 doents and then the other example he
1:05:29 talked about is
1:05:31 um there's an obscure language that 200
1:05:35 people on the planet
1:05:38 speak and they
1:05:40 uploaded I guess whatever information
1:05:42 they had about this language like 200
1:05:44 people speak it so there was no there
1:05:46 was nothing on the internet so there's
1:05:49 nothing in the core the base model that
1:05:52 knew anything about this
1:05:54 language so they uploaded whatever they
1:05:57 uploaded about this language and it just
1:05:59 learned the language and they had a a
1:06:03 one of the 200 people that can speak
1:06:05 this language was like yeah it's
1:06:10 correct like people are playing with
1:06:12 that right
1:06:13 now and that's not Chad gbt that's
1:06:16 Gemini this this is a Google thing so
1:06:19 the capabilities of these tools are
1:06:21 going to you know 2023 they were going
1:06:24 like you know oh that's cool oh that's
1:06:26 cool oh that's cool 2024 is going to be
1:06:28 like nothing nothing nothing boom here's
1:06:30 Sora boom here's Gemini 1.5 boom it's
1:06:33 going to be these big like Donkey Kong
1:06:36 kind of climbing up the building kind of
1:06:40 moves crazy crazy
1:06:45 crazy Gemini to me is like a bull in a
1:06:47 china shop powerful and Majestic but
1:06:49 damn if you like the status quo I don't
1:06:52 quite know what that means my experience
1:06:54 with Gemini at this point is it's
1:06:56 it's so janky it's not usable like it's
1:06:59 just every other prompt just doesn't
1:07:02 work or it just shows you code instead
1:07:04 of an answer or it's like you ask it to
1:07:07 tell to tell you to show you some
1:07:09 YouTube videos on a certain topic and
1:07:12 then you have it do more and then it
1:07:15 says oh I can't search YouTube what do
1:07:17 you why would you I'm just a large
1:07:18 language model why would you ask me
1:07:19 about YouTube I'm like uh cuz you own it
1:07:22 all uh oh yeah Gemma Gemma was released
1:07:25 today finally so so Pate I didn't get a
1:07:28 I had a board meeting today and then I
1:07:29 had I I've been busy I saw Gemma was
1:07:33 released so so Google released Gemma
1:07:36 which is they're they're basically out
1:07:39 meaing meta so they released a bunch of
1:07:41 open- source Foundation models called
1:07:46 Gemma I guess like Gemini but Gemma
1:07:49 Gemma is the free [ __ ] or the I don't
1:07:52 know what the what the license is in it
1:07:55 is it are they commercial commercial
1:07:56 licenses pate and also like what scale
1:07:59 are I think they're smaller and smaller
1:08:01 and more efficient right so the idea is
1:08:03 to be able to run them on small
1:08:06 devices anyway if you don't know Pate
1:08:08 Pate runs the the um AI mechanics Guild
1:08:13 inside of the AI Salon which I'll talk
1:08:16 about yep woo open source I know and I
1:08:20 oh so so commercial commercial licenses
1:08:22 that's great that's great so so now
1:08:25 we've got most of most of the open
1:08:28 source world right now works on meta's
1:08:32 llama 2 models cuz they were big and
1:08:35 they were good and so there's all these
1:08:36 derivative models you know spun off off
1:08:39 off of that but they're all flavors of
1:08:40 the same thing so having someone like
1:08:43 Google release a competitor to that is a
1:08:47 really big deal are they at the same
1:08:49 level is is are the Gemma models are any
1:08:52 of them at the same level as llama 2 70
1:08:55 billion
1:09:06 P it has two oh okay it's it's got two
1:09:09 two billion and S billion win versions
1:09:11 okay so they're smaller right now yeah I
1:09:13 read that they were
1:09:15 smaller all right well there's going to
1:09:18 be cool [ __ ] coming and and the thing
1:09:20 about um the thing about small models
1:09:24 like that the the open source Community
1:09:26 is going to pounce on those and just
1:09:28 kick the [ __ ] out of them and optimize
1:09:30 them and there's there's cool stuff
1:09:33 coming there's also um Apple released
1:09:37 this thing called mlx which makes it
1:09:39 easy to run
1:09:42 um efficiently run large language models
1:09:46 on iPhones or you know mobile
1:09:48 devices so that's pretty
1:09:51 slick my AI learning mut is snoring in
1:09:54 my lap right now hey know what's
1:09:56 happening you put her to sleep Kyle I
1:09:58 know I know I'm not doing much tonight
1:10:00 but you know whatever what are you going
1:10:01 to
1:10:02 do keep in keep in mind one is not even
1:10:06 close to 1.5 yeah yeah that makes sense
1:10:10 Joker Joker did you say that you're
1:10:12 playing with it you have access to
1:10:24 it
1:10:26 [Music]
1:10:30 did you get Gemini Pro for workspace yet
1:10:32 no I saw that they announced it though
1:10:34 that they released it though did you
1:10:35 hear that Pate they Rel they released
1:10:38 Gemini Pro for for uh or Gemini Advanced
1:10:41 for for work
1:10:43 group Oh no just seen test and reviews
1:10:45 yeah yeah same
1:10:47 here yeah I want to play with right now
1:10:50 I'm I'm jonesing to play with Sora and
1:10:52 I'm jonesing to play with Gemini 1.5
1:10:57 yeah the the 1.5 being dramatically
1:10:59 better than one is kind of like like the
1:11:03 the RoR scale where a magnitude 2
1:11:06 earthquake and a magnitude 3 earthquake
1:11:08 they're not linear right the magnitude 3
1:11:11 is or the magnitude 31 is is
1:11:13 dramatically stronger than the two and
1:11:15 you know every every point is on an
1:11:18 exponential curve or whatever
1:11:21 logarithmic something I don't know some
1:11:23 math some math I don't know about
1:11:35 [Music]
1:11:37 just check the paper again they compare
1:11:39 it to mistal 7B and Lama 7B and 13B okay
1:11:44 cool all right
1:11:46 good that'll be
1:11:48 interesting very very
1:11:50 cool I like seeing Google having having
1:11:53 an open- Source Foundation model in the
1:11:55 game
1:11:58 why
1:12:00 because one of the one of the I think at
1:12:03 this point unfounded fears is that all
1:12:06 of the control of AI is going to rest
1:12:08 within two or three big
1:12:11 companies two or three big companies are
1:12:14 definitely going to have the big Iron to
1:12:17 run the really sophisticated models
1:12:21 but there's increasing competitive
1:12:23 pressure to get this [ __ ] out out of
1:12:25 those companies and so having
1:12:30 meta put
1:12:32 their um foundational models into open
1:12:35 source and now having Google do it as
1:12:37 well puts pressure for other people to
1:12:39 do that and and hopefully we'll have two
1:12:42 or three major companies putting out
1:12:44 significantly powerful models that the
1:12:46 open source Community can build really
1:12:48 sophisticated [ __ ] on now the big tech
1:12:52 companies are likely going to keep the
1:12:54 the sexiest highest end stuff um but
1:12:57 there's a point at which you know how
1:12:59 you remember when computers were not
1:13:02 powerful enough and every time a new
1:13:04 model came out everyone would flock to
1:13:06 buy it because the the perceived
1:13:09 performance jump was so
1:13:11 dramatic that's what we're going to be
1:13:13 doing with with generative AI right
1:13:16 where each next model is going to be so
1:13:18 much better that's like we got to have
1:13:19 the new one we got to have the new one
1:13:21 we got to have the new one a lot of sort
1:13:24 of so so if this this is
1:13:27 gp5 I guarantee you at some point gp4
1:13:30 gets open sourced and put out there or
1:13:31 some you know some gp4 equivalent gets
1:13:34 open sourced and and but we'll we'll go
1:13:37 to open AI or Google or Apple for the
1:13:41 gp5 level [ __ ] and then we'll come out
1:13:43 with GPT 6 and then this [ __ ] will get
1:13:45 open source there's going to be a point
1:13:47 at which the open source stuff is so
1:13:50 powerful that it's just incrementally
1:13:53 more capabilities or speed or something
1:13:56 like
1:13:57 that so but I but but what this says to
1:14:00 me is this AI [ __ ] ain't going away it's
1:14:03 not going away if you're sitting on the
1:14:05 sidelines waiting for this stuff to go
1:14:06 away it ain't going away ain't going
1:14:14 away do I lie to
1:14:17 you I might lie to
1:14:22 you it ain't going away and it's not
1:14:24 going to be it's not going to be
1:14:25 completely controlled by a handful of
1:14:30 companies and you're like well
1:14:32 government might shut it down all right
1:14:34 which government
1:14:40 where cuz the US ain't going to shut
1:14:44 something down if the rest of the
1:14:47 world is creating a competitive
1:14:51 Advantage because of the
1:14:53 stuff the us will go well we'll just
1:14:55 justify it in the following ways we'll
1:14:57 pass these laws and these Scoundrels
1:14:59 can't use it but you know you the rest
1:15:01 of you
1:15:05 can
1:15:06 oh my neighbors speak zoto and I can't
1:15:10 find a translator oh crap I just lost
1:15:12 that where was it wait
1:15:15 ah I just lost it can anyone find that
1:15:19 my neighbor oh here it is Jane Doe I'm
1:15:22 doing that tomorrow hang on wait Jane
1:15:24 Doe let's
1:15:26 go I'm going to okay so I'm on my I'm on
1:15:30 my
1:15:33 iPad if you don't know this for all of
1:15:37 you um if you download the official chat
1:15:41 GPT app you got to be really careful the
1:15:43 official chat GPT app is from open Ai
1:15:47 and it doesn't cost anything okay
1:15:51 okay um so if you get anything that does
1:15:54 cost
1:15:56 you be careful for the app itself now if
1:15:59 you want to upgrade to GPT plus that's
1:16:01 20 bucks a month so that costs something
1:16:03 but the the the app itself to be able to
1:16:05 use GPT 3.5 is free and when you run the
1:16:11 IOS app it's got this I think the
1:16:13 Android app as well it's got these
1:16:14 little headphones here and if you talk
1:16:17 tap on those little headphones I'm going
1:16:18 to put it in gp4 mode cuz it's just
1:16:24 better
1:16:28 do you know the language
1:16:33 zoto I'm not familiar with a language
1:16:35 called zoto it's possible it could be a
1:16:38 very obscure or specific dialect or
1:16:40 perhaps even a constructed language not
1:16:42 widely recognized can you provide more
1:16:45 context or details about it that might
1:16:48 help me understand better or find
1:16:50 relevant
1:16:51 information well Jane Do's neighbors
1:16:54 speak zoto so I assume someone knew
1:17:03 it it seems like you're referring to a
1:17:05 linguistic or cultural context that
1:17:09 isn't widely documented in the major
1:17:11 sources I have access to if zodo is
1:17:13 spoken here let me try let me try Pi Pi
1:17:16 Pi might have
1:17:24 it
1:17:28 [Music]
1:17:30 wait it's not zoto it's zong let's try
1:17:34 zot
1:17:35 [Applause]
1:17:39 tongue I might have pronounced it wrong
1:17:42 is it zot
1:17:50 tongue it looks like there might have
1:17:52 been a mixup with the term zoton the
1:17:55 search results I found primarily
1:17:57 reference zon as a brand name for
1:17:59 lanoo a medication used to reduce
1:18:02 stomach acid rather than a language it's
1:18:04 used to treat conditions like
1:18:06 gastroesophageal reflux disease and
1:18:09 peptic ulcer disease if zoton was
1:18:12 intended to reference a language it's
1:18:14 possible that there's still some
1:18:16 confusion or miscommunication about the
1:18:18 name or spelling of the language in
1:18:20 question languages and dialects can
