AI Learning Lab

Apr 19, 2024 - From Poetry to Music in Real-Time!

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Video2024-05-052:00:171 views

Description

In this engaging session, Kyle explores the evolving landscape of artificial intelligence, focusing on its integration into various industries and the implications for future work. He emphasizes the importance of understanding how AI tools can enhance creativity and productivity rather than merely serving as efficiency boosters. The conversation delves into the significance of networking and data management in AI development, highlighting the need for innovative approaches to harnessing these technologies effectively. Kyle also reflects on the ethical considerations surrounding AI, particularly in relation to bias and transparency, urging viewers to think critically about their use of AI in everyday tasks. For more insights and discussions on AI's impact on our lives, check out the TikTok channel: [AI Learning Lab](https://tiktok.com/@aiLearningLab). #ArtificialIntelligence #AIIntegration #DataManagement #EthicsInAI #CreativeAI #FutureOfWork #aicommunity Chapters: 00:00:00 AI Salon Gear 00:10:01 AI Tool Alternatives 00:11:07 Virtual Twin 00:17:45 Good Listen vs. Good Read 00:20:14 CPU vs 00:24:41 Grok GPU Demo 00:26:02 Claude 3 Competitor 00:28:31 Gemini Million Tokens 00:37:20 Colorado AI Bill 00:39:57 AI Play Shop 00:43:32 Ideogram Deprecated 00:48:41 Korea Video Beta 00:52:15 Meta AI Watermarking 00:55:57 Mock Interview 00:57:07 AI Trivia Game 01:01:14 Latest AI News 01:09:23 AI Songwriting 01:11:31 Jason Isbell Lyrics 01:14:27 Udo Lyrics 01:19:55 Pi Lyrics 01:22:49 Amber Rain 01:28:48 Verse 1 Lyrics 01:33:23 Is It AI Art? 01:36:32 Profitability of Art 01:41:50 Chorus Lyrics 01:44:58 Intro Music 01:48:47 Verse 2 Lyrics 01:52:17 Outro Lyrics 01:58:19 Friday Night Outro

Chapters

Transcript

0:00 ampy
0:03 [Music]
0:09 [Music]
0:49 is this place I can rest my poor
0:52 [Music]
0:55 head G my thoughts in sweet silence
1:01 [Music]
1:04 is place where the feelings are
1:08 [Music]
1:10 near an over exposure to
1:14 violence this this place I can slowly
1:18 face the only one I truly can
1:23 know these are tears from a long time
1:27 ago got these tears from a long time ago
1:32 I need to cry 30 years or
1:35 so these are tears from a long
1:39 [Music]
1:50 time good evening happy Friday night
1:53 date
1:54 night so Brandon there welcome back I
1:58 know you were traveling I saw a picture
2:00 you uh sporting AI Salon gear in public
2:04 that is highly highly
2:06 [Music]
2:14 encouraged Champ's on tonight
2:22 [Music]
2:40 good evening good evening good evening
2:43 good evening want to see something cool
2:45 of course I want to see something cool
2:47 are we talking meta AI or llama 3 this
2:49 evening we will do that for
2:52 sure we're even going to talk
2:55 about the speed with which this stuff
2:57 happens grock the hardware company
3:00 [Music]
3:02 has
3:03 already put llama 3 up on their um 800
3:09 token a minute demo server which is
3:12 amazing hey Tobias what's happening
3:15 [Music]
3:56 w
3:58 [Music]
4:28 yeah that's a minor he goes nuts a minor
4:31 is his his
4:34 key right
4:37 [Music]
4:46 champy I see he got his jar that's how
4:50 champy makes his money
4:53 [Music]
5:09 um yeah that's uh Amelio's wife did the
5:11 tip jar thank you Emilio's wife champy
5:13 appreciates
5:15 it quarters for chicken sticks
5:26 [Music]
5:31 all right people happy Friday night
5:33 let's get the uh looks like got some
5:35 likes going let's do the double tap see
5:37 if we can get some more people in here
5:39 um share the live if you haven't done
5:41 that and then we can start playing
5:44 talking about stuff luny stick what's
5:47 happening happy day happy
5:55 [Music]
5:59 day nice nice tapy Taps we're up to 1.7
6:04 th000 likes I like it solid we haven't
6:06 even started
6:08 yet just not just rolling just
6:13 rolling all
6:14 right um I had a I had a long day today
6:20 lot going
6:22 on had a good office
6:24 hours where lot of lot
6:29 of a lot
6:33 of people trying to figure out just
6:36 where does this AI [ __ ] fit in their
6:39 lives cuz it's not quite ready for prime
6:42 time there's a lot changing there's now
6:45 a lot of options for all of the
6:47 different tools right like if you want a
6:50 large language model there's a bunch of
6:52 free ones that are pretty much as good
6:54 as chat
6:55 gp4 if you want image generation models
6:58 there's a bunch of good ones there
7:00 um there's a bunch of new open- source
7:04 stuff Source Camp office hours was so
7:07 good today yeah we C we came up with
7:09 some really fun
7:10 ideas really fun ideas
7:16 about we're we're at an interesting
7:19 stage I well and this could just me be
7:21 me projecting on the world I'm at an
7:23 interesting stage I'd love you hear your
7:25 thoughts on how AI might fit into the
7:27 eye industry and network industry
7:31 um well
7:36 so so in a lot of ways you know Network
7:39 and it becomes more critical than ever
7:42 right because and I I also saw a really
7:46 interesting
7:47 thing that was
7:53 um that that data centers
8:00 data centers are not located where the
8:03 energy is they're located close to where
8:06 the people
8:07 are for Speed of distance they can't be
8:11 far away so so or something like that
8:16 but with training large language models
8:19 it's not synchronous you don't need to
8:21 do it in real time but you need massive
8:24 amounts of energy so you could say find
8:28 an area like a big desert that's full of
8:32 sun and just you know Park a bunch of
8:35 you know massive solar arrays and have
8:38 massive data centers that are training
8:39 sets because they don't need to be you
8:42 know proximity to cities I thought that
8:45 was really interesting today so so I
8:47 think I think networking and it and
8:51 security um are going to be really
8:55 critical so I don't think that goes away
8:57 that said I
8:58 think the management of those networks
9:02 is going to shift dramatically I think
9:04 the software development world for how
9:07 you manage those networks is going to
9:08 shift
9:11 dramatically you know where the bulk of
9:13 the work that gets done in those
9:16 networks is going to change dramatically
9:18 so yeah so I don't know so anyway so so
9:22 I think I think networks you know go up
9:24 in importance compute is kind of the
9:26 gold of the future so um you're going to
9:28 have to have your [ __ ] together with
9:30 with your with your data centers
9:35 um where where I've been going
9:42 is most of the tools that that I use
9:46 most of the time which is you know it's
9:48 mostly like image and word tools you
9:51 know I do some animation I do some music
9:54 but that those are not like what I do
9:55 the core of I work
9:58 on there are
10:01 at least three probably more like five
10:04 viable Alternatives of
10:08 tools and so it Almost Doesn't Matter
10:11 What tool you use anymore like it felt
10:13 like it was a bigger deal or you using
10:15 GPT 4 cuz that's the big good one now
10:17 doesn't feel like that's as critical
10:19 anymore and there's a bunch of free
10:20 options now what feels increasingly
10:23 important is like what are you doing
10:26 with them what are you producing with
10:28 them Jim Jim Ross today on on office
10:31 hours was like well I'm mostly producing
10:34 content you know for marketing and I'm
10:38 in a similar place where I'm mostly
10:40 using it for [ __ ] that I did before
10:43 right like I need to make I need to
10:45 respond to an email I need to right
10:47 that's all it's all [ __ ] we did before
10:49 and now we're using AI to do that more
10:51 efficiently which is fine it's
10:55 good but I just have this aching feeling
10:57 there's something more like we're build
10:59 we build these gpts and we put them out
11:02 in the world and no one uses them well
11:04 are we using them how are we using
11:07 them I made a virtual twin of myself in
11:11 this project with a bunch of other
11:14 people we've all got these digital twins
11:16 some of us are using them some
11:20 aren't I helped build the [ __ ] things
11:23 and I'm not really using them why not
11:25 what could we be using them for how are
11:26 they different how is interacting with a
11:28 virtual version of me different than
11:30 interacting with me like I should
11:32 understand how to do that I I should
11:33 understand what can this thing do that I
11:35 wouldn't have thought of before so the
11:37 the office hours talk today was just a
11:39 lot of talk about like how do we find
11:43 work what is the work how can we use
11:46 these tools in ways that are new and
11:48 novel and interesting not just
11:51 efficiency tools from the things we did
11:53 before Silver Fox I think gpts were a
11:56 good stepping stone about prompt writing
11:58 and results thereof yep
12:00 oops sorry I'm late it's okay Daniel we
12:04 forgive
12:07 you it's very cute though listen to
12:10 Ethan mik's new book co-intelligence on
12:12 the plane excellent read okay so here's
12:15 a question Brandon listen I love you
12:19 fantastic this this is a a pep peeve I
12:22 got with audio book
12:25 people you said it was an excellent read
12:27 you read it no was an excellent listen
12:32 wasn't an excellent
12:33 read an excellent read involves your
12:35 eyeballs doesn't it isn't this a thing
12:39 am I the only one that every time
12:42 someone who says I read a book and then
12:44 you're like oh how was it like great I
12:47 listen to it at the gym while I'm doing
12:50 Burpee
12:52 squats that I'm pretty sure that's not
12:56 reading do not talk down to the audio
12:59 people
13:00 there's no audiobook shaming in in here
13:02 is that what you're
13:12 saying Vicky okay listen Vicky Vicki is
13:17 my surrogate brain when my brain forgets
13:19 words Vicky is there for me Vicky has
13:21 come down on the side of huh not
13:25 reading it you did not read that book
13:29 was a good listen you could say it's a
13:31 good
13:32 book but a good read I don't think so
13:35 Brandon I don't think so listen just
13:40 saying are there
13:43 demerits for this kind of infraction on
13:45 this channel I don't think so we we
13:48 still process the same info I listened
13:50 you look I don't read I listen I'm not
13:53 saying reading's better I have ADD I
13:55 can't [ __ ] read I can't get through a
13:57 page without wondering when hell this
14:00 book's going to be over so I I don't
14:02 read but I also do not
14:05 listen do do do visually impaired not
14:08 read Braille oh that's a good call lunar
14:11 stick because it's a different sensory
14:19 thing I guess you are ingesting writing
14:22 I I I don't know I don't know I can't
14:24 listen or read I'm right there with you
14:26 Silver Fox I I am functionally
14:29 illiterate at this point I mean I can
14:31 read fine just fine for short amounts of
14:34 time but whole books just just doesn't
14:38 do it does AI read actually that's
14:42 really
14:44 interesting
14:49 huh I think in a lot of ways AI does
14:51 read right so if you read a
14:54 book your brain is encoding you know you
14:57 take actually this is kind of
14:58 interesting brand
15:01 oh wait but Vicky Vicky countered I
15:03 don't read podcasts okay all right so
15:06 see we've there are valid points on
15:09 there are very good people on both sides
15:11 of this
15:13 argument but but to the do AI do do
15:16 machine does machine learning read if
15:20 you think about how our brain works
15:22 whether you get it through brail your
15:24 ear holes or your eye
