AI Learning Lab

aiLL 8/21/23 - Why Large Language Models Will Reshape Industries Overnight

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Video2023-09-231:59:1416 views

Description

On August 21, 2023 I talked about why these generative AI tools feel similar to the early days of the World Wide Web in the 1990s. I reflected on the state of various industries like advertising, journalism and entertainment and how they will need to reinvent themselves. The pace of change will be swift, with many jobs being displaced while new opportunities arise. However, I believe being an early adopter and getting literate with these tools now is the best way to future-proof your career. If you want to understand the monumental impact AI will have on work and life, be sure to check out my TikTok channel AI Learning Lab at https://tiktok.com/@aiLearningLab. #ai #chatgpt #futureofwork Key Topics: 0:03:20 - Why generative AI feels like the early web days 0:13:10 - How AI will reshape the agency model 0:19:15 - Why writers should embrace, not fight, AI tools 0:28:20 - The threat of "algorithmic governance" 0:40:01 - Why slowing down AI progress is impossible 0:50:09 - Where will entry level jobs be in an AI-powered world 0:55:06 - AI's potential impact on the medical industry 1:16:53 - How AI will enable people to reinvent themselves and unlock new careers 1:19:38 - The idea that AI tools can help people achieve competency faster, reducing the need for 10,000 hours of practice