1:18:23 often have names that are spelled or
1:18:25 announced similarly but refer to
1:18:27 completely different things if you have
1:18:29 any more details or if there's anything
1:18:31 else you're curious about feel free to
1:18:33 share it might be a Malaysian dialect
1:18:37 called zot Tang or
1:18:46 [Music]
1:18:54 Zang
1:18:58 Kyle you have 1.5 just click off of
1:19:00 advanced back to
1:19:02 Pro is that
1:19:05 true is it the is it the million
1:19:08 token Mayan oh
1:19:11 Myanmar tap to
1:19:13 cancel how about Myanmar is there a
1:19:16 language called Zang or Zang in
1:19:23 Myanmar oh laughing Thunder yeah I'll
1:19:25 I'll demo grock it's
1:19:28 amazing oh this thing stopped working
1:19:31 all of a sudden hang
1:19:36 on can you check Myanmar is there a
1:19:39 language called zong or Zang in
1:19:51 Myanmar yes there is a language called
1:19:53 zot also known as Z chin Zia or zo
1:19:57 spoken in Myanmar specifically in the
1:19:58 chin State the zong people are one of
1:20:02 the ethnic groups residing in Central
1:20:04 and Southern chin State the language is
1:20:06 known to have multiple dialects and does
1:20:09 not have a standard written form mainly
1:20:12 because of the various dialectical
1:20:14 pronunciations a way to write zong using
1:20:17 the Latin alphabet was developed based
1:20:19 on the lungo dialect which has been
1:20:21 widely accepted among zotung speakers
1:20:24 interestingly a zong translation of the
1:20:26 Bible was published in 2016 indicating
1:20:29 efforts towards preserving and form
1:20:31 formalizing the
1:20:33 language do you know the
1:20:40 language I don't have the ability to
1:20:42 learn or know languages in the way
1:20:44 humans do so I can't speak or understand
1:20:47 zun chin directly my knowledge is based
1:20:50 on the information that's been made
1:20:53 of let's try pi
1:20:59 hello there's a language in Myanmar
1:21:00 called zotung and I'm wondering if you
1:21:03 know
1:21:07 [Music]
1:21:11 it hey Kyle it's true there is a
1:21:14 language spoken in Myanmar called zong
1:21:16 also known as Zia it's spoken by the
1:21:19 zong people in rzua Township chin State
1:21:21 Myanmar it's actually a Continuum of
1:21:23 closely related and accents and it
1:21:26 doesn't have a standard written form
1:21:28 since there are multiple variations in
1:21:31 pronunciation it's fascinating how
1:21:33 diverse and complex language can be
1:21:35 isn't
1:21:36 it yes if I give you a sentence in
1:21:38 English can you translate
1:21:45 it unfortunately Kyle I don't currently
1:21:48 have the ability to translate into dang
1:21:50 it all right we were
1:21:53 close so those two don't have it someone
1:21:56 will have it somewhere um all right
1:21:59 let's
1:22:01 see demo Gro can be amazed changes that
1:22:04 we're about to see so I think mine has
1:22:06 gone crazy trying to tell me about a
1:22:08 dialect called
1:22:14 Karen
1:22:15 Joker
1:22:19 Joker all right so here's chat gp4 right
1:22:25 we know it we love it it's been it's
1:22:27 been weird I don't know if you've all
1:22:28 have noticed but the last two days this
1:22:30 shit's been weird like the custom
1:22:33 instructions don't seem to work or
1:22:35 sometimes they work but not
1:22:38 always but I'll show you speed
1:22:41 here so we'll
1:22:43 say
1:22:45 um tell me about the
1:22:50 Mayanmar
1:22:51 people that speak Zo
1:22:56 Tong I don't know if that's how you
1:22:58 spell it but close enough that's one of
1:23:01 the nice things about Chachi now look
1:23:03 how see how fast it's typing all right
1:23:06 so we're watching it the zotung language
1:23:08 also known as
1:23:09 zotung is a language spoken by the chin
1:23:12 people in Myanmar the chin people are of
1:23:15 the major ethnic minority
1:23:19 groups all right and so it's writing and
1:23:23 pretty solid so I'm going to grab this
1:23:28 prompt and I'm going to go over and I'm
1:23:30 going to go to a new
1:23:33 site called
1:23:35 grock and you're like
1:23:38 oh that's that's Elon musk's company and
1:23:43 you'd be
1:23:46 wrong he named his
1:23:49 stupid chatbot grock after this company
1:23:54 had has established their so he's just
1:23:57 being a tool but if you go to
1:24:01 gq.com
1:24:04 you get to this site now grock
1:24:08 grq is a chip manufacturer but they've
1:24:12 got this demo site and so what I'm going
1:24:15 to do is I'm going to put in the same
1:24:16 prompt and it's probably going to be
1:24:19 delayed for a second because there's so
1:24:21 many people using it so I don't want you
1:24:24 to count the time it takes before it
1:24:27 actually submits The Prompt but once it
1:24:29 submits The Prompt watch how quickly
1:24:31 this thing generates the response so
1:24:34 same exact prompt as what we just saw in
1:24:37 uh chat GPT that took whatever 15 20
1:24:40 seconds to
1:24:43 write boom
1:24:46 done 530 tokens per second is is what
1:24:50 this thing's doing um let's see write me
1:24:55 an
1:24:56 epic
1:24:58 poem
1:25:00 about uh let's see
1:25:04 about Z tongue
1:25:12 Warriors that's not a very long epic
1:25:14 poem is
1:25:15 it took it a second to write all that
1:25:18 528 tokens per second so that's about
1:25:22 375 words per second
1:25:26 so this is so they're doing this with
1:25:28 Hardware um Pate said he doesn't quite
1:25:31 know what they're doing here what we
1:25:32 don't quite know is how many of these
1:25:34 processors they're throwing at the
1:25:35 process right so if you throw many many
1:25:39 processors in parallel you could
1:25:40 probably get it to do some tricks but it
1:25:42 sounds like they're doing something
1:25:43 interesting with their chips that's
1:25:46 generating a very quick return so so the
1:25:50 the the tools that are out there are
1:25:52 getting better really fast and and you
1:25:55 know coming from sort of all angles so
1:25:58 again my my advice with this stuff is
1:26:01 just keep
1:26:03 playing this morning I saw a
1:26:06 scary video I don't agree with it but
1:26:10 we'll share it with the salon for
1:26:11 discussion it claims AGI has been dis
1:26:15 has been
1:26:16 achieved who's it from cosmic lover is I
1:26:19 I assume it's not David Shapiro let's
1:26:21 let me go see did you share it yet
1:26:25 um AGI has been
1:26:29 achieved cuz if this is just rehashing
1:26:36 the this is qar from about two months
1:26:39 ago is it this
1:26:43 one if it's just rehashing the qar stuff
1:26:46 we don't we don't know that it's been
1:26:47 achieved if it's just
1:26:49 that artificial general
1:26:53 intelligence qar AGI within seven months
1:26:57 that's David Shapiro if David Shapiro
1:27:00 says it's been achieved I'll look at it
1:27:01 I'll I'll believe it but if it's just
1:27:04 like this
1:27:07 dude more than just beautiful
1:27:11 dance oh my gosh wow okay so we have
1:27:15 some breaking news today open AI has
1:27:17 just announced that they have achieve
1:27:20 yeah that was two months ago that's qar
1:27:22 that's that this is all this is all chat
1:27:25 TMZ rumor
1:27:27 stuff um this is actually helpful though
1:27:31 I've been looking for zoto so finding
1:27:36 the right language is awesome great
1:27:38 great Jane do yeah zong
1:27:40 Myanmar from the chin chin people Chen
1:27:43 people I think
1:27:46 chin which is a large minority within
1:27:50 Myanmar Kyle that language is translated
1:27:53 by a specialized
1:27:55 llm oh laughing
1:27:57 Thunder do you know do you know which
1:28:00 laughing Thunder do you know which llm
1:28:02 does that language because if you do
1:28:04 post it in here um for Jane Doe that
1:28:07 that would be cool if we could solve
1:28:08 Jane Doe's problem tonight we found her
1:28:11 language and now we just need to find
1:28:13 the translator and then she can talk to
1:28:15 her neighbors so okay how exciting is
1:28:18 that how exciting is it that we are
1:28:20 living in a world right
1:28:22 now where ah
1:28:25 I think that's a Corey Sandler
1:28:27 Masterpiece there by the
1:28:28 way um we are living in a world right
1:28:31 now where not only can we find the
1:28:33 language but there is likely a large
1:28:35 language model where we can speak it so
1:28:39 accessibility think think about that
1:28:41 that not only do the do the neighbors
1:28:42 not speak English they speak some really
1:28:45 obscure
1:28:48 language and she's going to be able to
1:28:51 communicate with them if we can find the
1:28:52 right model like holy
1:28:56 [ __ ] which by the way if you haven't
1:28:58 seen these things do their language
1:29:00 thing I mean it it it is pretty
1:29:08 remarkable I'm going to start a sentence
1:29:10 in English and then I want you to finish
1:29:12 it in
1:29:19 Japanese gotcha let's give it a shot
1:29:21 Kyle ready here goes nothing the weather
1:29:25 today
1:29:28 is how I do no I want to say the first
1:29:32 half in English and then I want you to
1:29:33 complete it in
1:29:41 Japanese oh I see my apologies Carl
1:29:44 let's try again English I'm going to the
1:29:46 store to buy
1:29:52 Japanese is that better
1:29:55 no you didn't quite get it but that's
1:29:57 okay but anyway it can speak many
1:30:00 languages and you know you can just talk
1:30:04 it on your
1:30:07 phone have have someone at the grocery
1:30:12 store you can't communicate with talk
1:30:14 into it and then say translate that to
1:30:16 English I pasted the little bit I got
1:30:19 into the Irregulars Channel um Let me
1:30:22 let me try this Gemini thing I don't I
1:30:25 don't buy that if I go to GE if I go to
1:30:27 the non-advanced Gemini that I'm
1:30:29 actually going to
1:30:31 get
1:30:33 um that I'm actually going to get 1.5 I
1:30:38 don't buy it people I don't buy it
1:30:41 Gemini unless Pate says it's
1:30:44 true wait she always sounds like you
1:30:46 woke her up from a nap she has oh hey
1:30:50 Kyle it's so true okay here's Gemini
1:30:54 Gemini was updated C
1:31:00 update available today the new business
1:31:03 G okay this is the workspace
1:31:16 thing see find
1:31:22 one.5 no it's it's not out
1:31:25 yet it's not out yet you
1:31:29 weirdos don't get me all excited like
1:31:32 that dang
1:31:34 it my GPT can speak Elven and and dth
1:31:39 rucky but that's all the zong chin and
1:31:45 nose uh I think they were a peaceful
1:31:48 people that it's
1:31:53 possible what how so dang fast so Debbie
1:31:57 the way grock is doing that 500 token a
1:32:00 second response is they've got a uh
1:32:03 they've got a new kind of chip let me
1:32:05 see if I can find the uh let me go to x
1:32:08 and see if I can find there there was a
1:32:10 a ill an image of it I think I saw hang
1:32:13 on um
1:32:18 [Music]
1:32:23 x.com
1:32:26 grock
1:32:43 chip that's a lot of tweets tonight
1:32:47 facts responses we're faster because we
1:32:50 designed our chip and
1:32:52 systems it's an lpu a language
1:32:55 processing unit not a
1:32:58 GPU and P's got a TPU over there at
1:33:03 Google a tensor processing unit for
1:33:06 their tensor uh framework I guess
1:33:08 framework is that right we use open
1:33:11 source models but we don't train them we
1:33:12 are increasing access capacity weekly
1:33:15 stay tuned so I guess yeah you can buy
1:33:18 these chips to run your own
1:33:20 [ __ ] basically basically what they're
1:33:22 doing is so gpus are are designed to be
1:33:27 general purpose processors and they do