15:26 holes there are words in an order
15:30 that go into your brain and your brain
15:32 encodes them embeds them
15:36 right and then those words are sort of
15:39 clustered in little semantic groupings
15:43 in your brain and when someone
15:45 says something about how you use AI your
15:49 brain goes oh I read that thing from
15:51 Ethan mullik about you should treat the
15:53 AI like people and then
15:55 you pull that out of your large language
15:58 model down to your mouth hole and you
16:00 squirt out
16:04 that which is kind of what machine
16:06 learning's doing so yeah I think machine
16:09 learning I think it reads I think it
16:12 reads it might not store it quite the
16:14 way we store it but it's pretty close I
16:16 mean neural networks are designed on how
16:19 our brains are wired right huh
16:23 fascinating welcome back
16:26 Brandon I tokenized his content exactly
16:29 a processes and processes and analyzes
16:32 text it does not
16:34 read but it stores
16:40 it it stores it in an in an interesting
16:44 way
16:50 where H I don't know I don't know the
16:52 meth well enough I don't know what the
16:53 [ __ ] I'm talking
16:55 about it's not even text this number is
16:57 converted
16:59 no I understand that I understand how it
17:01 works like it's it's getting embedded
17:03 but like our brain it's not a word
17:04 that's sitting in our brain it's an
17:06 electrical you know it's an electrical
17:09 um synapse or an
17:11 Impulse that you know when fired in the
17:15 sequence decode into a word right that's
17:19 essentially what a large language model
17:20 is doing right a probability goes into
17:23 the latent space it it grabs a point in
17:27 mathematical space brings it out
17:29 converts it to a word and squirts the
17:31 word out that's essentially how our
17:32 brains work you're just talking the
17:35 information in through different holes
17:37 oh taking the information in through
17:38 different holes yeah I know but my issue
17:41 was can you call it reading if you're
17:45 listening to it I think I think it's a
17:47 good listen rather than a good read
17:50 that's all I was
17:51 saying I I didn't realize the most
17:54 controversial thing I would say on this
17:56 channel was an audio book isn't
18:02 reading there are very strong feelings
18:06 here I think this is for it apparently
18:10 this is the most interesting issue of
18:11 the 2024 election oh do you hang up on
18:15 people Kyle um May maybe I don't um I
18:22 generally don't pick up if I don't know
18:24 their
18:26 number all right MW to receive
18:30 oh maram Webster to receive or take in a
18:33 sense
18:35 of letters symbols especially by sight
18:38 or touch interesting all right Mariam
18:42 Webster is saying the ear
18:44 holes ear holes are not part of the
18:47 reading experience but fingers and eyes
18:49 are I wonder if actually you know it's
18:52 interesting I wonder if that's going to
18:53 change because audio books have gotten
18:54 so popular that might
18:57 change oh man why does stable diffusion
19:00 need a GP
19:02 GPU
19:04 um
19:09 well the way that the way that large
19:11 language models and diffusion models
19:13 work there are very specific kind of
19:16 math where the GPU is more efficient
19:20 than a CPU so so basically if P's in
19:24 here he can spank me later but but think
19:28 of it like this a CPU is a
19:32 CPU that's pretty funny almost as
19:35 controversial as the thumbs up emoji
19:37 that was a good one Papa JJ a CPU is the
19:40 most general of processing units Central
19:44 Processing
19:46 Unit it's designed to do lots of things
19:49 and and so in doing lots of things it
19:52 got it's got lots of different sort of
19:55 processing areas and then buses in
19:57 between those processing areas it's very
19:59 complicated because it's got to do a lot
20:02 of different things right it's got to do
20:04 networking and it's got to do processing
20:06 and it's got to do IO management I
20:08 whatever the [ __ ] it's got to do it's
20:10 got to do [ __ ] A GPU is faster because
20:14 it says hey we're going to limit the
20:16 amount of calculations we do to a
20:19 specific set of calculations that just
20:21 happen to be good for things
20:23 like doing Graphics processing right so
20:26 you're just you're just ramming a bunch
20:27 of data sort of through this
20:30 system um and then they found out oh
20:33 that also happens to be really good for
20:35 doing things like mining Bitcoin where
20:37 you're where you're having to sort of
20:38 run the the same kind of mathematical
20:40 operations over and over and over again
20:42 because it's more specialized it it's
20:44 good at that and then they found out oh
20:46 that happens to be really good for um AI
20:49 training as well right because it's more
20:52 simple and now there's a whole new class
20:54 of chips called tpus and I don't know
20:57 what the ones called that grock does grq
21:00 but they're even more specialized in
21:02 simplified and they go much much faster
21:04 let me let me show you
21:06 something
21:12 so so here's chat GPT 4 and we're going
21:15 to say
21:17 why uh uh let's see let's see make
21:22 a an
21:25 epic poem about
21:30 which
21:34 came first the chicken or the
21:39 egg and so if we pop that in you know
21:45 it's going well now it's going really
21:47 slow but even when it's going decently
21:50 fast it's like going slow enough that we
21:52 can read it this is actually
21:54 reminiscent of like a you know a 96 bod
21:59 modem back in the day when we went from
22:01 2400 bods which was like half this speed
22:04 to 9600 bods or then
22:07 144 you know when you saw text on the
22:10 screen it was kind of this
22:12 slow and so if I'm going to if I grab
22:14 this same
22:16 prompt and now I'm going to hop over to
22:18 this site called grock gq.com
22:31 and where do I choose the model I think
22:35 it's defaulting to
22:38 it so I'm going to put in the
22:41 same make an epic poem about which came
22:43 first the chicken or the egg now watch
22:45 this oh I gotta log in dang
22:49 it
22:51 okay did I sign in oh it's too late it's
22:54 already
22:55 done um here let me start over can I do
22:59 a new one so so we're using the Llama 3
23:02 Model so this is um this
23:05 is meta's new llama 3
23:10 model and in fact we'll do their we'll
23:12 do their uh 70 billion parameter
23:18 model and I want to do a new chat how do
23:21 I do a new
23:23 [Music]
23:25 chat how do I do it
23:29 all right uh scroll to the Top Copy
23:34 content all right let's pop in this
23:36 prompt
23:37 again all right watch it watch for
23:44 it
23:45 done the
23:47 egg the chicken so this is doing for the
23:51 70 billion parameter model 287 tokens a
23:55 second so that's about 200 words per
23:57 second and if I if I do with their
23:59 smaller model the the 8 billion 8
24:03 billion parameter
24:06 model that's doing 800 tokens a second
24:10 right where I don't know how fast chat
24:13 GPT was going but it was probably in the
24:14 neighborhood of 50 to maybe 100 so this
24:17 is eight times as fast how they're doing
24:20 that is the chip that grock makes is
24:23 even more specialized than GPU so you
24:26 got CPU super complicated GPU more
24:29 simplified and specialized and something
24:31 like grock it's only designed to do
24:34 large language model inferences so when
24:37 you do a prompt to chat GPT that's a
24:39 large language model inference and it's
24:41 designed just to do this and so it's
24:43 super fast because of that so that's why
24:47 efficiency or throughput or whatever the
24:50 kind of math it does I don't know
24:53 specifically what to do but in general
24:56 in
24:57 general that's how it works
25:03 it says clear chat in the upper leth
25:05 hand corner oh yeah oh yeah they buried
25:07 it underneath the
25:10 prompt that's the problem with interface
25:13 well especially when you go from sites
25:15 that are like relatively the same but
25:17 they're slightly different stuff's just
25:18 in slightly different positions your
25:20 brain kind of normalizes parts of the
25:22 interface so you literally can't see the
25:25 thing right in front of
25:27 you is it still worth paying for chat
25:35 GPT
25:39 um I don't think it's worth paying
25:44 for multiple
25:49 models I think it's worth
25:52 paying for either chat GPT or something
25:56 like Po where you can get access to a
25:58 bunch of different
26:00 models
26:02 um or something like Claude because
26:05 Claude 3 is very much a um gp4
26:10 competitor the the deal about chat GPT
26:12 though is no one's really no one's
26:14 really caught up with
26:16 gp4 and it's also got it's connected to
26:18 the internet claud's not um it's got
26:23 code interpreter Claude doesn't um meta
26:26 doesn't like there there's a bunch of
26:28 other things that don't have the
26:30 features that chat GPT has so I still
26:33 think chat GPT is the one to pay the 20
26:36 bucks a month
26:38 for I do chat GPT and co-pilot and
26:41 co-pilot's free do you do you pay for
26:43 co-pilot mud because co-pilot Pro you
26:46 can make gpts although I got a I got a
26:49 note from from Jim Ross today saying
26:51 that he tried to convert his GPT using
26:55 um was it Jim Ross no it was someone
26:58 else
27:01 I forget who it was but
27:03 anyway okay so you pay for pay for that
27:05 as well yeah he tried to he tried to
27:07 replicate his GPT in Microsoft co-pilot
27:12 and he said it's just not ready for
27:14 prime
27:15 time so yeah I don't know I don't
27:19 know I think chat gp4 is still still
27:22 worth paying for cuz quite
27:24 frankly it's been a year it's been
27:27 really two years since they've had it
27:29 kind of done and it was two years before
27:32 that they were working on it so gp4 is
27:34 four years
27:35 old and everyone is just now almost
27:40 catching up to it and they're red
27:42 teaming um chat GPT 5 right now so so I
27:47 think it's worth paying for chat GPT
27:49 just to get what's that
27:52 thing oh forever hook did that thank you
27:55 very much forever hook I thought I was
27:57 getting kicked off tikk St I thought it
27:59 was like 3 2 1 you're out of here you're
28:02 banned for
28:08 life paying $20 why why not pay this
28:12 small amount is a no-brainer no I get it
28:15 but the the the challenge is really how
28:18 many of those $20 a month is worth
28:20 paying for it used to be like I paid for
28:24 Claude and for chat GPT because Claude
28:27 had a big context window
28:29 well now I can go to Gemini Pro 1.5
28:31 which has a million token context window
28:34 and I can use it for free so I don't
28:37 have to pay for that anymore like I just
28:38 I just feel like there's enough free
28:40 tools out there that are at a level that
28:43 we can start trimming back on our
28:45 subscriptions I think I need to do a
28:47 subscription
28:50 audit I like meta AI answer formats
28:53 that's interesting I also noticed meta
28:55 seems to be meta's new um
28:59 chat GPT competitor seems to be a little
29:01 more sparse in its answers which is kind
29:03 of nice because you know chat GPT is a
29:07 little a little
29:10 wordy I pay $600 a month for10 models I
29:16 assume you're not kidding next
29:26 Vision have you tried Bard yeah I've
29:28 tried Bard a lot and Bard's now called
29:33 Gemini um
29:35 gemini.com both of them there's the
29:38 non-paid version and the paid version
29:41 one's Pro one's
29:43 Ultra they both
29:46 suck but there's a third one there's a
29:49 third super secret
29:51 Gemini that's at AIS studio. goole.com
29:56 not gemini.com
29:59 AI studio.