Chapters

Transcript

0:07 foreign
0:38 looks like some people are starting to
0:40 pop in here welcome
0:43 welcome welcome welcome welcome welcome
0:47 to the ER learning lab
0:51 what did I do with my other watch bands
0:56 get up on there
0:58 where did I put them I think they might
1:01 be in my suitcase
1:04 welcome
1:05 Winston welcome Keegan
1:09 how is everybody
1:15 what day is today Monday night
1:19 partying on a Monday
1:21 got a nice refreshing agua
1:29 very nice very nice hello Winston hello
1:33 sure today Sugar Ray Robinson bye
1:36 Basquiat or by uh yeah Basquiat
1:41 the king
1:44 there's the bear it's happening share
1:47 bear
1:48 just getting started here tonight
1:50 there's Lori what's happening
1:59 oh I got trolled good last night I'll
2:01 tell you all about it it's pretty funny
2:03 I'm normally good at catching that [ __ ]
2:06 but I just missed it last night
2:09 what are you gonna do
2:14 it was Amelia's wife that tipped me
2:16 after after the live after the live
2:22 I was tipped off
2:27 welcome everybody welcome welcome
2:31 all right we'll get started here in a
2:34 second
2:35 feel free to uh it's a beautiful cute
2:41 oh I'm hot it's hot it was 100 degrees
2:44 here in Denver today it's uh this this
2:48 this climate change thing I think
2:50 climate has changed
2:52 it's not changing I think we're we're in
2:55 the in the new era
2:59 crazy well thank you for the teddy bear
3:03 the gummy
3:05 the gummy gummy gummy all right so we'll
3:08 get started here looks like we got some
3:10 folks
3:11 tumbling in now uh my name is Kyle
3:14 Shannon this is the AI learning lab I uh
3:18 I like talking about generative AI stuff
3:20 we have a lot of fun in here we have
3:22 some regulars that hang out here we call
3:24 them the Irregulars because you know
3:26 it's How We Roll things things are a
3:30 little left to Center here at the the AI
3:32 learning lab
3:33 and that's the way we like it and uh a
3:36 little bit about my background I'm an
3:38 entrepreneur and a uh I'm the co-founder
3:41 and CEO of a company called storyvine
3:43 and I'm super into this generative AI
3:46 stuff for my business and for personal
3:48 and it reminds me a lot of the early
3:51 days of the World Wide Web I was a I was
3:53 an entrepreneur back then I was
3:55 co-founder of a company called
3:57 agency.com which is one of the first
3:59 digital agencies uh ended up selling
4:01 that to Omnicom in 2002 but that was
4:04 insane times and a really remarkable it
4:08 was you know it was a remarkable time to
4:10 be
4:11 at the beginning of something that
4:13 became you know that changed so much and
4:15 I think this is the same stuff this this
4:17 generative AI stuff so let me walk you
4:20 through what's going on here with this
4:22 um
4:23 I'm gonna come back to that we're gonna
4:26 start with
4:27 scammy mcstammington
4:29 so
4:31 um if you follow me be sure to check my
4:34 account because Tobias just told me hey
4:36 Tobias
4:37 that both he and his wife thought they
4:40 were following me and and the front page
4:42 of the scam site looks just like mine
4:45 has my videos on it and not until you
4:47 dig into I guess their profile do you
4:50 see that it actually theirs has two L's
4:52 so AI Lola learning lab that there's
4:56 scammers that stole my content so feel
4:59 free to report them Tick Tock doesn't
5:00 seem to give a [ __ ] right now but
5:02 whatever
5:04 um but just they're trying to sell
5:05 multi-level marketing stuff and that's
5:07 not me and I won't do that if I'm gonna
5:10 sell multi-level marketing stuff I'll be
5:12 honest and call it a pyramid scheme
5:14 and we'll do it right
5:16 we'll all be in the upline the
5:18 Irregulars will be in the upline
5:20 the downline is going down but these
5:22 guys are just
5:23 pain in the ass okay
5:26 so if you are
5:29 um new to this chat GPT stuff if you
5:31 haven't played with it go there
5:32 chat.openai.com that's the official
5:34 website Claude and Bing are also worth
5:37 playing with but you can just start with
5:39 that top one and then if you don't know
5:41 at all what you're doing go to
5:43 prompts.chat that'll teach you
5:45 um how these things work what they
5:47 really are what a large language model
5:48 is how you prompt them uh it'll give you
5:51 lots of ideas about ways that you can
5:52 make these things act to to you know
5:55 kind of be little special assistance for
5:57 you pretty interesting stuff uh if you
6:00 want to play kind of uh with some other
6:03 models just experiment these are four
6:05 others that I think are worth playing
6:06 with Bard it's actually five you get
6:09 kind of a bonus here Bard is Google's
6:11 entry perplexity is a good site for
6:13 research it does good citations
6:16 labs.perplexity gives you access to
6:19 metas llama 2 models for free if you
6:22 just want to play around with them and
6:23 see what they're like and then Pi we've
6:25 nicked name chatty GPT
6:28 Pi dot AI or the PI app is super super
6:31 conversational to the point that it's
6:33 annoying if you want to get [ __ ] done
6:35 but it's really fun if you want to just