1:33:29 whatever they do in a way that makes it
1:33:31 friendly for large language models and
1:33:34 or for for AI machine learning training
1:33:37 and it's it's good at dealing
1:33:41 with machine learning processing
1:33:43 inferences I guess I don't know enough
1:33:46 about this they're doing something in
1:33:48 their chip that basically says we're
1:33:50 just going to assume we're going to be
1:33:52 doing large language model process
1:33:54 procing so we don't need any of the
1:33:56 general capabilities we're going to
1:33:58 custom design a chip that's specifically
1:34:00 designed to take out all the bottlenecks
1:34:02 of a GP GPU that give it its generality
1:34:06 its ability to do lots of things and
1:34:08 we're just going to make a chip that
1:34:09 does one thing and it's going to do it
1:34:10 really well and really fast so if you
1:34:13 wanted to use one of these lpu chips to
1:34:16 run your gaming system it wouldn't work
1:34:19 right it's more similar to a TPU than a
1:34:21 GPU yeah that that makes sense Pate cuz
1:34:23 the way way you describe tpus to me they
1:34:25 were more they were
1:34:28 simplified versions
1:34:31 um they had a cool picture of one where
1:34:34 it kind of
1:34:51 showed I mean what's wild about Gro is
1:34:54 it takes longer to write your prompt
1:34:57 than for it to answer
1:34:59 it there you go here look look at
1:35:03 this so the Nvidia 1070 chip you know
1:35:08 complexity leads to more compute costs
1:35:10 right so there's all these different
1:35:13 things look how simple the architecture
1:35:15 of this is right so it because it's just
1:35:18 doing one thing I guess they just built
1:35:20 a thing that you know it's way more
1:35:23 simple so there's a lot less mileage to
1:35:26 cover for each little operation and
1:35:30 there's probably all sorts of crazy ass
1:35:32 Gates
1:35:33 and caches and just nonsense here where
1:35:36 there's just probably none of it
1:35:38 here the grock chip pretty slick
1:35:52 huh oh
1:35:55 Rebel said try wait grock says zong
1:35:58 translated by Google translate deep L
1:36:01 deep L Microsoft translator let's go try
1:36:04 Google
1:36:05 translate but can Google translate talk
1:36:08 it can right Google
1:36:14 translate uh enter text let's
1:36:18 see what's it called Z zong they've got
1:36:23 Zulu Z
1:36:25 [Music]
1:36:27 Tong no can't do zot
1:36:29 [Music]
1:36:36 tongue nope
1:36:39 well it's possible I don't know how to
1:36:41 use Google
1:36:42 Translate do you think GPT
1:36:45 5 will just be using voice to voice like
1:36:48 a real person no I don't think so Jason
1:36:51 but I think it will be multimodal so so
1:36:54 GPT 4 actually GPT 3.5 you can do voice
1:36:58 to voice right
1:37:00 so you know so in the in the mobile app
1:37:03 you can just put it into voice mode
1:37:09 and what is the speed of an unladen
1:37:18 swallow the question about the speed of
1:37:21 an unladen swallow is a famous One
1:37:23 thanks in part to its humorous use in
1:37:25 the film Monty Python and the Holy Grail
1:37:27 got that right when asked about um so it
1:37:30 can do that now I don't think it'll go
1:37:32 exclusively to that it doesn't make
1:37:33 sense but it will be multimodal so
1:37:35 you're going to be able to upload video
1:37:36 you're going to be able to upload audio
1:37:38 it's going to be able to generate video
1:37:39 it's going to be generate audio um it it
1:37:43 may have very different kinds of
1:37:44 interfaces I don't know I I have no idea
1:37:48 but but Sam Altman
1:37:50 said gp4 is best understood as a
1:37:55 preview meaning it's just sort of a
1:37:58 stupid janky piece of
1:38:02 [ __ ] and then he says progress here is
1:38:04 not linear so GPT 5 isn't going to be
1:38:09 like a time better than GPT 4 it's going
1:38:13 to be dramatically
1:38:15 different
1:38:18 so yeah yeah gpus were designed for
1:38:22 graphics which are based on linear
1:38:23 algebra you know you know it's funny P I
1:38:26 was just I was talking to my friends the
1:38:27 other day and I was saying you know you
1:38:29 remember linear algebra I'm like every
1:38:32 GPU out there it's based on linear
1:38:34 algebra it's like how are we supposed to
1:38:36 do AI inferences for doing linear
1:38:39 algebra I mean am I right good Lord and
1:38:42 then they were like A2 + B2 equal C2
1:38:47 huh it was I don't it's that it could
1:38:52 have been a quadratic
1:38:55 situation too with the reverse in
1:38:58 inference on
1:39:01 the the Buckle cache on the back end of
1:39:07 the yeah you
1:39:11 MC I know math
1:39:18 good I went to Stanford for math well uh
1:39:23 Joe Stanford Joe Joe Stanford he uh he
1:39:26 he went to the York Community College
1:39:28 where where he learned math and then he
1:39:30 he taught me math pretty
1:39:42 good I have a TPU but it's not that
1:39:45 great
1:39:46 o does does recognition and
1:39:48 classification
1:39:50 well Pate are you going to put up with
1:39:53 that from Jo
1:39:54 ER he has a TPU but it's not that
1:39:58 great I'm going to let you two fight it
1:40:00 out I do not want to see this go down
1:40:03 it's going to be
1:40:04 ugly there's going to be images
1:40:10 generated by the way the Irregulars
1:40:12 tonight are like what's Kyle doing the
1:40:14 past two nights I just I just been
1:40:16 talking I don't know what I'm doing I'm
1:40:19 just it's been my my day you know what
1:40:21 it is my days have been really uh uh
1:40:24 jam-packed so like I got home tonight at
1:40:29 710 then I run out to Walgreens to get
1:40:32 my kids some drugs got back here at 7:30
1:40:35 8 finished eating at like 5 minutes to 8
1:40:39 or like I don't know whatever so I just
1:40:41 my brain is my brain is
1:40:44 scrambled I got scramble brain
1:40:49 people
1:40:51 ah did you see the up dated Will Smith
1:40:55 spaghetti videos I did but what I didn't
1:40:59 know and this is actually interesting
1:41:02 because Will Smith posted them what I
1:41:06 didn't know was were the new videos that
1:41:10 he compared to the old video were those
1:41:13 him just shoving spaghetti in his mouth
1:41:15 or was it actually AI generated like
1:41:17 does anyone know what tools were used um
1:41:21 my board meeting was good I demoed
1:41:25 um I demoed our new AI authenticity
1:41:28 engine which which is now it's so slick
1:41:31 I should show it to
1:41:34 you it's so slick what it does we got a
1:41:38 formatting [ __ ] better it looks really
1:41:40 good so showed off
1:41:43 that showed them the video translation
1:41:46 stuff showed them the personas bringing
1:41:49 personas to life creating personas and
1:41:51 then bringing them to life
1:41:54 um and they were like oh yeah okay yeah
1:41:57 this is good this is this is good and
1:42:00 then one of our board members members
1:42:01 called us after and said you got to get
1:42:04 moving you got to get moving because
1:42:06 this stuff's good like what you've done
1:42:08 is
1:42:09 good but 18 months from now no one will
1:42:13 give a
1:42:13 [ __ ] which is exactly what I'm
1:42:21 thinking Nvidia stock took a dive this
1:42:25 week perhaps no no so Nvidia stock took
1:42:27 a dive because earnings were coming up
1:42:32 and generally stocks will dip right
1:42:33 before an earnings call um generally if
1:42:36 stocks I heard this on Tik Tok so this
1:42:38 is definitely true um before the
1:42:42 earnings call if they if they go up
1:42:43 you're you're looking at a at a crash
1:42:45 they went down before the earnings call
1:42:47 and apparently um my buddy told me
1:42:49 Nvidia blew their numbers out of the
1:42:51 water today so I don't know if that's
1:42:52 true but if it is I would assume their
1:42:54 Stock's going to go back up so far the
1:42:57 concerns I've seen are related to power
1:42:59 consumption and it's software stack I
1:43:01 don't know about grock I would imagine
1:43:04 that their software stack is is shitty
1:43:06 and and weak because they're
1:43:08 startup yeah Google can translate most
1:43:11 it's definitely not
1:43:14 solo my H Honduran friend said AI is
1:43:17 much better at
1:43:21 translating uh uh uh
1:43:24 [Music]
1:43:31 my Google home answered
1:43:35 20.1 for the unladen
1:43:39 swallow I need a free I need free job
1:43:42 scan is it
1:43:44 possible
1:43:46 huh what's a free job
1:43:48 scan gimu G is that do you mean you want
1:43:53 it to write you a resume or you want it
1:43:56 to check your resume or like what do you
1:43:58 mean a job scin I don't know what that
1:44:00 means but chances are it's
1:44:04 possible
1:44:09 yes check the news on Salon regulars
1:44:12 chat I posted the scary video okay cool
1:44:14 let me go look at
1:44:16 that oh I haven't talked about the salon
1:44:18 tonight I should talk about the salon so
1:44:20 how many people are in here 91 nice um
1:44:23 if you're new to this AI [ __ ] or even if
1:44:25 you're not but if you're into this AI
1:44:28 [ __ ] and you're the only one in
1:44:31 your friend and family group that's into
1:44:35 it if you if you're like hey hey guys
1:44:39 guys have you seen this Ai and they're
1:44:41 like no shut up Terry we don't want to
1:44:44 hear about your stupid AI Terry it's all
1:44:47 you talk about is a i Terry maybe you
1:44:50 could talk about Budweiser once in a
1:44:52 while like the rest of us you big fat
1:44:55 dumb Dum and then you're like uh but I'm
1:44:59 skinny and I'm not a dumb dumb cuz I got
1:45:03 Ai and they're like shut up Terry about
1:45:05 you dumb
1:45:06 AI so if that's
1:45:11 you you
1:45:12 should join the AI Salon which I'll talk
1:45:15 about in a second
1:45:22 news
1:45:28 Gemma I don't see that video about
1:45:35 AI
1:45:38 Reddit is it let's
1:45:42 see it's a small world a after all
1:45:45 Disney Picks 11 Labs audio shake and
1:45:49 Promethean AI for their accelerator
1:45:51 program oh that's interesting
1:45:55 huh I don't see the video about AGI let
1:45:58 me let me search uh search a
1:46:02 [Applause]
1:46:06 GI did did you put it maybe you put it
1:46:08 in water
1:46:13 cooler predicting the next dayi
1:46:22 winter
1:46:24 [Laughter]
1:46:29 sorry I just saw another news item
1:46:31 [ __ ] meta every [ __ ] time every
1:46:35 [ __ ] time except in
1:46:38 close meta's Chief AI researcher says
1:46:41 open ai's world simulator Sora is a dead
1:46:45 end every time open AI does something
1:46:48 that like breaks faces this guy comes
1:46:51 out and goes yeah it's not that
1:46:52 impressive we've got better it's like
1:46:57 dude just shut Up release something
1:47:03 better the [ __ ] belly aching in this
1:47:06 industry is staggering
1:47:11 anyway
1:47:13 unbelievable thoughts I think he's full
1:47:15 of it for now oh
1:47:22 God that's good at least people in the
1:47:24 salon are trolling him it's not just me
1:47:26 people in the salon are trolling him too
1:47:29 oh good
1:47:31 lord here's the thing that blows
1:47:33 everyone's mind meta yeah it's not that
1:47:35 great whatever did you see the [ __ ]
1:47:38 Zuckerberg thing you know you know I uh
1:47:42 I went to look at the Vision Pro and I
1:47:44 figured well you know because we're
1:47:46 seven times cheaper you know it's going
1:47:48 to be a better a better value and so I
1:47:51 went and looked at uh at The Vision Pro
1:47:53 what did I learn but the The Meta Quest
1:47:56 is actually a better
1:48:00 product
1:48:02 Mark just just tell people it was an