30:01 google.com and that's Gemini Pro 1.5 and
30:05 it's really good and it's got a million
30:08 token context
30:10 window and that's crazy that's crazy
30:15 it's also multimodal you can upload 11
30:18 hours of audio and it just listen has
30:21 listened to it or as as Brandon would
30:24 say it has read the entire 11-hour audio
30:28 [Laughter]
30:34 file sorry Brandon I don't think you're
30:37 living this one
30:39 down oh
30:43 man the free tools are not likely to
30:46 remain free I would absolutely agree
30:48 with that
30:50 although I would think
30:53 that meta will probably stay free don't
30:56 you think pate
31:00 because I would because I would assume
31:02 that if because in order to save your
31:04 prompt history in meta you have to log
31:07 in with your with your account and then
31:10 they're also using that llama model
31:13 across
31:15 everything IDR is coming out with 2.0 in
31:18 a few days oh interesting hope they keep
31:20 the free version they're coming out with
31:23 2.0 already they just they just launched
31:25 1.0 they went from like 0.1 to 1.0 like
31:29 a month
31:32 ago are they really coming out with it
31:34 that soon I didn't see that
31:36 today uh uh uh let's go look at the
31:42 X ID o g
31:51 2.0 idag
31:54 2.0 has launched 2.0
31:58 has
32:17 launched I I did not B I did not
32:21 B is it true it's launched id.
32:47 um busy do not disturb I can't I can't
32:51 look at these public sites I'm G to get
32:53 kicked off Tik Tok dang
32:56 it stop Mak taking Nookie pictures you
32:59 pervs oh come on oh I can't okay I'll
33:02 have to make my own thing she get got
33:07 everywhere okay wait hang on 70s muscle
33:11 cars you're like oh god with the [ __ ]
33:14 cars again 70s muscle car in
33:19 abandoned
33:24 Factory let's see do we have anywhere
33:26 that says what vers version this
33:30 is oh I just did I just lose my thing
33:33 God damn
33:38 [Music]
33:41 it 25 of 25 prompts left Discord
33:46 Community maybe let's hop over to the
33:48 Discord announcement
33:58 we're depreciating I okay that was the
34:01 17th
34:11 yesterday I don't see 2.0 in here
34:15 anywhere all right I don't know I don't
34:22 know yeah I don't know what that
34:24 is I already bore my students making
34:27 them listening listen to my my lectures
34:28 maybe I should bore super secret Gemini
34:31 yes I got an email
34:34 really Genie in a Bottle huh let's
34:38 see let's go to the Gmail and see if
34:45 ideogram maybe I got something too I've
34:48 I am woefully behind on my email
34:51 so uh what's it called uh ideogram
35:01 introducing 1.0 on March 2nd introducing
35:07 1.0 I don't have it in
35:12 here I would
35:15 say being conservative I would go check
35:18 that email Genie and make sure it's
35:20 actually from
35:22 id. if it's from like id.com or
35:26 .xyz or or anything other than id. a it
35:30 might it that might be a spoof cuz it's
35:33 it's not in their Discord it's not
35:35 announced in their
35:40 Discord i max out Claude every day I
35:44 have I have three accounts wow next
35:47 Vision that's
35:49 crazy it will make sense if tied into a
35:52 larger ecosystem with tons of money and
35:53 a need for data
35:58 hey Pate were you here when I was
36:00 describing the difference between a CPU
36:02 a GPU a TPU and an lpu I hope I did you
36:05 proud I think I did
36:08 good converted some yo
36:12 GPT wait converted someone oh to GPT
36:16 that thought AI was scary good job jimc
36:19 I I'll tell you it's it's one of the
36:21 things that I am most
36:24 um that sort of gives me the most
36:26 satisfaction with all this stuff is when
36:29 someone is oh no I missed it caught what
36:33 was probably the very end of it oh yeah
36:35 yeah I I I didn't I didn't pretend to do
36:39 any math you'll be happy to know but I
36:41 just described that you know sort of
36:43 increasing specialty and decreasing
36:45 complexity allows them to be faster
36:50 um but yeah but but getting someone
36:52 who's you know kind of actively hostile
36:55 to AI but hasn't tried it to to jump
36:58 over and you know try new things is
37:01 really cool um Let me let me share a
37:03 couple of things with you since we're
37:05 since we're grooving in here go to even
37:08 if you've even if you're a member of the
37:09 AI Salon go to the salon.
37:12 A and it's going to take you to a link
37:14 tree which I've I've updated the link
37:16 tree there's there's two sort of time
37:18 sensitive things here both of these top
37:20 two links the first one's really
37:22 important for the state of Colorado But
37:24 ultimately for the country um so
37:29 um it's a if you click on this it's it's
37:32 a it's a it's a letter that I'm putting
37:34 out uh on behalf of the AI Salon Along
37:39 with Dan Murray on behalf of the Rocky
37:41 Mountain AI interest group which is a
37:45 boulder-based
37:47 company um and it's it's a letter
37:51 basically going to the Colorado Senate
37:54 to say hey this bill that you just
37:58 dropped 10 days ago without oh you
38:01 filled out the letter great thank you
38:02 Cindy
38:04 um it's it's Bill
38:07 24205 which regulates artificial
38:09 intelligence but it just does
38:11 ridiculously stupid stuff like like
38:13 people have to reverse engineer the
38:16 systems they use to determine if there's
38:18 any bias in them and they have to get um
38:21 you know ethics lawyers and and things
38:24 like that to it's just it's ridiculous
38:27 it Al says like anything you produce
38:30 with AI has to be labeled I'm like well
38:33 okay to what degree like if I use
38:36 sentence completion in a Word document
38:38 that's AI does that have to be labeled
38:40 like it's just it's just not a wellth
38:42 thought out bill so this letter you can
38:44 go read it that there's a link to the
38:45 bill itself at the top um and then here
38:48 are some specific you know pieces of the
38:50 legislation that were you know pointing
38:53 out to them where they have their heads
38:55 firmly planted so especially if you live
38:58 in Colorado but even if you don't um go
39:02 to the
39:04 salon. go to this link tree click on the
39:07 first link that will take you to this
39:09 form which has the letter and if you're
39:12 down with it um just you know write you
39:15 know fill in sign sign up uh to support
39:19 this we're we've got a press conference
39:22 on Tuesday um that that I'm going to be
39:26 at this [ __ ] press conference cuz
39:28 again I know how to make Good Life
39:30 Choices I am I am about the least
39:32 political
39:34 person you know other than I just want
39:37 it all to stop and go away um so so I
39:40 lean heavily on on Daisy Thomas lunatick
39:44 and other people that are way smarter
39:46 about this [ __ ] than I do but you know
39:49 anyway so that's going to be happening
39:50 so if I could get your support on that
39:52 that would be great and then the other
39:54 link on the AI Salon is the second link
39:57 is tomorrow starting at 9:00 a.m.