6:37 talk to something and then Poe lets you
6:39 play with multiple models has a bot
6:41 maker and is worth your time so that's
6:43 that stuff
6:45 final little bit here that I like to go
6:48 over and you know I I update these
6:50 things occasionally as I learn about new
6:53 stuff these are I don't know that these
6:55 are state of the art these are things
6:56 that I think are worth spending your
6:58 time on
6:59 so these are the image generation tools
7:01 mid-journey Adobe Firefly Leonardo and
7:04 clip drop so mid journey is by far the
7:07 best in terms of quality stable
7:09 diffusion is getting close the bottom
7:11 two are flavors of stable diffusion and
7:14 then Adobe Firefly is commercially it's
7:18 going to be safer commercially because
7:19 it's not trained on any copywritten
7:21 imagery
7:23 um so so that's pretty interesting and
7:25 generative fill within the Photoshop
7:27 beta is really really good uh Leonardo
7:30 is a web front end to stable diffusion
7:32 it's quite good clip drop is from
7:34 stability AI the company behind stable
7:37 diffusion and then prompt book The
7:39 openart.ai Prompt book that'll teach you
7:42 how to talk to these image generation
7:44 tools it's designed for stable diffusion
7:47 but it's really good for all of them and
7:48 then future pedia big pile of AI tools
7:51 like 4000 tools that you can go play
7:53 with all right so that's that if you
7:56 have questions pop them in the comments
7:57 I do my best to answer them every night
7:59 we have fun we we like to party we hang
8:02 out we uh I don't know we just we just
8:05 ramble on about generative AI but if you
8:08 have questions about it pop up below if
8:10 I can't answer it I try to be honest
8:11 about that
8:13 uh
8:14 I think that's about it so welcome
8:16 everybody
8:18 welcome welcome welcome welcome welcome
8:20 welcome welcome welcome
8:24 welcome
8:29 [Music]
8:32 okay let's go back and see what people
8:34 are saying
8:37 [Laughter]
8:41 uh
8:43 hi everybody hello hello hello
8:49 very very cute thank you woodsy hey Kyle
8:53 hey y'all hey Dr J what's shaking
8:55 I'm back from bashing him again who the
8:58 the scammer
9:00 freaking scammer I mean like if if I had
9:04 like millions of followers I get it like
9:06 I mean I have a pretty good following
9:08 but
9:09 is it really worth it I guess if you if
9:12 one person signs up I guess it's worth
9:14 it
9:17 for their stupid little scheme
9:19 but it sucks I don't like it uh can we
9:22 talk about how that guy pranked you
9:24 yesterday yeah so so listen listen
9:30 I fancy myself a clever fella and you
9:34 know things like could you page Mike
9:36 Hunt and you know things like that and
9:40 you know sweaty balls I normally catch
9:43 that [ __ ] but yesterday uh yeah
9:46 young young Dixon Mayas
9:51 had a birthday
9:53 and so I think I talked for 15 minutes
9:55 to Old Dixon young Dixon
9:58 and it wasn't until after that uh
10:01 Emilio's wife said hey why don't you try
10:03 repronouncing that name as if it were
10:06 four words
10:07 Dixon my ass dicks in my ass oh
10:12 so there you go
10:15 there you go the old man was had
10:19 the trolls were victorious the trolls
10:21 were out last night they weren't very
10:22 clever but old Dixon myez got there huh
10:26 so yes we can talk about it script six
10:30 uh
10:32 gotta look close it's lowercase and hard
10:34 to see the two L's I know it's a drag
10:36 hey man uh there's a personator yep a
10:40 view with double L's in the name I know
10:42 it sucks please report please report
10:45 them at your convenience I have
10:49 ah I finally found a thing where I could
10:52 write a note to tick tock and I said hey
10:54 Tick Tock this account's you know
10:57 scamming me and they hey hey hair growth
10:59 geek it was good good chatting with you
11:01 earlier
11:02 um
11:03 and I said this is happening can you
11:05 please deal with this and and they sent
11:06 me back the thing and said okay here's
11:08 the instructions you go to their account
11:10 and you click in the upper right hand
11:11 corner and then you say report and then
11:13 you say they were impersonating me and
11:15 then I responded yeah I've done that six
11:17 times and you've ignored me and they
11:19 haven't responded it's like come on
11:22 come on
11:24 all right I sent you a private message
11:26 about it thank you Sandra I do
11:28 appreciate it I do do appreciate it we
11:31 had a banger night last night we had 42
11:33 000 likes and and someone gave the uh
11:36 the uh what is it called the seal and
11:39 the whale jumping thing was [ __ ]
11:41 amazing but good Lord
11:43 my DeGeneres thank you all right let's
11:47 see
11:51 if you have questions pop them in the
11:54 comments below
11:56 will Nvidia earnings be dependent on AI
12:00 well
12:03 Nvidia seems to kind of have the core
12:06 the market cornered right now on AI so
12:11 you know
12:13 nvidia's played a really interesting
12:14 game right they they kind of
12:20 leaned into the gamer market and then
12:22 the gamer Market sort of bled into the
12:24 nft and crypto Market