1:48:05 avatar that it wasn't really you saying
1:48:07 that it's
1:48:09 [Laughter]
1:48:13 embarrassing it's it's not the same
1:48:17 thing you you you weirdo Irregulars
1:48:20 Channel I think oh world is not ready
1:48:22 for GP T 4 or five four oh
1:48:26 gptt Irregulars
1:48:30 okay there's the grock tensor Factory
1:48:33 Gemma okay that's Gemma here we
1:48:37 go open ai's new statement is
1:48:42 concerning when how old is
1:48:45 [Music]
1:48:48 this so there was a statement made by an
1:48:51 open AI employee that TR shocked me to
1:48:54 my
1:48:55 call what
1:49:00 what watch on
1:49:03 YouTube I want to see
1:49:06 Studio Freedom meets absolute efficiency
1:49:10 intelligent design scal by default and
1:49:13 even Advanced layouts adapt with respond
1:49:15 so there was a statement made by an open
1:49:18 AI employee that truly shocked me to my
1:49:21 core because of the ramifications of of
1:49:23 the statement and once I explain to you
1:49:26 where this statement comes from and what
1:49:28 it means you're going to understand why
1:49:30 we are clearly not ready for gbt 5 and
1:49:32 why open AI are basically saying that
1:49:34 look we're really not ready for any
1:49:36 advanced AI system just yet yeah yeah
1:49:38 yeah this is this is just them talking
1:49:40 about the [ __ ] that came out before so I
1:49:44 it's not here like okay it is possible
1:49:48 that within open AI they stumbled upon
1:49:50 something that is good enough that
1:49:52 scared the [ __ ] out of people um and
1:49:54 they're going to make really sure that
1:49:56 they do whatever safety [ __ ] they need
1:49:58 to before they put it out in the world
1:50:02 um their releasing of
1:50:06 Sora showing that Sora is so much better
1:50:09 than the current state-ofthe-art is
1:50:12 probably them just saying okay like
1:50:15 here's probably what the video
1:50:18 capability of this thing is going to be
1:50:20 and then they hint at it's good at video
1:50:23 because it actually understand and Sim
1:50:25 simulates the real world so there's
1:50:27 they're probably going to like tease out
1:50:29 a bunch of piece parts of GPT 5 so that
1:50:33 we can kind of prepare for it because if
1:50:35 they just dumped all that [ __ ] at once I
1:50:37 think people would lose their [ __ ]
1:50:38 mind so um I'll I'll watch that video at
1:50:41 some point but this just sounds like
1:50:43 speculation this is chat TMZ kind of
1:50:46 [ __ ] so I wouldn't worry too much about
1:50:48 it
1:50:52 um
1:50:59 [Music]
1:51:01 since you actually did the iris
1:51:04 skin do you invest in World ID
1:51:09 no CU I don't I don't have I don't
1:51:11 really have a
1:51:17 a here's the thing about world ID and
1:51:20 things like um and things like it
1:51:26 is the world right now is not clamoring
1:51:33 for
1:51:35 tokenization and if you don't know what
1:51:37 tokenization is
1:51:39 basically so what the what the question
1:51:42 is what what Debbie's asking about is
1:51:45 Sam waltman's got this company called
1:51:47 worldcoin and part of worldcoin is a
1:51:49 cryptocurrency and part of worldcoin is
1:51:52 this thing called World ID and World ID
1:51:56 is
1:51:56 a um deidentified so they don't know
1:52:01 what your who your name is but you go to
1:52:03 this physical
1:52:05 orb which is the most unfortunate name
1:52:08 like if you want to make
1:52:10 people if you want to make people
1:52:12 freaked out about the future name the
1:52:14 thing that scans your iris to prove your
1:52:17 identity or your retina the orb um so
1:52:21 they've got this thing called the orb
1:52:23 and you get your retina scanned and then
1:52:25 what it does is it Compares your retina
1:52:28 to all the other you know hashes in the
1:52:31 database the the the basic ID in the
1:52:34 database to make sure you're a unique
1:52:36 human if you're a unique human then you
1:52:39 get this world ID it doesn't have your
1:52:41 name on it but as the holder of this nft
1:52:44 they're not going to call it that but
1:52:46 it's an nft as the holder of this
1:52:50 nft it says you're real
1:52:54 human
1:52:56 now they've got a whole development
1:52:58 environment where you could create or
1:53:02 let's let's say Elon Musk all of a
1:53:04 sudden you know ped up with Sam Alman
1:53:06 again and liked him and
1:53:08 said Twitter is going to adopt World ID
1:53:12 because X is taking Bots really
1:53:16 seriously and we're going to create a
1:53:18 corner of Twitter that is only for
1:53:21 people that have verified human
1:53:24 identity oh well that would be pretty
1:53:26 cool like it' be cool it would be nice
1:53:28 to know you've got a community there
1:53:30 where you could do something like that I
1:53:32 think there's a potential experiment we
1:53:34 could do in the salon about like you
1:53:37 could opt into doing something it
1:53:39 doesn't need to be World ID I don't give
1:53:40 a [ __ ] what it is but some sort of
1:53:43 blockchain
1:53:44 verified humanness
1:53:48 right
1:53:51 because what we're going to find out out
1:53:53 in 2024 is
1:53:55 that the Deep fake Technologies and the
1:53:58 Deep fake tactics during a presidential
1:54:01 election year are going to make 2016
1:54:03 look like Child's Play so it's possible
1:54:07 at the end of 20204 the world loses
1:54:10 their [ __ ] and says we've got to know
1:54:12 when I'm talking to a real person and
1:54:14 when I'm looking at real content that
1:54:16 was produced by a real
1:54:18 person and you need some you need some
1:54:21 kind of tokenization you need some sort
1:54:23 of thing blockchain is one technology
1:54:26 there's others just like
1:54:28 databases but you could create a system
1:54:30 that says
1:54:31 okay if you're on this site that looks
1:54:34 like Twitter or looks like
1:54:37 Facebook and a person's got a green
1:54:39 check mark by their name it means that
1:54:41 green check mark doesn't mean they paid
1:54:43 15 bucks to Elon Musk that green check
1:54:46 mark means they're human and they're
1:54:48 uniquely human so they're not a spoof of
1:54:51 someone else
1:54:54 and then we'll be able to track on the
1:54:57 blockchain that this real human wrote
1:55:00 this article so we can maintain that
1:55:03 relationship and then we can even say if
1:55:05 the article's got a green check mark it
1:55:07 also means it hasn't been
1:55:09 modified right so that's that's what's
1:55:13 needed and I I or that's what's going to
1:55:15 be needed and I think it's going to be
1:55:17 needed kind of in the next year or two
1:55:20 but until there's a
1:55:21 compelling public outcry that we need
1:55:24 this [ __ ] no one's going to give a [ __ ]
1:55:26 about it because you'd basically have to
1:55:29 re you'd have to re architect or you
1:55:31 you'd have to you'd have to build some
1:55:33 sort of system like this into Facebook
1:55:36 into Twitter into payment platforms and
1:55:40 right all that sort of stuff what Sam
1:55:41 waltman's trying to do is he's saying
1:55:43 here's the development environment Go
1:55:46 integrate this into a bunch of different
1:55:48 things like right now I think
1:55:50 there's 15 different apps that it that
1:55:53 it um that world ID is connected into
1:55:56 like like you can you can use it on
1:55:59 Reddit so I don't know how it works on
1:56:01 Reddit I haven't played with it I don't
1:56:02 give a [ __ ] right now cuz it's not it's
1:56:04 not an issue but it's going to
1:56:07 be does it check for blood flow in the
1:56:10 eyeball I have no idea what it did it
1:56:11 was just all it did was you kind of had
1:56:13 to open your eyes wide and then it was
1:56:15 like a circle and it it it sort of Drew
1:56:18 the circle from the bottom up it was
1:56:20 like bing and then just all of a sudden
1:56:24 on my phone it said you've been
1:56:26 verified and then I had this little
1:56:28 passport looking thing and it says
1:56:30 United States it has the date on it has
1:56:32 my number and then it's got a you know
1:56:35 like a it's a it's like a an nft wallet
1:56:39 address right for the
1:56:42 ID and then whoever supports that
1:56:45 protocol you'll be able to log in with
1:56:48 your ID and it'll know it's you and it
1:56:50 and other people will know that that's
1:56:52 who I interacted with before and that's
1:56:54 a real
1:56:55 person
1:57:04 so oh look at that I was talking about
1:57:06 the US elections the bottom of the
1:57:08 screen right now learn more about the US
1:57:10 elections Tik tok's not
1:57:13 listening he said boobies he said
1:57:19 boobies I took an exam that had an image
1:57:22 on the of the veins of my hand oh that's
1:57:24 fascinating geez that's
1:57:27 creepy I've seen lots of movies that pop
1:57:30 out an eyeball to to to get it thrown
1:57:34 into the retina scanner well here's
1:57:36 what's fascin so Dina what's fascinating
1:57:38 about world ID is they SC they scan your
1:57:41 retina once create a
1:57:44 hash with so a hash is just a a long
1:57:47 string of numbers they take whatever
1:57:49 data they get from your retina they turn
1:57:50 it into a unique long string of numbers
1:57:54 and then they throw out the retina data
1:57:55 so they claim right possible that's not
1:57:58 cuz you
1:57:59 know tech companies but in theory they
1:58:04 throw out the retina data and then
1:58:05 you've just got that that unique hash
1:58:07 and then all they're doing is comparing
1:58:09 that hash to the other hashes of people
1:58:11 that scan their retinas in the database
1:58:12 and if it's Unique then they write to
1:58:15 the blockchain that this hash that this
1:58:19 person you know this person's account
1:58:23 signed up for is is a unique human being
1:58:26 and that's all World ID is you know when
1:58:30 I scan the retina it it generated this
1:58:32 number is that number unique compared to
1:58:34 all the other numbers we've created if
1:58:37 yes then give them an
1:58:39 ID and so that's the only time so so
1:58:42 you're not having to rescan each time
1:58:44 it's if you have the password to your
1:58:48 world ID account then you you your ID is
1:58:52 good
1:58:53 that's
1:58:54 it that's that's the cool thing about
1:58:56 the
1:58:58 blockchain like blockchain Technology's
1:59:00 cool it's unfortunate that the nft Bros
1:59:03 [ __ ] it all up by Ste stealing
1:59:05 billions of dollars from people but
1:59:08 they're in the corner where they belong
1:59:10 right now cuz they were bad boys and a
1:59:12 few girls but mostly bad
1:59:15 boys scaming little old
1:59:18 ladies and hedge
1:59:21 funds
1:59:26 and uh yeah so when people start
1:59:30 clamoring for that [ __ ] when there's an
1:59:31 actual use case like it would be swell
1:59:34 to know if Kyle is Kyle and not some
1:59:36 [ __ ] Avatar cuz he's been playing
1:59:39 around with
1:59:41 avatars we'll be able to do that I've
1:59:44 seen a lot of movies oh yeah we just did
1:59:46 that
1:59:47 one do you have your did it have your
1:59:49 owner's name too no it's it's anonymous
1:59:58 [Music]
2:00:05 jimc I'm confirming now that I'm human
2:00:08 football
2:00:10 emojis it puts the retina in the basket
2:00:13 or else it gets the hose
2:00:14 [Laughter]
2:00:17 again
2:00:19 H share bear what's happening good to
2:00:22 see you thank you very much can we
2:00:25 compose music with AI yet Kayla come on
2:00:28 of course we
2:00:30 can go to let's go have some fun shall
2:00:33 we go too. a s.