39:59 Pacific I'm doing a Play Shop not a
40:02 workshop play shop with John Leland and
40:08 uh it's going to be a lot of fun so
40:09 that's it's a 4our thing get your hands
40:12 uh dirty with AI and and dig in and it's
40:15 going to be really good so if you go
40:18 there um you can sign up for it
40:20 tomorrow's the day and I'll give you a
40:22 little secret if
40:23 [Music]
40:25 you why is that not working oh there it
40:28 is if you go to the AI Salon
40:32 announcements area and scroll down just
40:37 past me looking at the solar
40:41 eclipse there's a discount code for 70
40:45 bucks off so if you type in Salon fun as
40:49 your discount code you'll get 70 bucks
40:51 off so you technically don't need to go
40:52 to the salon I just gave it to you
40:54 because it's tomorrow so anyway
40:57 pardon me 420 came early ideogram is
41:01 depreciating 0.1 on 422 I got my twos
41:05 mixed up ah okay Genie a bottle that
41:07 makes sense yeah they're depreciating
41:09 the old 0.1 that makes sense okay cool
41:13 great fantastic 420 came
41:18 early that's what I was saying to John
41:20 we were talking today about the the play
41:22 shop we're doing tomorrow and I was like
41:24 oh it's it's a it's on 420 we should
41:27 just show up [ __ ] stoned it's like yo
41:31 you want to do some cool [ __ ] in AI yeah
41:34 man Chin
41:36 [Laughter]
41:41 chong oh
41:43 man did AI write it you got my support
41:46 actually that letter was written by
41:51 humans humans did that
41:54 letter we don't use the word delve once
41:58 once we we we do not mention the
42:01 tapestry of innovation across
42:09 Colorado um no it's just normal
42:13 words it's a little fancier than my
42:16 taste it was funny the initial draft of
42:19 it was was basically like do you want to
42:21 have a conversation with these people or
42:23 you just want to burn this bridge so
42:26 anyway
42:37 I could just Echo to and
42:40 from Salon love no Salon fun s s a l o n
42:45 f u n fun or Salon play both of those
42:49 work Salon fun or Salon play or the
42:53 discount for the um for the play shop
42:59 so if you got nothing to do on a
43:01 Saturday come hang
43:06 out depreciating not depreciating wait
43:09 oh deprecating not depreciating yeah
43:11 right I knew that Matthew Craig
43:14 official it's you know do you know do
43:17 you know how small the letters on Tik
43:19 Tok are and then do you know how small
43:21 they are for someone my age
43:24 [Laughter]
43:27 pinch their
43:29 heads yes
43:32 deprecating ideogram 0.1 is deprecating
43:37 so that they can focus their resources
43:38 on
43:43 [Music]
43:51 1.0
43:53 [Laughter]
43:55 Del I use delve whilst before AI made it
43:59 cool oh
44:04 [Music]
44:07 man all
44:21 right hang on I'm looking at something
44:24 here people hang with me
44:28 what's
44:35 [Music]
44:40 that which had chat bot would you
44:43 recommend the most um chat gp4 still
44:48 chat gp4 by a lot
44:55 [Music]
45:09 everyone missed the significance of what
45:10 you
45:13 said I don't think I said anything
45:17 significant what was I talking about
45:27 um let's go look
45:33 at let's go look at meta is this it is
45:36 this
45:37 the so I don't know if you've seen it
45:40 but the new meta is out meta aai if you
45:44 haven't gone to it
45:46 so yesterday meta launched llama 3 it
45:50 might have been the day
45:53 before
45:55 and they've and they op sourced it like
45:58 they do but they also launched this site
46:01 which is quite close to chat GPT or
46:05 Claude or Pi or Gemini right so they're
46:10 all in the same neighborhood they're all
46:11 kind of copying each other's interface
46:13 you can you can either do um a
46:16 conversation or you could can put it in
46:19 image generation mode and it's it's
46:22 doing like a sdxl turbo where you could
46:26 put in let's see see um
46:31 rocket um taking
46:40 off from a
46:45 cupcake yeah there you go where the
46:51 frosting is the
46:53 smoke or steam or whatever the hell it
46:56 is so got that sort of
47:02 [Music]
47:05 right you can now animate oh yeah and
47:08 you can animate images right so wait so
47:11 if I submit this it's going to now
47:14 generate
47:22 these and then if you click on one of
47:25 them let's see which one we like best
47:27 that one's pretty
47:31 cool yeah I think that one I think the
47:34 original one was cool but I can just
47:35 click animate right here and it'll make
47:38 it into a
47:40 movie and this is
47:43 free that's
47:45 interesting oh look it animated all of
47:48 them that's kind of cool in fact I I
47:50 like that animation a lot
47:53 better that's pretty
47:56 slick huh
47:58 H look at that
48:08 [Music]
48:16 [Music]
48:28 all right what other questions you got
48:31 what questions you got Korea video is
48:33 about to go into beta testing yeah Korea
48:36 Korea looks pretty interesting Korea's
48:38 doing some very good stuff
48:41 lately um see if they're interface I the
48:45 problem with Korea is because it's real
48:47 time it it can do some some nasty
48:52 stuff that is going to get me kicked off
48:54 this place
48:57 here I'll just I'll just keep the uh I'm
49:00 going to keep the camera off to the side
49:02 here so let's
49:11 [Music]
49:16 see that's kind of cool let's see let's
49:20 turn this into a sun
49:46 H yeah I don't know I don't know what's
49:49 going on there all right virtual
49:52 assistant Bots I've been away for a
49:53 while glad to be back what is this AI
49:55 video that we were looking at so what we
49:57 just looking at was the
49:59 new Meta Meta doai so if you go to
50:06 meta and make an image so you can you
50:11 can be in chat mode so you can just say
50:14 let's see um
50:17 write a creative
50:20 brief
50:24 about um
50:31 um car
50:34 wax made of
50:38 uh uh turtles there's actually one
50:41 called Turtle Wax already made of meal
50:46 worms all right so it's going to make a
50:49 creative brief and then I'll go make an
50:55 add my
50:59 mockup with a clever
51:03 headline and it should yeah should make
51:06 us the
51:08 images and then I can just pick one of
51:11 those images or actually I can animate
51:13 one of those images and it'll animate
51:15 all four worm
51:23 shine worm shine
51:33 that's pretty
51:34 funny worm
51:36 shine
51:39 ah where' the other ones go did I lose
51:43 my other ones I guess
51:45 so very
51:49 funny worm
51:52 shine it's like Turtle Wax only
51:56 different
52:01 I mean not for nothing that's that's
52:03 pretty slick the the uh the words on the
52:07 back of the can are pretty bad
52:10 but for a free tool now they are
52:12 watermarking everything so you know I
52:15 don't know if there's going to be some
52:17 paid version also apparently this tool
52:20 is going to be incorporated in Instagram
52:22 and Facebook and everywhere right it's
52:24 going to be everywhere so I don't know
52:26 how many many millions or billions of
52:28 people use Facebook but it's a lot so
52:31 the fact that this is so simple um and
52:34 yet still pretty powerful is you know
52:37 there's probably a good chance that that
52:39 this brings a lot of people into AI you
52:42 know ask meta anything let's see um
52:46 explain quantum
52:49 mechanics as an
52:53 &m WP
53:04 pretty good verse one yo listen up I'm
53:06 about to spit some facts about a theory
53:08 so mind blown no need to react quantum
53:11 mechanics the rules of the small where
53:12 particles get weird and the laws Stand
53:16 Tall yeah and then it understands verses
53:19 and choruses I mean you know it's a it's
53:21 a good large language model right so you
53:23 can up vote it down vote it copy it to
53:26 the clipboard but super simple right and
53:30 this is I think this is actually a super
53:32 smart move on their part
53:34 because
53:36 it's you know this is the a this is not
53:39 a super technical audience right this is
53:42 why chat GPT took off because it was so
53:44 simple everyone understood how to use it
53:48 and now you know it's
53:50 funny chat GPT now has gotten way more
53:54 um complicated it's got all these
53:56 different modes you can upload things it
53:58 can do data analysis it's got custom
54:00 instructions this is just this it's just
54:03 like here's a box type crap in and let's
54:07 see fun play 90s music
54:12 trivia what 1995 album by Oasis became a
54:16 critical commercial success and is often
54:18 credited with helping shape the Brit pop
54:21 movement what's the story Morning Glory
54:24 I think that's it isn't it
54:27 that is
54:30 correct which 9s grunge band formed in
54:33 Seattle known for its hit Black Hole
54:36 Sun Black Hole Sun is Pearl Jam isn't it
54:39 or is it sound
54:42 garden come on all you old people know
54:44 it's sound
54:46 garden c yeah I think it's
54:48 [Laughter]
54:52 C
54:54 correct which '90s pop icon album The
54:57 Velvet Rope included the hit Got Till
55:00 It's Gone and together again I don't
55:02 [ __ ] know but it's got to be Mariah
55:05 Carey Velvet Rope A A is that right I
55:10 think that's wrong no damn it Janet
55:12 Jackson all right all right people with
55:15 your music
55:17 trivia there's no shaming the
55:23 host we gave up on shaming
55:28 yes no I'm Johnny I'm not going to be
55:30 asking that no sorry I don't want to get
55:32 booted off of Tik Tok sorry you can but
55:35 feel free to go ask
55:38 that wait for our