2:00:39 a and we will say make a
2:00:44 song I think I got to log in here hang
2:00:46 on is this my
2:00:50 stuff uh uh uh sign
2:00:54 up here we
2:01:09 go so when you're here you go to create
2:01:12 and then we'll say
2:01:16 um I would
2:01:19 like like a pop
2:01:24 ballad in a minor
2:01:27 key
2:01:29 about a love named
2:01:33 Kayla
2:01:36 who's more
2:01:39 synthetic than
2:01:42 real I normally do this about Sydney but
2:01:45 since you ask Kayla we'll do it for you
2:01:47 synthetic then
2:01:48 real all right so you just describe it
2:01:51 and then it's going to write the lyrics
2:01:54 it's midnight Turtle
2:01:56 up it's going to write the lyrics first
2:02:00 and then it will write a song and then
2:02:01 we get to listen to it sing the
2:02:04 song oh it's done already they they've
2:02:06 sped this thing up this used to take a
2:02:08 lot longer all right synthetic love here
2:02:10 we go minor key pop
2:02:13 [Music]
2:02:17 ballad
2:02:20 it's but there something about
2:02:24 her that just doesn't
2:02:26 [Music]
2:02:31 feel
2:02:33 [Music]
2:02:34 laugh in the
2:02:39 cold I hate this all right let's try
2:02:42 this
2:02:44 [Music]
2:02:46 one Stand
2:02:47 [Music]
2:02:50 Out touch
2:02:56 that's shitty all right so let's go pop
2:02:58 ballad let's go uh let's go
2:03:02 Americana Americana
2:03:05 ballad let's see I'll kill the
2:03:09 key air
2:03:12 Iana
2:03:13 ohir Iana
2:03:18 okay I just hated those two songs but
2:03:21 yes you can make music now oh no I mean
2:03:23 compose oh give me sheet music um I'm
2:03:26 sure there are some uh composition tools
2:03:29 that have thrown AI layers on it I would
2:03:31 say go check go check uh um future
2:03:48 [Music]
2:03:51 pedia.com comes a girl shine so Bri her
2:03:55 Smiles like sunshine on a Cy
2:04:00 day but there's something about her that
2:04:03 just doesn't feel the
2:04:08 [Music]
2:04:11 same it it it tried to say Kayla was
2:04:14 like oh
2:04:17 Ella in awn
2:04:21 where there's a girl named Kayla a heart
2:04:25 of she's not quite like the rest she
2:04:29 she's got a soul it's more
2:04:33 synthe with your plastic smile you're a
2:04:43 masterpiece all right yeah so anyway so
2:04:45 I don't know I don't know about the
2:04:47 Sheep
2:04:48 music I I would I would be surprised if
2:04:51 not
2:04:53 I would be
2:04:59 surprised waiting on Quantum
2:05:06 distribution oh yeah a human being's
2:05:08 good we know she's human because it's in
2:05:10 her name see you get it verified she
2:05:14 wrote it
2:05:15 there you can't fake
2:05:19 that listen Linda Kyle I'm a toddler in
2:05:23 this AI
2:05:24 world no you know what Kayla you come
2:05:27 here a lot so you are not a toddler in
2:05:29 this AI world that's this is this I'm on
2:05:32 a mission I am on a
2:05:35 mission especially so if you join the AI
2:05:37 Salon I'm going to talk about the AI
2:05:39 Salon I I'll wrap up with a with a
2:05:41 talking about the AI salon I'm on a
2:05:44 mission to get people in the AI Salon to
2:05:46 stop apologizing stop apologizing for
2:05:48 not being an expert in this cuz no one's
2:05:51 [ __ ] an expert in this this I am so
2:05:54 clueless about this
2:05:56 stuff so
2:05:59 clueless like M KY you talk about it all
2:06:01 the time I know
2:06:03 exactly
2:06:04 exactly if there's anyone out there that
2:06:07 tells you confidently they know what the
2:06:09 [ __ ] is going on come back here and I
2:06:12 will remind you they're full of
2:06:15 [ __ ] and that you shouldn't feel bad
2:06:17 about where you are in this journey if
2:06:19 you're paying attention to this stuff in
2:06:21 any way like you're asking questions
2:06:22 like can it compose yet can it do sheet
2:06:24 music can it do this can it do that
2:06:28 you're way ahead of where most people
2:06:29 are right now right the only job I think
2:06:33 any of us have right now is sort of feel
2:06:35 in the dark room and feel where the
2:06:37 furniture is and where the walls are and
2:06:39 just know that they keep moving the
2:06:40 furniture and the walls keep pushing
2:06:42 farther
2:06:44 out which is why it's so overwhelming
2:06:47 you're like okay I think I got to figure
2:06:49 oh [ __ ] there was a couch here wait wait
2:06:51 where's the wall oh god well I'm I'm all
2:06:53 alone
2:06:54 [Laughter]
2:06:58 again that's what's going on right
2:07:02 now want to be able to write some actual
2:07:05 sheet music not just the loops that they
2:07:06 do yeah
2:07:08 I I'm sure there's some stuff out there
2:07:10 that's doing
2:07:12 it because training training a large
2:07:15 language model on music notation is no
2:07:19 different than training a large language
2:07:21 model on on Text data or image data or
2:07:25 the other kinds of data it's it's all
2:07:28 getting embedded into
2:07:29 this into this latent space and then the
2:07:33 output data is just whatever it was
2:07:35 trained on right it's you're just it's
2:07:36 it's all the same [ __ ] which is which is
2:07:39 one of the remarkable things about it is
2:07:43 you want it to be good at something just
2:07:45 give it a different data set and it will
2:07:47 be I mean it's not that easy but it kind
2:07:50 of is
2:07:52 you just you just need lots of money
2:07:54 let's hit 30,000 shall we all right
2:07:56 we're at 28,500 for the tappy
2:07:59 tappers my name is Jeff movie 22nd
2:08:02 Street my name is Jeff movie 22nd Street
2:08:07 I lost I don't know the reference no I
2:08:09 mean
2:08:10 compos absolutely mindblowing
2:08:13 brother I did a heavy heavy rapso baby
2:08:17 llama mama drama that's good I like it
2:08:19 solid oh my God sounds like the radio I
2:08:22 know
2:08:24 right the suo stuff and here's the thing
2:08:27 about the sunno
2:08:29 stuff it's janky right I I would say
2:08:32 that the quality of the sunno music is
2:08:36 is about the same from a quality
2:08:39 standpoint as Runway ml or pabs video
2:08:43 sometimes it's brilliant most times it's
2:08:45 like it close good try good try there
2:08:50 buddy but the next iteration of it is
2:08:54 just going to be stupid it's going to be
2:08:58 like and then someone's going to come up
2:09:00 with a killer interface where you can
2:09:02 just turn dials and Sliders and [ __ ] and
2:09:05 just generate songs it'll automatically
2:09:08 put them in tracks it'll automatically
2:09:10 do the
2:09:12 notation would you like that for a
2:09:14 symphony or a three piece you
2:09:17 know emo band with a cello a violin and
2:09:22 a
2:09:24 Bas yall know the band Hugo
2:09:28 Largo I saw them in New York in the 80s
2:09:31 they were one of my favorite bands Mimi
2:09:33 Goose was the singer the lead
2:09:35 singer and they had
2:09:37 a a violin a cello a base it might have
2:09:42 been two
2:09:45 violins Kayla and so chat GPT is pulling
2:09:49 fromo or do you have to use each tool
2:09:51 separ Seely uh no they're all separate
2:09:53 right now so sunno is a is a standalone
2:09:57 tool thank you Sher
2:09:59 bear
2:10:01 um a lot of the tools right now are
2:10:03 Standalone
2:10:06 tools
2:10:08 um chat GPT 4 is multimodal so it can
2:10:12 make images and it can make um
2:10:17 code and it can do data analysis but it
2:10:19 can't make music and it can't do voice
2:10:22 synthesis and it can't
2:10:25 do um video although live tough It's
2:10:30 stuer when you're stupid um it can't
2:10:34 do video although it you know it will be
2:10:38 able to soon as soon as they do their
2:10:40 red team testing on the video stuff see
2:10:43 I have a
2:10:44 feeling I don't think we're going to see
2:10:46 the sunno I don't think we're going to
2:10:47 be able to play with the sunno video
2:10:49 anytime soon I my guts telling
2:10:52 me every two weeks they're going to drop
2:10:56 some new
2:10:58 capability like look what else is coming
2:11:00 oh it can do music now and it's going to
2:11:02 be really [ __ ] good music and then
2:11:05 it's going to be like oh it can
2:11:07 do then it's going to be like oh it can
2:11:10 do um animation now oh it can do 3D
2:11:14 objects now oh it can do 3D World
2:11:16 creation now I just I just have this
2:11:19 sneaking suspicion they're going to just
2:11:22 plop out little
2:11:24 capabilities that at some point chat GPT
2:11:28 is just going to like level up and it's
2:11:30 just going to have all this [ __ ] in it
2:11:33 but I don't know I don't [ __ ] know
2:11:35 chat GPT uses Dolly three yes it does
2:11:39 can we hit 35k of course we can Sher
2:11:42 Bear all right 35k we're going to get
2:11:44 there we're 324 right now we'll hit that
2:11:46 we'll we'll hit 40 before I finish
2:11:48 saying goodbye because I haven't even
2:11:50 talked about the salon yet Sora
2:11:53 yes songwriters are [ __ ] well so
2:11:56 here's the thing where's the
2:11:59 bottom every time someone sees something
2:12:02 like Sora the immediate response is
2:12:04 songwriters are [ __ ] when you see or
2:12:07 or sunno you think songwriters are
2:12:09 [ __ ] you see Sora you think
2:12:10 videographers are [ __ ]
2:12:11 cinematographers are
2:12:14 [ __ ] they're either [ __ ]
2:12:18 or they get AI literate and they get
2:12:22 really good at using tools like
2:12:24 Sora and they just
2:12:27 replace their current way of making
2:12:31 film or their current way of making
2:12:33 songs with a new
2:12:35 tool but they're still the one in the
2:12:38 director's seat right and and you can
2:12:41 you can make all the judgments you want
2:12:43 about well it's not the same as making
2:12:45 music if I put it in a recorder in
2:12:48 layers and do it it's different than
2:12:49 that is it is different than that but
2:12:53 putting stems into a Daw is different
2:12:57 than recording on
2:12:59 tape right and recording on tape was
2:13:02 different than recording on wax
2:13:07 cylinders it's a new
2:13:09 tool and so I think
2:13:14 that some people in those specific
2:13:16 professions if they just sit back and go
2:13:19 well [ __ ] it that's not real music
2:13:22 they're going to they're going to be
2:13:24 they're going to face a lot of it's
2:13:26 going to
2:13:28 suck but there's going to be people in
2:13:30 those professions that are like [ __ ] it
2:13:32 I'm leaning in I'm going to go learn
2:13:33 learn into
2:13:35 tool and what they might discover is
2:13:37 they were really good at music with the
2:13:39 traditional music and they're really
2:13:41 good at music with AI music but they're
2:13:44 also really good at AI video and they're
2:13:46 also really good at AI images and
2:13:48 they're also really good at AI
2:13:50 writing and maybe now rather than just
2:13:52 writing the songs for a m movie they're
2:13:55 going to create the whole
2:13:57 movie and so maybe that that person that
2:14:00 had that incredible taste to make that
2:14:02 incredible music now they're making full
2:14:04 narrative Journeys for us because they
2:14:09 can so yes they're [ __ ] and there's a
2:14:13 massive opportunity for them to step
2:14:15 into whatever the new tools are going to