55:41 help all right what else do they have
55:44 here is their little simulate a mock
55:46 interview that's
55:49 interesting let's conduct a mock
55:51 interview what type of job or industry
55:54 what level oh that's kind of cool
55:55 actually
55:57 what type of job are you preparing for
55:59 what's your level of experience I think
56:01 the
56:02 the if these large language models could
56:05 crack everyone I know that's looking for
56:07 a job right now like they just can't get
56:08 an interview like much less prepare for
56:11 one like how do you get an interview
56:13 wait that was fun Kyle wait which one oh
56:15 the uh the interview I can go back to
56:17 that um okay so what type of job are we
56:21 preparing for software engineering
56:23 marketing I'll do marketing because I
56:25 know it
56:29 marketing what level of experience do
56:31 you have uh let's see
56:40 CEO what type of company are you
56:42 aspiring to lead an agency God know a
56:45 brand of Technology nonprofit Let's Go
56:52 technology oh the music oh the music was
56:55 interesting the music trivia I was going
56:57 to say this this is yeah well let's go
57:01 do something more interesting like where
57:03 can we do let's
57:07 see this might be kind of fun
57:14 uh was thinking we could we could flip
57:17 back and forth between two between two
57:19 large language models but I feel like
57:20 that would get
57:23 boring not sure I'm not sure people AI
57:28 trivia yeah we could do AI
57:31 trivia let's is is meta connected to the
57:34 internet um what is the
57:38 weather
57:40 in Denver right now
57:57 why is this not working
58:12 oh consist of snow with overcast Skies
58:16 view
58:17 sources WF from alpha huh all right well
58:22 I guess it is connected to the internet
58:24 um tell me about story vine.com
58:36 link
58:39 unavailable
58:43 um
58:45 who
58:47 uh please note websites are subject to
58:49 change I encourage you to visit link
58:53 unavailable uh how else would I know uh
58:56 let me see if I can go uh here's what
58:57 we'll do we'll go we'll go
59:11 archive okay so here's a PDF file let's
59:15 go back to meta and
59:17 say
59:20 summarize the PDF here
59:28 says
59:32 searching can't access the PDF you're
59:34 talking about summarize the PDF
59:41 here oh that's wild it gave us a Google
59:46 link so it sent us back to Google if it
59:49 couldn't do
59:52 it huh
59:58 I don't get meta's business model right
1:00:00 now this AI [ __ ] I don't have a [ __ ]
1:00:04 clue what they're doing they're just
1:00:05 open sourcing it they're giving it away
1:00:08 it's this is now pointing to Google I
1:00:11 guess are they
1:00:16 partners get lyrics for yud AI trivia
1:00:20 let's do AI trivia all right we'll do
1:00:22 we'll do AI trivia here
1:00:24 um let's
1:00:28 play and AI
1:00:34 trivia game with the latest
1:00:39 news about
1:00:44 AI meta is
1:00:46 tanking yeah
1:00:56 [Music]
1:01:02 here are five trivia questions okay
1:01:05 let's see uh no I want it to
1:01:11 be
1:01:14 interactive ask one at a time all
1:01:19 right I'm going go plus we make this a
1:01:21 little
1:01:25 bigger all right all
1:01:32 right what's the name of the AI model
1:01:34 recently gained attention for its
1:01:35 ability to generate realistic images of
1:01:37 artwork including portraits of fake
1:01:41 people Dolly stable diffusion mid
1:01:44 Journey
1:01:46 llama well everything but
1:01:50 llama what's the name of it that gained
1:01:52 attention for its ability to generate
1:01:54 realistic images
1:01:57 oh this is weird see I guess
1:02:01 see mid
1:02:04 Journey all of the
1:02:08 above the correct answer was indeed mid
1:02:10 Journey question two which Tech Giant
1:02:12 okay this is a
1:02:14 shitty AI trivia thing so let's go try
1:02:17 chat GPT and see if it's any
1:02:20 better um
1:02:27 make me an interactive trivia game about
1:02:31 the latest news in
1:02:40 AI oh which by the way I got to show you
1:02:45 something let's design a simple okay
1:02:48 game outline 10 questions per round
1:02:50 multiple choice topics covered recent
1:02:54 advancements all right it's asking a
1:02:56 multi together hang
1:03:02 on okay that's great I want to play it
1:03:04 with some friends so just ask one
1:03:06 question at a time and don't move on to
1:03:09 the next one until we answer the
1:03:16 first okay which AI model released by
1:03:19 open AI in 2023 is known for its ADV
1:03:23 Advanced language capabilities
1:03:27 see this is going to be boring I
1:03:33 [Music]
1:03:35 think
1:03:37 [Laughter]
1:03:39 correct which technology company
1:03:42 announced significant improvements in AI
1:03:45 based Health Care
1:03:48 Imaging Google
1:03:51 Amazon Microsoft and Apple it's got to
1:03:53 be Google with Deep Mind
1:03:57 a you think is that
1:04:01 right Danielle's going with Amazon I'm
1:04:05 going
1:04:08 Google correct they announced
1:04:11 significant advancements and AI based
1:04:13 Health Care
1:04:14 Imaging question three what ethical
1:04:17 issue is most commonly associated with
1:04:19 the deployment of AI in public sectors
1:04:21 bias reduction and employment energy
1:04:24 consumption privacy
1:04:26 I think the loudest one right now is
1:04:28 bias but I
1:04:33 think
1:04:36 correct as of 2024 which country leads
1:04:40 the number of AI research papers
1:04:42 published
1:04:43 annually the US China Germany UK
1:04:49 a I think we're leading here
1:04:54 yep all right that was good but let me
1:04:57 show you something notice how my chat
1:04:59 GP chat GP he notice how my chat GPT is
1:05:05 behaving each of my responses is
1:05:08 numbered see it says response number six
1:05:10 and then it
1:05:13 um it summarizes the the response and
1:05:17 then it gives me the date and time well
1:05:19 actually didn't give me the time did it
1:05:21 give me the date though so and then it
1:05:23 gives me the uh token context window so
1:05:27 how many tokens has it used out of
1:05:29 4,000 um how I'm doing that is in my
1:05:32 custom instructions if you say customize
1:05:35 chat
1:05:37 GPT the the there's two places there's a
1:05:40 who are you so I just put you're a
1:05:42 helpful assistant who's not afraid
1:05:45 afraid to criticize as well as support
1:05:48 if it is appropriate and then how would
1:05:50 you like chat GPT to respond so I say
1:05:53 for every response give us the
1:05:56 sequential response count followed by a
1:05:59 response title that summarizes the
1:06:01 response also include a token context
1:06:05 window uh counter as a ratio of the of
1:06:10 the oh tokens tokens used versus tokens
1:06:15 available let's see and the
1:06:19 date comma
1:06:22 time and then I'm going to make it in
1:06:24 MST in
1:06:27 Mountain Standard
1:06:29 Time because that's where I am all right
1:06:33 so let's go chat J and
1:06:38 say create a
1:06:44 charter oh now it didn't give
1:06:48 me now it didn't give me date in time so
1:06:51 I'm going to fix that let's see let's go
1:06:54 in here I'm going to get rid of the
1:06:56 token count cuz I think it's
1:06:58 [ __ ] also
1:07:00 include the
1:07:06 date and
1:07:08 time and I'll put this in parentheses
1:07:12 in
1:07:16 MST it is MDT you know someone said that
1:07:19 to me the other day I'm going to just
1:07:22 put in mountain time cuz I'll let it
1:07:26 figure out in my MDT or MST Mountain
1:07:30 [Laughter]
1:07:33 Time Dam see yes see see y
1:07:37 palas all right uh explain Nostalgia to
1:07:41 a kindergarten Here We Go
1:07:44 response 3:45 all right that is totally
1:07:48 hallucinated the time time is totally
1:07:51 hallucinated but the date is correct so
1:07:54 we can fix that we will get rid of the
1:07:59 time also include the date there we
1:08:05 go but how cool is that now so all of my
1:08:11 responses have titles to them and a date
1:08:15 and then it gives you the response and
1:08:17 the purpose of this is if you're doing a
1:08:20 really long conversation you can kind of
1:08:23 you know remember oh that was like that
1:08:24 was response number s
1:08:26 that was the good one is that slick
1:08:29 somebody gave me that idea in here like
1:08:31 a week ago so I've been I've been
1:08:33 slightly refining it ever since and I
1:08:35 had it turned off and I'm like Hey
1:08:37 where's my title and I was like all
1:08:38 right that's not the way this works but
1:08:41 it is
1:08:42 now
1:08:44 sweet sweet sweet
1:08:48 [Music]
1:08:51 sweet Kyle I keep having to take
1:08:54 screenshots is that a good thing thing
1:08:56 or a bad
1:09:08 [Music]
1:09:23 thing let's go make a song
1:09:26 all right so here we are at udio if you
1:09:28 don't know
1:09:29 udio oh for those custom instructions
1:09:32 hang
1:09:33 on I'll go I'll go hang on them long
1:09:36 enough so that you can see them so
1:09:39 here's where here's where I
1:09:42 landed all right screenshot that for
1:09:45 every response give it a sequential
1:09:47 response count followed by a response
1:09:50 title that summarizes the response and
1:09:53 there's probably a way that you could
1:09:55 write that that's more like English but
1:09:57 that was all I could get out of my head
1:09:58 at that moment and then also include the
1:10:04 date and then it does
1:10:06 that oh you got it okay cool beauty
1:10:09 beauty beauty beauty all right let's go
1:10:12 make a
1:10:13 song so if you don't know
1:10:16 yudo let's go to let's go to chat
1:10:20 jpt do we want to go there let's go
1:10:23 let's go give meta a try
1:10:26 since meta is the new kid on the Block
1:10:28 let's
1:10:33 say I want you to act like a Grammy
1:10:37 award-winning
1:10:42 songwriter and give
1:10:44 me 10 memorable
1:10:48 concepts for songs
1:10:56 with the basic story the
1:11:01 title and a musical style and
1:11:08 feel all
1:11:11 right title lost in the moment romantic
1:11:15 ballad ghosts of our past fire in my
1:11:18 soul whisky and regrets a melancholic
1:11:22 folk ballad about drowning out sorrow
1:11:24 searching for forgiveness
1:11:26 acoustic guitar driven with a hint of
1:11:28 Blue blueg Grass Allah Jason
1:11:31 Isbell this one's interesting
1:11:35 because I think it's going to reject it
1:11:39 because of
1:11:42 um I think it's going to reject it
1:11:45 because of
1:11:47 uh it says Jason Isbell but we'll see so
1:11:50 let's
1:11:51 say great write the lyrics for number
1:11:54 four and and
1:11:57 include all the description information
1:11:59 as
1:12:05 well now udio you can write
1:12:11 um it can write 30 seconds at a time
1:12:14 which is essentially a verse of
1:12:17 music so what we can
1:12:20 do we'll copy all of this and verse
1:12:24 one then we'll go to
1:12:27 yudo we're going to do custom lyrics
1:12:30 we're going to pop them in
1:12:39 here I don't think there's a place for
1:12:43 us well actually
1:12:45 maybe let me copy all of this stuff let
1:12:48 me see if I can put it all in there
1:12:55 well maybe we'll
1:12:59 see someone told me they turned off
1:13:01 manual mode Joker didn't you tell me
1:13:03 manual mode was turned off I still see
1:13:05 manual mode in
1:13:07 mine all right so let's see if it does
1:13:11 this it might kick it out because we use
1:13:14 the name Jason Isbell he might be famous
1:13:18 enough my Creations oh it's making
1:13:21 them now artist replaced Jason Isbell
1:13:25 replaced with male vocalist Americana
1:13:27 singer songwriter Northern American
1:13:29 Music Regional music Heartland Rock okay
1:13:32 that's not bad
1:13:34 actually I like I like what it's doing
1:13:38 there like it didn't just block it it
1:13:41 didn't just say hey you're using someone
1:13:42 else's name you can't do that it's
1:13:44 saying hey you're using someone else's
1:13:46 name you can't do that but I know enough
1:13:49 about this stuff to know that if I put
1:13:50 in these other terms it'll be in that
1:13:52 neighborhood I think that's actually
1:13:54 pretty smart
1:13:55 I like it wasn't you
1:13:58 oh other fillers okay let's
1:14:03 see I woke up this
1:14:06 morning with tears in my
1:14:10 eyes the memories of you leaving they
1:14:14 still linger and
1:14:16 Rise I reach for my
1:14:21 B those are really bad lyrics aren't
1:14:23 they oh meta
1:14:27 let's grab
1:14:28 this let's go to chat
1:14:32 JP and see if it do any
1:14:36 better AC is Grammy
1:14:42 awardwinning act as
1:14:45 a
1:14:47 songwriter and write me the lyrics for
1:15:00 in the dim light of a fading day Rusty
1:15:02 strings soft guitar plays I pour my
1:15:04 heart like this old whiskey neat Echoes
1:15:07 of view in every
1:15:09 Retreat
1:15:20 um the lyrics are a little simple and
1:15:23 predictable can you make them more
1:15:25 nuanced
1:15:28 metaphoric and non-
1:15:35 cliche The Dusk spills its secrets on
1:15:38 the dusty floor silent strings strum the
1:15:41 echo's lore in the Amber por a mirrored
1:15:43 Sky Reflections where the swallows fly
1:15:47 chorus whiskey and regrets weaving
1:15:49 through my veins a tap a tapestry
1:15:59 you canot use the word tapestry wait you
1:16:03 canot use the word tapestry or delve or
1:16:07 any ridiculous words that large language
1:16:10 models overuse this is an Americana
1:16:13 heartfelt
1:16:15 song and they don't use words like
1:16:17 tapestry and delve you weirdo
1:16:25 it didn't even
1:16:28 [Music]
1:16:32 apologize all right let's
1:16:35 see even if falls does okay whiskey and
1:16:39 regrets Partners in my song melodies of
1:16:42 right and wrong each sip unfolds stories
1:16:45 Untold in this drink our lives unfold
1:16:48 yeah it's still kind of shitty isn't it
1:16:49 but let's let's it it at least it's got
1:16:51 to be better than what we had before so
1:16:53 let's go grab this we'll go back to
1:16:58 yudo and we are going to blast this one
1:17:01 out of
1:17:06 here all
1:17:11 right a tapestry slams keyboard AI Karma
1:17:16 Lords will get you for that one day I
1:17:18 know when these things get memory
1:17:19 they're going to be like you know when
1:17:20 you were a smartass to
1:17:23 me yeah I
1:17:26 now are these free versions um Udo is
1:17:30 free right now ud.com and it's really
1:17:34 good and they give you 600
1:17:36 Generations a month and they do two
1:17:40 songs per generation so it's it's a lot
1:17:43 it's a lot of music they're giving you
1:17:44 for nothing
1:17:49 [Music]
1:17:50 honey evening
1:17:53 Falls dust settles in in the light hate
1:17:59 it sounds better evening Falls dust
1:18:03 settles in the light this is
1:18:06 good Jason is belly quiet cords float
1:18:10 through the fing
1:18:12 [Music]
1:18:14 night in the glow of Amber Skies
1:18:19 Retreat this is
1:18:21 good mirrors of the past we can't
1:18:25 [Music]
1:18:30 okay
1:18:31 [Applause]
1:18:35 beautiful all right so now we're GNA so
1:18:38 the way you do this oh you can't see on
1:18:39 my screen hang on let me dim it a little
1:18:42 so I can either remix it which I guess
1:18:44 just rolls it I can extend it or I can
1:18:46 publish it so I'm going to extend
1:18:48 it and then what you do is I'm going to
1:18:51 pop in the chorus now and you can either
1:18:54 add an intro a section before this
1:18:57 section a section after the section that
1:18:59 we just heard or an outro so I'm just
1:19:02 going to yeah the gravity voice was
1:19:04 really good Chris Kristopher yeah it was
1:19:06 really good all right so let's see what
1:19:08 this does with the chorus hopefully it
1:19:10 it does a good Chorus for
1:19:13 us isn't this amazing that you can just
1:19:17 and this is one of the things that I
1:19:20 love doing is is just being able to like
1:19:24 jump from from tool to tool to Tool and
1:19:27 you know I don't know 2 years from now
1:19:28 when these things are all singing all
1:19:30 dancing multimodal tools everything will
1:19:32 just happen in the same interface but
1:19:34 right now it's really fun to be able to
1:19:36 just you know well let me go try this in
1:19:38 meta let me go try this over here maybe
1:19:40 because because they all have such
1:19:42 different personalities in fact let's do
1:19:45 another experiment let's go
1:19:48 grab the description of this and go to
1:19:52 Pi because pi
1:19:55 is designed to be conversational and I'm
1:19:58 wondering I'm wondering if Pi might do
1:20:01 lyric writing better than these other
1:20:04 tools pi.
1:20:10 a all
1:20:14 right so act as a Grammy awardwinning
1:20:17 singer songwriter whiskey and regrets
1:20:20 there's a bottle on the table glass half
1:20:22 full of Shame that's really good haunted
1:20:24 by the memor
1:20:26 I can can out run I can outrun A
1:20:29 Thousand Dreams forsaken drowned in
1:20:31 amber rain each sip a bitter reminder of
1:20:34 all that I've become it's pretty good
1:20:36 whiskey and regrets are all that I have
1:20:38 left an empty bottle of broken heart a
1:20:40 soul
1:20:41 B I'm searching for forgiveness in this
1:20:44 bottle's depths but all I find are
1:20:46 Whispers of mistakes and missteps this
1:20:49 is really
1:20:51 good this is really
1:20:54 good you know what you know what P got
1:20:57 here better than anything else I've seen
1:21:00 is the chorus like it understands that
1:21:03 the chorus has to tell the whole
1:21:05 story whiskey and regrets are all that I
1:21:08 have left an empty bottle a broken heart
1:21:10 a soul bre I'm searching for forgiveness
1:21:13 in the bottle's depths but all I find
1:21:15 are Whispers of mistakes and
1:21:17 missteps that's good we'll probably miss
1:21:20 that too Sizzle all right I'm gonna
1:21:25 I think I think we're GNA I think we're
1:21:27 going to punt on this other other
1:21:28 version but let's see how it
1:21:31 [Music]
1:21:34 did evening Falls dust settles in the
1:21:39 [Music]
1:21:46 light whiskey and
1:21:49 regrets Partners in my
1:21:53 song Melo
1:21:55 of right and
1:21:57 [Music]
1:21:59 wrong each zp
1:22:04 [Music]
1:22:07 unfold whiskey and
1:22:10 [Music]
1:22:14 regrets here you know what we're going
1:22:15 to do we're GNA also have
1:22:18 piie um give
1:22:22 me
1:22:24 10 alternate
1:22:30 titles empty bottles Broken Dreams
1:22:33 that's not bad drowning in amber
1:22:36 rain how about just amber
1:22:44 rain let's call it amber
1:22:49 rain
1:22:51 the
1:22:53 um chorus should still start with
1:22:56 whiskey and regrets but then you should
1:22:59 incorporate amber rain into the chorus
1:23:08 appropriately Amber rain's pretty
1:23:11 good cloudy amber
1:23:13 rain amber rain for the win yeah right
1:23:18 Corey I got a thumbs down I got a thumbs
1:23:22 up but can it do rap yeah it can
1:23:28 rrap whiskey and regrets my constant
1:23:31 companions in the
1:23:35 night amber rain falls from
1:23:50 the I'm going to
1:23:53 say keep your original first
1:23:58 verse but only start the chorus with the