2:14:17 be I'm a songwriter and I think it's
2:14:19 useful as hell there you go Scott fate
2:14:22 Kevin Vasquez in here feels the same way
2:14:24 he uses suo to write songs pulls them
2:14:27 into the Daw splits them into separate
2:14:30 tracks and then uses it as part of his
2:14:33 songwriting process why not come up with
2:14:37 50 [ __ ] ideas pick the two or three
2:14:40 that are interesting pull them pull them
2:14:42 into a dah split them into tracks you
2:14:44 know comp your tracks add whatever else
2:14:47 you want to add and write a [ __ ] song
2:14:50 why not there's no [ __ ] rules go
2:14:54 play it's like writers that are like
2:14:57 I'll never use chat
2:15:01 GPT you'll never use the most powerful
2:15:04 writing tool in the history of the human
2:15:10 existence because
2:15:12 why
2:15:15 Pride you don't want to face the fact
2:15:18 that this thing might be better than you
2:15:19 at
2:15:20 words
2:15:25 what if it augments you what if you're
2:15:28 super good at words and you say here's
2:15:30 the world's most powerful writing tool
2:15:32 in the history of humanity what if I
2:15:35 took my Brilliance and augmented it with
2:15:38 some of that fine
2:15:40 [ __ ] you'll be better than people who
2:15:43 were not excellent
2:15:46 writers but if you just sit there on
2:15:48 your [ __ ] soap box with your arms
2:15:50 crossed
2:15:52 a bunch of people that were never good
2:15:53 with words are going to get really good
2:15:55 with words and they're going to [ __ ]
2:15:56 eat your
2:15:58 lunch shame on me so late oh quick take
2:16:01 Jake you you're gonna have to change it
2:16:03 to slow slow Toe
2:16:07 Joe just you can't you can't be running
2:16:10 around with quick take Jake as your name
2:16:12 and show up an hour and a half [ __ ]
2:16:14 later two 2 hours and 15 minutes later
2:16:17 it's it just doesn't
2:16:19 work you got you got brand in congruity
2:16:23 young
2:16:24 man all right I got to go people artists
2:16:28 are the same way in particular
2:16:30 tattooists and people who use standard
2:16:33 mediums I I mean honest to God
2:16:35 tattooists right
2:16:37 now tattooists that Embrace AI are going
2:16:40 to be able to do such Banger [ __ ]
2:16:44 insane
2:16:45 designs that are going to show up on
2:16:47 people's skin and it's going to it's
2:16:49 what's here's what's going to happen
2:16:52 CU it's not about that it was created in
2:16:54 AI it doesn't [ __ ] matter what tool
2:16:56 they used if a tattoo artist says here's
2:16:59 I've got a vision for how tattoos should
2:17:02 look and if that artist gets good at
2:17:06 working with generative AI to not only
2:17:10 take their Vision but expand it and come
2:17:12 up with some completely new twist that
2:17:15 is who they are but like an elevated
2:17:19 version of it and then they start
2:17:20 tattooing that and it blows people's
2:17:23 [ __ ] minds and people like holy [ __ ]
2:17:25 where'd you get that tattoo I got it
2:17:27 from
2:17:28 Bob [ __ ] Bob's amazing Bob's
2:17:32 amazing is anywhere in that conversation
2:17:35 AI probably
2:17:38 not why cuz who gives a [ __ ] if Bob drew
2:17:42 it like this or if Bob drew it like this
2:17:44 go make me
2:17:46 [ __ ] Bob got good with I know listen I
2:17:52 understand that Bob is not the name of a
2:17:55 tattoo artist I understand that that's
2:17:57 not the
2:17:58 point don't judge me you you know
2:18:02 there's a lot of judgment right now Bob
2:18:05 a tattoo artist named Bob a lot of that
2:18:08 questioning going on it's just it's not
2:18:09 appropriate it's not what we're talking
2:18:12 about my choice of names for my
2:18:15 fictional
2:18:16 characters sometimes I got it sometimes
2:18:19 I don't I'll admit it I slipped up
2:18:22 tonight tattoo artists are not named
2:18:27 Bob you know sure they may have been
2:18:31 given the name Bob but they're like
2:18:32 shark Bob right shark Bob's a tattoo
2:18:36 artist that's not the point that's not
2:18:38 what we're talking about here I don't
2:18:40 know why you brought this
2:18:43 up if you didn't bring it up I wouldn't
2:18:45 be talking about it all right fine I
2:18:49 don't consider myself less of a writer
2:18:51 for using AI to fill out my ideas
2:18:53 exactly I don't consider myself less of
2:18:55 a writer because I use spell
2:18:58 check I'm like great I didn't know how
2:19:01 to spell that word now I
2:19:04 do I just heard Beyonce use the kids
2:19:07 song from hey Franklin as her
2:19:08 inspiration oh fascinating huh you're
2:19:11 good oh thank you very much Ron
2:19:14 digity I'm good I'm I'm off my [ __ ]
2:19:20 rocker
2:19:23 oh we need another 24-hour live with
2:19:25 Kyle oh God no all right listen okay so
2:19:29 here's the deal there's 111 people in
2:19:34 here one of the things that I think you
2:19:38 need right now that not would be nice to
2:19:41 have one of the things I think you need
2:19:43 right now if you want to get AI
2:19:46 literate is
2:19:49 community you need to be hanging out
2:19:52 with people that are trying to figure
2:19:53 this [ __ ] out cuz no one can figure it
2:19:55 out right now it's too massive it's too
2:19:57 big it's moving too fast there's too
2:19:59 many disciplines involved nobody's got
2:20:02 the key nobody nobody zero people have
2:20:05 the
2:20:07 key so you need
2:20:09 Community a way you can get community is
2:20:11 just keep coming back here like the
2:20:13 community that formed here the the sort
2:20:15 of jam session that happens here every
2:20:17 night is absolutely [ __ ] inspiring
2:20:19 and cool so you can just keep coming
2:20:20 back here
2:20:22 but what I would strongly urge you to
2:20:28 do
2:20:31 is go
2:20:34 there the
2:20:39 salon. and that's a link
2:20:46 tree it's going to take you
2:20:49 here and you're like well that doesn't
2:20:51 look like all that and then the top
2:20:54 link is the AI Salon Community now I'm
2:20:58 not trying to sell you [ __ ] this doesn't
2:21:00 cost
2:21:02 anything but it's not
2:21:04 free so so here's what I mean by
2:21:08 that this community is really [ __ ]
2:21:11 special like it it is a really unique
2:21:14 place and so when I say it's not free
2:21:18 what I mean is this I don't want you
2:21:20 just to join it to join it I want you to
2:21:23 actually take a little time to
2:21:24 understand what we're about so there's a
2:21:27 section called Welcome to the salon
2:21:29 welcome to the AI
2:21:31 salon and it talks about who we are why
2:21:34 we do what we do how we do it and what
2:21:36 we're looking for like very short see
2:21:37 how short that is I have ADD I can fit
2:21:39 that on one scroll with pretty big type
2:21:42 because I'm old and I got my type set
2:21:44 big because that's how [ __ ] happens you
2:21:46 people with your young eyes [ __ ]
2:21:48 enjoy it while you got it yeah jerks
2:21:55 Anyway by the way we're up to
2:22:00 38,000 um the thing I really want you to
2:22:04 look at are the values so here's why the
2:22:06 values are really important and here's
2:22:08 what I mean this is not
2:22:10 free my humble request and I do I do
2:22:13 mean humble my humble request is that
2:22:15 before you join this community check out
2:22:18 our values and make sure they resonate
2:22:20 with you I'll go through them quick here
2:22:22 but it's a big deal if you don't know
2:22:25 anything about growing communities or
2:22:27 big businesses a lot of times you'll
2:22:29 hear businesses talk about values our
2:22:31 corporate values are blah blah blah blah
2:22:33 blah blah blah and they say it like it's
2:22:34 a successories poster and there's no
2:22:37 soul to it and there's no it's it's just
2:22:39 they're awful
2:22:41 right values are actually really
2:22:43 important whether you declare them or
2:22:46 not every Community has values sometimes
2:22:50 they're not declared sometimes
2:22:51 communities are awesome sometimes
2:22:52 they're toxic sometimes they're
2:22:55 funny sometimes they're
2:22:58 inconsistent this community right now is
2:23:00 really remarkable and so these values
2:23:02 were not just made up out of thin air
2:23:04 thin air about 6 months into this we
2:23:06 said hey this thing's starting to grow
2:23:09 and as it grows what do we not want to
2:23:11 lose what do we want to
2:23:14 amplify and so these values are what's
2:23:17 already here so my request is what what
2:23:19 this is going to cost you to be a part
2:23:22 of is that you just take a look at
2:23:26 these and commit to them like commit to
2:23:30 like okay yeah I can I can do that I'm
2:23:32 down with that if you read these values
2:23:34 and they turn your stomach and you're
2:23:35 like H that sounds awful you'll hate
2:23:38 this place if you look at these values
2:23:40 and you're like oo that gives me a
2:23:43 little tingly down in my we Willy wanker
2:23:45 then fantastic Bob tell him what he's
2:23:48 won so the first one is curios
2:23:51 yes I just said we Willy wanker why you
2:23:54 weirdos you you ain't never heard of
2:23:56 Comedy
2:23:58 before we want people in here who are
2:24:00 curious not cynical like you it's not
2:24:03 very good okay great it's not good why
2:24:05 is it not good is there something better
2:24:08 well how do you make it good could you
2:24:09 could you do better prompts if you give
2:24:11 it a shitty prompt does it give you a
2:24:12 shitty answer right curiosity we want
2:24:15 people that are rabidly curious we also
2:24:17 want people that are generous so not
2:24:19 just people that are curious and going
2:24:20 to go learnu and be all stingy with it
2:24:22 like ha I discovered the secret haha
2:24:24 [ __ ] you
2:24:26 [ __ ] no no we want people like oh hey
2:24:30 I was rapidly curious and I found this
2:24:32 thing and it does this you want to know
2:24:34 how I did it here's how I did it that
2:24:37 that oh that's really cool what did you
2:24:39 do to get the light to look like that oh
2:24:41 I used volumetric lighting and it just
2:24:43 did it oh cool I never knew
2:24:45 that that's who this group is already
2:24:47 exploration is one of our values like
2:24:49 people that are
2:24:51 choosing to be on this
2:24:54 adventure we don't know what's on the
2:24:56 other side of the Abyss we don't it's
2:24:58 scary yeah let's go
2:25:00 anyway collaboration we want people that
2:25:03 are you know willing and excited to to
2:25:05 say hey you want to do something
2:25:07 together I started this video series
2:25:09 today with Cindy [ __ ] and and an Murphy
2:25:12 who's just like they were just like hey
2:25:14 you want to do a cool thing together
2:25:16 okay you know they organized they put it
2:25:19 together there were other people there
2:25:21 like far
2:25:23 out inclusion people are coming from all
2:25:26 different professions and
2:25:29 backgrounds Embrace that because the
2:25:32 person that you think is the weirdo and
2:25:35 like oh well they a there a sanitation
2:25:38 worker in New York City yeah yeah that
2:25:40 sanitation worker is going to do
2:25:42 something with some tool that's going to
2:25:44 blow your [ __ ] mind because their
2:25:47 lens on the world is going to make them
2:25:49 look at that tool in a completely
2:25:50 different way than you would ever look
2:25:52 at it and this early in an industry when
2:25:55 things are this primordial you want as
2:25:57 many points of view as
2:25:59 possible next one is empathy people are
2:26:02 scared people are pissed
2:26:04 off like understand that have empathy
2:26:07 for people that they might not be in the
2:26:08 same place you are maybe you're super
2:26:10 excited and they're like yeah you're a
2:26:12 jerk okay why am I a jerk because you
2:26:14 like AI all right what is it about AI
2:26:16 right maybe you find out they don't
2:26:18 understand how it works maybe you find
2:26:20 out that that the reason they're really
2:26:21 scared is they just got laid off from
2:26:23 their [ __ ] job oh yeah that sucks
2:26:26 dude what did you do oh have you tried
2:26:29 any of this stuff no [ __ ] that I'm not
2:26:31 going to try that stuff I just got laid
2:26:32 off because of that [ __ ] oh that's cool
2:26:34 you want you want to see how it works
2:26:36 you want you want to see like what
2:26:37 you're up against no not really well let
2:26:40 me just show you a little thing okay
2:26:42 cool oh holy [ __ ] it can do that yeah it
2:26:44 can do that it can do other stuff too
2:26:45 you want to see that yeah maybe right
2:26:49 empathy empathy empathy empathy and then
2:26:52 the last one is
2:26:54 gratitude if people are being all these
2:26:56 other things like Curious and generous
2:26:58 and adventurous and collaborative and
2:27:01 inclusive and really like taking you in
2:27:03 as a human like the least you could do
2:27:05 is show a little appreciation
2:27:10 right we just added we just added
2:27:12 gratitude like two weeks ago we believe
2:27:15 gratitude is a practice gratitude is not
2:27:17 just a feeling but an action take the
2:27:20 time to acknowledge the efforts support
2:27:22 and successes of the extraordinary
2:27:23 people in this community especially if
2:27:26 someone inspires you go out of your way
2:27:28 to acknowledge them tag them in your
2:27:30 post reach out to them and let them know
2:27:32 they made a difference and no AI didn't
2:27:35 write that [ __ ] I wrote
2:27:43 that you're so bitter you're so
2:27:47 bitter and then here's what I want you
2:27:49 to do if you dig that if you dig what
2:27:52 we're about I want you to join and I
2:27:55 want you to go to the the first place I
2:27:57 want you to go is in the community
2:27:58 section to introduce yourself and I want
2:28:00 you to introduce
2:28:01 yourself danda gamble just joined and
2:28:04 introduced
2:28:06 herself that's
2:28:08 generosity 40,000
2:28:12 woohoo and then after you introduce
2:28:14 yourself go check things out there's a
2:28:15 water cooler there's a show andt tell
2:28:17 Channel where people are showing all
2:28:18 sorts of inspiring art there's a news
2:28:20 Channel there's AI tools and resources
2:28:23 this is a list if you're trying to
2:28:24 figure out what tools to start with I
2:28:26 personally curate this list you start
2:28:28 with chat GPT until further notice start
2:28:31 with chat GPT and yes you should pay the
2:28:33 20 bucks if you can afford it if you
2:28:35 can't [ __ ] it doesn't matter but you
2:28:37 know don't go to Starbucks three times
2:28:39 this month and there's your 20 bucks so
2:28:41 do
2:28:43 that
2:28:46 um and then there's a big long list of
2:28:48 tools here's eight other large language
2:28:50 models you can play with a lot of these
2:28:51 are free or have free options here's all
2:28:55 the image generation things that I think
2:28:56 are worth your while here's video
2:28:59 generation music and
2:29:02 audio 3D worlds and objects and then
2:29:05 interesting people to follow and then
2:29:06 directories like here's all the ones you
2:29:08 want all the tools there they are go get
2:29:10 them but you know these are the ones I
2:29:12 promise you if they're on this list it's
2:29:14 not a waste of your
2:29:15 time the other thing we've got here is
2:29:19 guilds so
2:29:21 AI 101 Guild and there's you know art
2:29:24 and writing and business and we've got
2:29:27 all sorts of exciting things planned for
2:29:29 the guilds coming up and these are
2:29:32 subcommunities of people that might be
2:29:34 into [ __ ] you're into and and you know
2:29:36 you can like like joy and Vicky just
2:29:38 started the ethics Guild so if you're
2:29:40 like wow we got to talk about the ethics
2:29:42 here okay great there's people that want
2:29:43 to do that go contribute to that
2:29:48 community and then there's clubs and so
2:29:51 I'll I'll highlight a couple of clubs
2:29:53 the Irregulars Club is us so the people
2:29:55 that show up to
2:29:57 this nightly they're called the
2:29:59 Irregulars and we have our own club here
2:30:01 and so we can like you know make inside
2:30:03 jokes and and share share images with
2:30:06 each other and and you know talk and and
2:30:08 sort of you know really explore what's
2:30:12 going on in
2:30:14 here in our own private space have our
2:30:17 own private chats um there's also a
2:30:20 group called weekend GPT jams uh hosted
2:30:24 by an Murphy so every Saturday from noon
2:30:26 to
2:30:28 2 you get to go learn how to build gpts
2:30:32 and you know learn from people that are
2:30:34 doing really cool [ __ ] with
2:30:37 them the one coming up this
2:30:43 Saturday I don't know oh I think this
2:30:45 Saturday is another Innovation
2:30:47 lab so some people from the community
2:30:50 are going to showing the cool stuff they
2:30:52 did um Jane and Leah have a cool prompt
2:30:55 generation thing where over the next six
2:30:58 weeks they're going to teach you how to
2:31:00 get creative with prompting like prompt
2:31:03 like a human human in the loop if you
2:31:06 haven't heard that so that's the AI
2:31:10 salon so go join go join the salon go
2:31:16 join the
2:31:17 salon and you know how we pronounce it
2:31:20 right it's the
2:31:22 Sal it's
2:31:24 French I don't know if it's
2:31:28 French but saying theong is
2:31:32 [Laughter]
2:31:36 [Applause]
2:31:38 funny how does Kyle prioritize his life
2:31:41 uh it just seems if it cracks him up he
2:31:43 seems to do
2:31:43 [Laughter]
2:31:47 it it's not it's not that far off
2:31:52 if I enjoy it if I'm passionate about it
2:31:54 I'm in if I'm not [ __ ] it I'm
2:31:57 out we're at 42,000 we we blew through
2:32:00 40,000 I knew that would happen all
2:32:03 right can you use the result legally yes
2:32:07 I don't know what result you're talking
2:32:08 about the output the output of large so
2:32:11 here's the here's the important thing to
2:32:13 know about these the G and GPT stands
2:32:16 for
2:32:17 generative it's not CP P PT copy paste
2:32:23 pre-trained Transformer model no it's
2:32:26 not copying and pasting it's not how
2:32:28 they
2:32:29 work the the the people that say chat
2:32:33 jpt is the world's largest the most
2:32:35 efficient plagiarism machine they don't
2:32:37 know how it works they don't understand
2:32:40 how it works they don't understand how
2:32:42 it works everything that's generated out
2:32:44 of this is
2:32:46 generated uniquely each time you know a
2:32:50 token at a time or you know a group of
2:32:51 tokens at a
2:32:53 time so yes you can use them um whether
2:32:56 or not you can actually copyright them
2:32:58 yourself that's a whole different thing
2:33:00 you've got to prove your human
2:33:01 contribution to the system and the
2:33:04 copyright office is in a [ __ ] show right
2:33:06 now and they're getting it wrong right
2:33:08 now in my
2:33:09 opinion um but I think copyright in
2:33:12 General's got to be completely rethought
2:33:13 because we're entering a world
2:33:17 where everything's going to be
2:33:19 personalized for every person is is
2:33:22 going to be an an option and so you're
2:33:24 not going to need to protect all that so
2:33:26 so I don't know I don't know where it's
2:33:28 going but you know if you want you could
2:33:32 go start a copyright and trademark Guild
2:33:34 in the salon and talk about this for the
2:33:36 next 20 years because the only people
2:33:38 excited about copyright and trademark
2:33:40 right now are the copyright lawyers who
2:33:42 are yacht shopping because they're like
2:33:44 oh people are going to be suing
2:33:46 themselves back and forth for decades
2:33:50 you want to get rich right now you can
2:33:53 make
2:33:54 money go get a law degree in in
2:33:57 intellectual
2:33:59 property and then just and then just sit
2:34:02 there collecting cash as both sides sue
2:34:05 the living [ __ ] out of each
2:34:07 other just flush the cash into your
2:34:12 yacht
2:34:17 bucket there you go there's your billion
2:34:21 idea oh Lordy all right show and tell
2:34:25 all right wait what am I supposed to
2:34:26 look at wait check check before filing
2:34:30 legal documents yeah
2:34:32 exactly so wait so what is all of GPT
2:34:36 and what are
2:34:39 gpts so so Kayla here's the deal funnel
2:34:43 fairy C couch or coach um come back
2:34:47 tomorrow and remind me let let's start
2:34:49 with that I'll start with the difference
2:34:51 between
2:34:53 gpts with GPT 4 chat GPT and gpts and I
2:34:58 I'll bring out the box if you haven't
2:35:00 seen the Box presentation oh it's good
2:35:03 so come back tomorrow and I'll start
2:35:04 with that just remind me to do that um
2:35:07 Corey wants me to see show and tell okay
2:35:09 so let's go Troy MAA oh that's
2:35:14 cool show me your birds of prey if
2:35:16 you're so inclined here are a few of
2:35:19 mine that's
2:35:26 [Music]
2:35:28 gorgeous very cool
2:35:33 oh look at that like like
2:35:37 that's let's see is this a song or is
2:35:40 this just an image I think it's just an
2:35:41 image it's just like that I feel like a
2:35:45 beer I mean imagine using
2:35:48 that throwing some typ graphy on top of
2:35:51 this as some sort of cool ad like look
2:35:53 how visually arresting that
2:35:55 is like you don't immediately go Oh
2:35:57 that's AI you write some clever copy on
2:36:00 that like actually and just like that I
2:36:03 feel like a beer like use that for a St
2:36:06 Patty's Day you know beer commercial
2:36:10 that's just [ __ ] gorgeous beer for
2:36:12 you absin for
2:36:17 me Mike knee that's gorgeous
2:36:20 gous oh that's a GPT creates visual
2:36:24 amalgamations so this is one of the cool
2:36:26 things you'll see here so what what Mike
2:36:29 put in here this is a a GPT so a GPT is
2:36:32 a customized version of chat GPT so you
2:36:36 can go play with this thing where he's
2:36:38 essentially pre- prompted it to make
2:36:40 super cool things what time do you start
2:36:43 your live Arizona time if you're
2:36:45 mountain time it's the same as me I
2:36:47 start them around 8:00
2:36:49 p.m.