1:24:02 line whiskey and
1:24:04 regrets
1:24:12 period there's a bottle on the table
1:24:15 glass half full of
1:24:18 Shame whiskey and regrets are all that I
1:24:20 have left an empty bottle of broken
1:24:21 heart a soul bere and searching for
1:24:24 forgiveness
1:24:25 rest of the lyrics wait okay damn
1:24:33 it okay but the song is called Amber
1:24:36 rain so the chorus has to have amber
1:24:38 rain in it possibly even more than once
1:24:42 period get with the
1:24:44 [Laughter]
1:24:52 program never meant to cause you any
1:24:54 trouble and R Ember rain whiskey and
1:24:56 regrets flow and Ember
1:25:11 rain uh okay we got to go we got to fix
1:25:14 this [ __ ] that was good who did that
1:25:16 Corey oh I on China wait yeah never
1:25:20 meant to cause you any trouble wait
1:25:22 whiskey and regrets
1:25:30 see
1:25:31 this okay this is the problem
1:25:35 people is is
1:25:38 uh when you actually try to do real work
1:25:41 and you pay attention to this [ __ ] it's
1:25:44 like it's like it they're just janky
1:25:48 these things are [ __ ]
1:25:51 janky RI them frig them all right
1:25:55 let's see copy okay let's go over to
1:25:59 notepad we'll go here we'll
1:26:02 here we'll go so you can see it there's
1:26:06 a bottle okay whiskey and regrets are
1:26:08 all that so now let's go back and
1:26:11 get one of the choruses that didn't suck
1:26:25 whiskey and regrets are all that I have
1:26:33 left
1:26:39 whet all right this is fine we'll just
1:26:42 grab this
1:27:05 B once you start correcting AI gets
1:27:08 worse it totally gets worse when you
1:27:10 start correcting it Whiskey Whiskey
1:27:12 regrets are all that I have
1:27:19 left wait whiskey and regrets
1:27:33 um
1:27:36 deepening the
1:27:40 pain
1:27:43 um deepening the
1:27:46 pain I see
1:27:51 it in your eyes
1:27:56 and in the
1:27:59 amber rain
1:28:04 okay and then we'll repeat this
1:28:07 one for the last
1:28:09 one we're gonna have a hit song Here
1:28:14 people okay
1:28:18 so so it's now called Amber rain okay
1:28:21 copy this
1:28:24 oh it put amber rain in the first verse
1:28:27 God dang
1:28:28 it okay wait a Thousand Dreams
1:28:33 forsaken
1:28:36 um hit like afraid uh
1:28:40 hit me like a
1:28:43 train okay there we go good Lord verse
1:28:48 one okay we have a verse back to
1:28:52 yudo okay we want to read reset this oh
1:28:55 crap I didn't want to do that well too
1:28:57 late now all right so lyrics go
1:29:04 here this thing
1:29:11 goes where's my prompt
1:29:18 edit strange strange
1:29:26 okay title
1:29:28 okay melancholic folk
1:29:32 ballad copy all right
1:29:36 udio paste this in
1:29:39 here I'm leaving Jason Isbell in there
1:29:41 I'll let it correct it for
1:29:43 me all right there we
1:29:50 go when are you going on tour I I got to
1:29:53 finish the song first I can't get
1:29:55 through these [ __ ] lyrics check my
1:29:57 previous two posts Kyle
1:30:00 [Music]
1:30:03 okay it all just sounds the
1:30:06 same I'm drowning here under the amber
1:30:10 rain yeah I know this good I'm tired of
1:30:12 hearing myself complain over and over
1:30:15 again whiskey and regrets yeah these are
1:30:17 good
1:30:19 Corey um
1:30:24 yeah these are
1:30:31 good yeah we gota we gotta oh you know
1:30:34 what Corey do me a favor go go post them
1:30:37 either DM me DM me on um on Mighty
1:30:42 networks so just post it to a regulars
1:30:44 and then I'll go grab them because I
1:30:45 don't want to do it I don't want to do
1:30:46 it here live I just kind of want to make
1:30:47 the song and get it
1:30:50 extended but I like I like the the
1:30:53 changes that you made artist place all
1:30:54 right let's see if we
1:30:59 got there's a B on the table glass half
1:31:04 full of
1:31:06 Shame haunted by the
1:31:09 memories that I can out run a Thousand
1:31:14 Dreams
1:31:15 forsaken hit me like a train ex simp a
1:31:20 bitter
1:31:21 reminder of all that I've
1:31:26 [Music]
1:31:35 become there's a bottle on
1:31:39 table glass half full of
1:31:42 Shame haunted by the
1:31:45 memories that I can't out
1:31:48 run Thousand Dreams
1:31:51 forsaken hit me like a train each sip of
1:31:55 bitter
1:31:57 reminder of all that i'
1:32:00 become yeah that's
1:32:02 [Music]
1:32:08 good see it in the glass and see it in
1:32:11 the Ember rain yeah yeah that's pretty
1:32:13 good all right let me go grab
1:32:18 the Le
1:32:21 lorus Flo amber rain whiskey regrets
1:32:24 Ember and flows again okay
1:32:27 copy Udo
1:32:31 extend paste those
1:32:35 lyrics extend
1:32:42 it and this is you know it's funny like
1:32:46 you know I was talking earlier about
1:32:47 this this shitty bill that that the
1:32:50 Colorado Senate's trying to
1:32:53 pass and like the their thing about you
1:32:55 know stuff that's been produced with
1:32:57 ai's got to be labeled and it's like
1:33:00 well
1:33:02 like if I spend like even if this is the
1:33:05 tool that's that's creating the music if
1:33:08 I'm like rewriting the lyrics and doing
1:33:11 27 versions of the song and and
1:33:14 potentially even taking it into some you
1:33:16 know DAW and you know splitting the
1:33:19 tracks out and fixing them and doing all
1:33:21 that [ __ ] like at what point yeah this
1:33:23 is very John Prim as
1:33:25 at at what point does this not when it
1:33:28 is it not Ai and like why does it
1:33:30 [ __ ]
1:33:33 matter you
1:33:36 [Music]
1:33:40 know there's a bottle on the
1:33:43 table glass half full of
1:33:47 Shame haunted by the
1:33:50 memories that I can't out
1:33:53 run that Thousand Dreams
1:33:56 forsaken hit me like a train each sip of
1:34:00 bitter
1:34:01 reminder of all that I've
1:34:04 [Music]
1:34:10 become that's very John
1:34:16 Prime whiskey and regret FL the Amber R
1:34:21 nope
1:34:27 whiskey and regrets flow in the amber
1:34:32 rain in each bitter drop by taste a
1:34:37 thousand
1:34:38 stolen sips of Dreams
1:34:42 foren heart
1:34:45 nope try it
1:34:50 again Market a relabeled whiskey amber
1:34:53 rain
1:34:54 it's gone folky it
1:34:57 has time for a duo with Brazilian
1:35:01 Dylan posted in in IR regulars just a
1:35:04 diddy definitely an acoustic guitar song
1:35:07 it is all right let me go to regulars
1:35:09 let me get Corey's lyrics because
1:35:11 they've got to be better than what's
1:35:13 what this thing squirted out and I'm
1:35:14 editing in real
1:35:20 time I'm so tired of hearing myself
1:35:22 complain over and over again
1:35:29 oh yeah that's good this is a good
1:35:30 chorus this is really good okay so let's
1:35:32 go back here screw that [ __ ] that I put
1:35:34 in there so we'll take
1:35:36 the 32nd one this is it right yeah so we
1:35:41 extend this one we'll throw these in
1:35:45 we'll we'll call them A
1:35:52 Chorus add the section all right there
1:35:55 we
1:35:55 go I think this is going to be much
1:35:58 better that's mo better cor Sandler
1:36:01 that's mo
1:36:02 better MOA
1:36:08 [Music]
1:36:11 Blues it needs will frell in the
1:36:14 Triangle
1:36:18 Ting hey and Murphy what shaking we're
1:36:21 just sitting here writing some Jason
1:36:23 isbel
1:36:25 but not really we can't use his
1:36:28 name it matters because people have to
1:36:30 make money to live
1:36:32 marketing oh markeing AI is an attempt
1:36:35 to preserve the profitability of
1:36:38 creative
1:36:39 art yeah
1:36:41 but the the whole creative art um the
1:36:45 whole create but that's not going to
1:36:46 that's not going to save it ad agencies
1:36:49 are not going to not use this um it it's
1:36:54 it's not going to save it to label it cu
1:36:56 cu artists are going to use these tools
1:36:59 even musicians are going to use these
1:37:01 tools and it's it's not like they're
1:37:03 just going to push a button and out
1:37:05 comes the song they're going to be
1:37:06 collaborating with other artists with AI
1:37:09 it's just going to be a tool in the mix
1:37:11 just like you know just like a Daw is a
1:37:13 tool in the
1:37:14 mix um yeah but don't get me wrong I I
1:37:19 empathize and it's a [ __ ] mess right
1:37:20 now
1:37:22 but let's see
1:37:28 I'm so
1:37:29 tired of hearing my self complaint it's
1:37:35 good over and
1:37:38 over and over
1:37:42 again whiskey and
1:37:45 regrets and it all just sounds the
1:37:49 same don't watch me
1:37:51 drowning in my Amber
1:37:54 yeah that's good there you go that's the
1:37:56 chorus that's not a I get in like that
1:37:58 version but let's hear this
1:38:01 [Music]
1:38:06 one I'm so tired of
1:38:10 hearing my self complain that's not
1:38:14 right all right let's
1:38:18 [Music]
1:38:20 see when it said artist replace did it
1:38:23 give me
1:38:26 we've replaced isbel with male
1:38:39 vocalist let me grab all that and go up
1:38:43 here and replace it
1:38:56 write a jingle for your channel that's
1:38:57 not a bad
1:39:03 idea edit out so tired to just tired all
1:39:07 right
1:39:27 I'm tired of
1:39:37 here I'm so wait I'm so I No it should
1:39:42 be I'm so sick and
1:39:45 tired of hearing myself complain over
1:39:49 and over and over
1:39:58 well let's see let's see what it did
1:40:00 with the last one maybe it maybe it did
1:40:02 it
1:40:03 [Music]
1:40:10 okay I'm so tired
1:40:14 ofing I'm so freaking tired who just
1:40:16 said that Corey
1:40:18 yeah how's the Musical coming along uh
1:40:21 it's good I didn't work on it a ton this