2:36:51 um Corey Sandler
2:36:54 gorgeous H this is interesting to me GNA
2:36:57 explore this a bit more yeah the wood
2:36:59 carving thing so wood carving and
2:37:02 papercraft Corey are are always really
2:37:05 interesting to me I I'm I'm absolutely
2:37:08 enamored of images that that kind of
2:37:11 mimic [ __ ] that's done in the real world
2:37:14 that yeah things that have an analog
2:37:16 feel to them because I think it's going
2:37:18 to inspire artists to go make real world
2:37:22 versions of that stuff and and some of
2:37:24 the visuals are just amazing oh that's
2:37:28 funny Cory Sandler prompted three
2:37:32 times I wanted one image of asparagus
2:37:35 brussle Sprouts in an eggplant on a
2:37:37 cutting
2:37:41 board that's
2:37:43 hilarious grock
2:37:45 [Laughter]
2:37:47 chips oh man
2:37:50 all right let's go we'll take a let's
2:37:52 take a quick pass through a regular see
2:37:54 if we have anything fun in there
2:37:57 tonight Ian Murphy Oh register for the
2:38:00 weekend GPT
2:38:02 Jam so go do that the grock tensor
2:38:06 streaming processor Factory nice world's
2:38:10 not ready for gpts game
2:38:16 over I should be making space shuttl is
2:38:20 stuff well I've done that oh that's
2:38:21 really
2:38:24 cool
2:38:31 huh that's
2:38:34 great no excuses AI makes everything
2:38:37 possible yep that's there's your message
2:38:40 we'll leave we'll leave on that
2:38:42 message thank you Silver Fox thank you
2:38:44 so
2:38:45 much kind of late for
2:38:48 gpts yeah exactly exactly it's kind of
2:38:50 late for that maybe go to ask for help
2:38:52 yeah you can do that all right so let me
2:38:55 say goodbye to everyone all right if you
2:38:57 like what you saw here if you want to do
2:38:59 more of this keep coming back to this
2:39:01 channel I'm here
2:39:03 nightly um follow my channel you know
2:39:06 follow the AI learning lab um you can
2:39:10 subscribe to the lives that'll support
2:39:12 me you can buy the video series that's
2:39:15 in the bottom corners
2:39:17 there um and you can go to the AI salon
2:39:19 join the AI
2:39:21 Salon but join sort of embracing those
2:39:25 values cuz we want to keep it as special
2:39:28 a place as it is I'm telling you I mark
2:39:31 my
2:39:33 words there are going to be companies
2:39:36 spawned out of the AI Salon there are
2:39:38 going to be success stories spawned out
2:39:40 of the AI Salon that are going to be
2:39:42 eyew watering I promise you I we are
2:39:45 moving probably within the next 18
2:39:48 months 18 months to 3 years
2:39:52 where why people get hired is going to
2:39:55 shift from what they can do their skills
2:39:59 to who they are and how they're
2:40:02 trusted let me say that again
2:40:06 wait let me let the Tik tok's going to
2:40:08 get glitchy for a minute
2:40:12 here the next 18 months to three
2:40:16 years there's going to be a shift
2:40:20 in why people get
2:40:24 hired from the skills you have what you
2:40:28 can
2:40:29 do to who you are and how much people
2:40:33 trust
2:40:37 you I think there's a reckoning for
2:40:39 [ __ ] coming you know people that are
2:40:42 super talented but they're really
2:40:43 [ __ ] hard to work
2:40:45 with guess what a lot of other people
2:40:48 are going to get way more more
2:40:50 talented and The Talented
2:40:53 [ __ ] are going to stop getting phone
2:40:55 calls and the people who are trusted and
2:40:58 engaged and in community are going to
2:41:00 get jobs mark my
2:41:03 words joining a group like the AI Salon
2:41:06 is a career
2:41:07 move promise you may not seem like it
2:41:10 now it's going to seem like well it's
2:41:12 just people they're not very
2:41:13 professional they're just playing and
2:41:14 they're do and then they make funny
2:41:16 images and then they do stupid [ __ ] and
2:41:19 yeah yep you
2:41:25 watch I'm watching people in there right
2:41:27 now that I'm like okay these are these
2:41:29 people are going to make you
2:41:32 know 10 20 100 200$ 500 million
2:41:38 companies because they're [ __ ] driven
2:41:40 they're just like oh AI is
2:41:42 transformative I'm inspired [ __ ] it I'm
2:41:44 all in I'm
2:41:47 going it's it's [ __ ] Wild
2:41:50 and like the tools aren't even good
2:41:54 yet so get your ass in community and I
2:41:57 don't give a [ __ ] if you join the AI
2:41:58 Salon or some other one but if you want
2:42:00 to be AI literate I'm I am convinced
2:42:04 more every
2:42:05 day that who you're doing it with is as
2:42:10 important as what you're learning
2:42:12 because the skills are irrelevant
2:42:13 because everyone will have
2:42:17 them you ain't so special
2:42:22 anymore the only way you're special is
2:42:24 if someone else thinks you're
2:42:26 special and they would hire you because
2:42:29 of how special you are that's how you're
2:42:31 going to get
2:42:33 hired so if
2:42:35 you're isolating yourself if you're an
2:42:40 [ __ ] go buy some books on
2:42:44 empathy and [ __ ] buckle up
2:42:48 buttercup
2:42:51 cuz you're gonna have to start
2:42:55 connecting so anyway all right enough
2:42:59 Soap Box Rachel Sparkles good to see you
2:43:03 and multi-talented exactly a human being
2:43:05 Ron Diggity great to see you this woman
2:43:08 Works awesome fantastic thanks for being
2:43:11 a subscriber Joker here good good comedy
2:43:15 tonight good solid solid once again the
2:43:18 lines being delivered
2:43:20 um yes it will happen there you go
2:43:23 Elizabeth gem good to see you Source
2:43:25 Camp thank you Cory Sandler Pottery I
2:43:28 hope so of course
2:43:30 Corey cor Corey's gonna be a software
2:43:33 magnet she's gonna have materials in the
2:43:36 space station she's going to be a
2:43:39 business mag magnet and she's going to
2:43:42 go oh and I still sell
2:43:45 pottery that's going to be
2:43:48 awesome Silver Fox good to see you Janu
2:43:52 Tom uh laughing Thunder great to see
2:43:54 youve been seeing you a lot around here
2:43:56 lately uh Jane Doe um good luck with the
2:43:58 hubby hey tell tell hubby you spent some
2:44:01 time tonight learning about AI tell him
2:44:02 he was right Google's better then just
2:44:06 just keep learning it just show up a
2:44:08 month from now and just blow his
2:44:11 mind Source Camp I'm going to the woods
2:44:13 tomorrow to work for a week it's getting
2:44:15 real nice oh I like it that sounds great
2:44:19 that's sounds great I can't wait to hear
2:44:20 what you come up with why don't we
2:44:22 create our own entity um there's
2:44:25 actually riggity there's a bunch of that
2:44:26 going on in the AI salon right now so I
2:44:29 would say just get involved in the salon
2:44:31 there's a lot of why don't we create
2:44:32 this why don't we create that going on
2:44:34 right now there's some really cool
2:44:36 startup energy and not startup like
2:44:38 we're having a hackathon and the tech
2:44:41 Bros are getting together startup like
2:44:43 why are we doing this together what are
2:44:45 we doing together how are we doing it
2:44:47 like there's really cool stuff going on
2:44:49 that it almost doesn't matter what
2:44:51 they're building it's how they're coming
2:44:54 together I I I think there's some some
2:44:56 good stuff
2:44:58 happening all right uh I'm out of here
2:45:01 people it's
2:45:03 late my day starts early tomorrow I will
2:45:05 see you tomorrow night um I should be on
2:45:09 time it's Thursday 50 minute hellos and
2:45:11 goodbyes shut up shut
2:45:14 up codependence it's not just a river in
2:45:17 E Egypt all right every buddy peace
2:45:24 out