1:40:24 week I worked on a couple of
1:40:26 songs I'm
1:40:28 so fraking
1:40:32 tired I'm so freaking tired of hearing
1:40:34 myself
1:40:38 complain I'm so freaking tired if hear
1:40:41 myself complain
1:40:56 let's try this one extend it all right
1:41:00 it's going it's going people
1:41:14 [Music]
1:41:28 CU I think what would be really cool to
1:41:30 do is just write a bunch of these and
1:41:33 then just start singing them and just
1:41:35 you know what I mean like learn them on
1:41:37 guitar and just see which ones see which
1:41:40 ones you internalize and and feel real
1:41:44 right
1:41:50 [Music]
1:41:56 I'm so fing tired
1:42:03 thicking I'm so freaking tired okay
1:42:06 can't do freaking
1:42:08 tired did I spell it wrong oh I
1:42:13 did user
1:42:20 error that's really
1:42:22 funny oh freaking H it's all right
1:42:25 freaking freaking I'll change freaking
1:42:27 for the next one cuz this probably won't
1:42:29 be good I'm so freaking
1:42:34 tired
1:42:36 ficking we just we'll just blast another
1:42:38 one in there there we
1:42:40 [Laughter]
1:42:44 go
1:42:46 ficking I'm so freaking tired
1:42:55 [Music]
1:43:02 I only want to see you laughing in the
1:43:05 amber rain amber rain amber rain oh
1:43:08 [Laughter]
1:43:12 Joker
1:43:14 oh you could say now see if you say
1:43:17 something like drinking my amber rain it
1:43:19 makes it too obvious
1:43:23 [Music]
1:43:29 I'm so freaking tired of
1:43:32 [Music]
1:43:33 hearing
1:43:36 [Music]
1:43:42 nope I'm so freaking tired there of
1:43:47 hearing complain there you
1:43:49 go over and
1:43:52 over oh over
1:43:55 again whiskey and
1:43:57 regrets and it all just sounds the
1:44:01 same don't watch me
1:44:06 drowning in
1:44:08 my oh that's good that one's good all
1:44:12 right now can I heart that one oh they
1:44:16 fix their heart their
1:44:19 interface okay let's try this one
1:44:25 I'm so freaking tired
1:44:34 nope there's a bottle on the
1:44:37 table glass half full of
1:44:41 Shame haunted by the
1:44:43 [Music]
1:44:46 [Applause]
1:44:48 memories I'm so freaking tired of
1:44:51 hearing nope okay all right all right so
1:44:53 we'll do this one we're going to extend
1:44:55 it I'm going to add an Intro
1:44:58 instrumental go so let's see if we can
1:45:00 get a decent beginning to this
1:45:06 thing don't just stand there and watch
1:45:08 me drowning in my amber rain that's
1:45:10 pretty good yeah that's pretty good
1:45:12 don't just stand there all right but but
1:45:15 wait I've got
1:45:16 a I see now I forget where I've got to
1:45:21 let me go fix it in let me grab
1:45:26 uh this
1:45:31 one let's
1:45:44 see don't just stand
1:45:47 there watching don't
1:46:04 oh hang
1:46:11 on let's go put this over here
1:46:47 all right got it there's I think there
1:46:50 needs to be something else before over
1:46:51 and over and over again but let's go see
1:46:54 if we got anything decent for the
1:46:55 beginning of this
1:47:06 thing like
1:47:11 that that's a
1:47:15 [Music]
1:47:18 little ah champy
1:47:23 [Music]
1:47:24 [Applause]
1:47:28 [Music]
1:47:33 yeah you like that right
1:47:36 champy
1:47:38 yeah it's a
1:47:42 hit Champion
1:47:44 [Music]
1:47:50 approved there's a bottle on the table
1:47:54 glass half full of
1:47:57 Shame haunted by the
1:48:00 memories that I can out
1:48:03 run Thousand Dreams
1:48:06 forsaken hit me like a train each sip of
1:48:10 bitter
1:48:11 reminder of all that I've
1:48:14 [Music]
1:48:21 become I'm so freaking
1:48:23 tired of hearing myself
1:48:28 complain over and
1:48:30 over over
1:48:33 again whiskey and
1:48:35 regrets and it all just sounds the
1:48:39 same yeah course needs to be fixed but
1:48:41 that's all right we're going to extend
1:48:42 it we're going to add another
1:48:44 verse all right we're going to add
1:48:47 another verse there's a picture in my P
1:48:49 Pocket faded and worn a relic of the
1:48:51 life I want had
1:48:55 known eyes full of wonder Hearts so
1:48:57 young before this road of Sorrow that
1:48:59 I've stumbled
1:49:01 [Music]
1:49:04 on I guess that's
1:49:09 okay anyway if you're not playing with
1:49:11 yudo you should be playing with yudo
1:49:13 because it's free and it makes cool
1:49:17 music we have a
1:49:21 winner champion
1:49:23 approved all right you'll hear one more
1:49:25 champy
1:49:31 [Music]
1:49:47 [Music]
1:50:02 all
1:50:08 right over and
1:50:11 over over
1:50:13 again whiskey and
1:50:16 regrets and it all just sounds the
1:50:20 same don't watch me drowning
1:50:23 [Music]
1:50:26 in my
1:50:26 [Music]
1:50:36 am there's a picture in my
1:50:40 pocket faded and
1:50:44 worn relic of the life that I once had
1:50:50 known
1:51:02 am there's a picture in my
1:51:05 pocket faded and
1:51:09 worn a relic of the life that I once had
1:51:15 known eyes full of
1:51:18 wonder and a heart so
1:51:21 young before this road of Sorrow that i'
1:51:26 stumbled on all right we like that one
1:51:29 it's good enough it's got it's gotten
1:51:32 itself a little confused with the Rhythm
1:51:34 but that's
1:51:35 okay we're going to throw this chorus
1:51:39 back in there let's see
1:52:17 I'll grab an outro we'll do an outro
1:52:26 oh did I just close that window I did
1:52:28 I'm an
1:52:29 [Laughter]
1:52:34 idiot you big dumb
1:52:37 dumb like Creations all right the last
1:52:40 one we're going to extend it we're going
1:52:42 to do an outro we're going to do lyrics
1:52:44 we're going to put the outro lyrics
1:52:47 here let's see I walk toward the future
1:52:51 with with with hope in my
1:52:57 heart leaving whiskey in regrets forever
1:53:00 in the
1:53:03 dark look toward my
1:53:15 future
1:53:17 pouring amber
1:53:19 rain I walk toward the future
1:53:40 [Music]
1:53:43 wait the bottle's almost empty my soul
1:53:46 is almost free yeah that's better almost
1:53:51 free that's better
1:53:53 the past just a
1:53:55 shadow deep in my
1:53:58 memory I walk toward the future we need
1:54:02 like um oh how about I steam toward the
1:54:08 future a locomotive
1:54:12 train there we go that's very John Hyatt
1:54:16 I steam toward the future a locomotive
1:54:18 train
1:54:33 um let's see leaving leaving whiskey and
1:54:36 regrets now that's not where um pouring
1:54:39 embran let's see I steam toward the
1:54:41 future oh wait
1:54:48 um um I turn
1:54:58 toward the
1:55:10 past I
1:55:18 beckon moments
1:55:24 past pouring amber rain and there wasn't
1:55:27 a dry eye in the house all right outro
1:55:30 extend let's do this
1:55:42 [Music]
1:55:58 [Music]
1:56:02 version 2.2.2
1:56:05 point1 oh that's nice they're numbering
1:56:07 them now that's nice the the
1:56:10 extension oh that's really good they
1:56:12 added that so look here's extension
1:56:14 version two here's extension version
1:56:18 2.2 and
1:56:20 2.1 and then 2.2.2 and 2.
1:56:24 2.2.1 that's really good cuz that was
1:56:27 one of the hard things all right before
1:56:31 this road eyes full of
1:56:35 wonder and a heart so
1:56:38 young before this road of Sorrow that
1:56:42 I've stumbled
1:56:44 [Music]
1:56:51 on the B bot's now
1:56:54 empty my soul is almost
1:56:58 free the past just a
1:57:01 shadow deep in my
1:57:05 memory I steam towards the
1:57:08 future a locomotive
1:57:11 train I beckon moments
1:57:15 past por
1:57:20 and yeah not not hard
1:57:29 [Music]
1:57:38 the bottles now empty my soul is almost
1:57:43 free the past just a
1:57:46 shadow deep in my memory memy I steam
1:57:51 towards the future
1:57:53 a locomotive
1:57:56 train be moments
1:57:59 pass amber rain yeah that's not good all
1:58:03 right well we'll leave it with that this
1:58:06 song didn't quite work it was close but
1:58:09 it was just there was something off on
1:58:11 the Rhythm on it the whole time and it
1:58:13 never quite it never quite got it but
1:58:14 that's all right that's all right this
1:58:16 is how we learn people all right I'm
1:58:19 getting out of here hope you had fun
1:58:21 tonight um happy Friday night everybody
1:58:24 follow my
1:58:26 channel um subscribe to the lives keep
1:58:29 showing up keep coming back let's see
1:58:31 who is in here
1:58:36 tonight Papa JJ
1:58:39 Joey steo peace out good to see you
1:58:42 Corey Sandler thanks for the uh lyric
1:58:44 rating fun random thoughts by TK good to
1:58:47 see you pop JJ Dr J Silver
1:58:50 Fox good night
1:58:54 laughing Thunder was in here who else
1:58:58 unraced two block Tom laughing
1:59:02 Thunder Lily
1:59:08 [Music]
1:59:11 bigons Danielle oh no good
1:59:17 night good night Danielle all right
1:59:20 everybody Apple user good to see you
1:59:23 Robert Rossy thank you so much as always
1:59:25 Brian Whitney great to see you virtual
1:59:27 assistant Amelio's wife thumbs
1:59:29 up thumbs up it's a good
1:59:32 thing come to the play shop oh yeah come
1:59:35 to the play shop tomorrow uh if you're
1:59:37 not uh if you're not registered you can
1:59:40 be if you go to there go to the
1:59:44 salon. there's two important links there
1:59:47 above the AI Salon Community there's a
1:59:49 letter to the Colorado Senate that I
1:59:52 want you to sign and then there's the
1:59:54 play shop that I'm giving tomorrow from
1:59:56 9:00 a.m. Pacific
1:59:59 until 1 Pacific 4
2:00:02 hours um there's a link to that and if
2:00:05 you use the code Salon fun you got money
2:00:09 off a lot of it all right peace
2:00:12 out have a good night everybody