12:26 and then is that faded out
12:29 it bled into the AI market and they just
12:32 pounced on that and it it sounds like
12:34 the infrastructure
12:36 for a competitor to be able to get into
12:38 the scene right now is really hard amd's
12:40 trying but I heard this on a podcast I
12:43 listened to on on Saturday where um
12:47 it's not just the chip it's not just the
12:49 GPU itself it's all the the control
12:51 chips and and the Assembly of the final
12:54 board
12:55 um there's all sorts of bottlenecks in
12:57 the supply chain still still hanging on
12:59 from covid and so it's really hard to
13:02 get these things you know not only
13:03 manufactured at a chip level but
13:05 assembled into the final boards that you
13:07 put into the machines and Nvidia seems
13:10 to have that like I I mean I suppose if
13:14 if generative AI just all of a sudden
13:17 you know if all of the the projects and
13:21 companies that just raised
13:23 you know billions of dollars each if
13:25 they all just kind of run out of money
13:27 and decide yeah we're not going to do AI
13:29 anymore then I think Nvidia would
13:31 probably have to make a pretty big
13:32 adjustment
13:33 uh
13:35 uh I don't see that happening I I just
13:37 don't see it happening
13:39 right
13:41 not not for
13:43 not the first for the foreseeable future
13:45 you know I don't see I don't see
13:50 a bottom falling out of AI like the
13:52 bottom fell out of blockchain and nfts
13:55 because the blockchain and nft stuff it
13:57 was too many crypto bro projects that
14:00 were just House of Cards and AI isn't
14:03 that this is more substantive stuff so
14:06 I don't know it's it Nvidia is an
14:09 interesting really interesting company
14:11 that that whole category is really
14:13 interesting came in late said no no you
14:15 just we're just getting started I just
14:17 started what time is it 8 17 started at
14:20 like 8 10. like seven minutes in
14:22 something like that
14:24 um wesn radio what else can they add to
14:27 chat EBT to make the 20 bucks worth it
14:29 um hey wesn radio
14:32 um tell me what kind of music you have
14:35 because when I say your name I want to
14:36 be able to say the kind of music
14:38 um why because I think it would be funny
14:42 um instead of like wesn Smooth Jazz 88.
14:46 um
14:47 what else could chatgpt add to make it
14:50 worth the 20 bucks well
14:53 as so so there's there's a couple of
14:56 things going on
14:58 um open AI just bought their first
15:00 company so so people are in here this
15:03 weekend you know Chachi BT's going out
15:05 of business they're going bankrupt it
15:07 was some article it was some speculative
15:09 article that basically you know did the
15:11 math and said uh open AI spending 700
15:15 000 a day which is probably true and
15:17 they said at this rate they're going to
15:18 be bankrupt by the end of 2024 which is
15:21 probably not true because there's going
15:23 to be other people in like No One's
15:24 Gonna let them go out of business so
15:26 they acquired a company this week uh
15:28 like a a World building it's like an
15:31 eight-person 3D World building kind of
15:34 game company
15:36 um
15:37 so what's that sound like well it sounds
15:39 like chat GPT is gonna start being
15:42 multimodal and really interesting thank
15:45 you for the for the music notes I
15:47 appreciate that
15:49 um
15:51 so
15:53 so let's see so so what could Chachi BT
15:56 do to make it more interesting well
16:00 they could get it back up to 32 000
16:03 tokens so gpt4 natively has 32 000 token
16:07 context window right now the chat GPT
16:10 site still only has I think four
16:13 thousand I think the API has
16:15 eight thousand or sixteen thousand
16:17 depending on the model you use so they
16:20 could bump that to 32 000 tokens they
16:22 could bring back
16:24 um
16:24 uh browse with Bing so it's connected to
16:27 the internet again although with web
16:28 pilot plug-in it's pretty much is
16:32 um
16:34 you know they could give Early Access
16:35 they they could
16:37 um make GPT for the current version
16:39 multimodal have it so that you can
16:41 upload images as well
16:45 um
16:45 they could improve code interpreter so
16:48 code interpreter right now it runs on a
16:50 fairly small
16:52 virtual machine instance and it can get
16:55 choked out on memory if you're if your
16:57 file's too big and it's also only
16:59 running Python and it's not connected to
17:02 the internet so I could see there being
17:03 a much more sophisticated code
17:05 interpreter and maybe they could hire a
17:07 branding person and don't call it code
17:09 interpreter but call it like magic
17:11 secret computer in the cloud or you know
17:16 whatever the whatever is something that
17:19 doesn't make it sound so flipping geeky
17:23 um
17:26 and and you know just give us access to
17:29 the latest things so
17:31 I don't I think they're training gpt5
17:34 right now or they were about to and then
17:37 they stopped oh that was the other thing
17:39 that I was gonna say so
17:42 open AI so they acquired a gaming
17:45 company today so that's interesting they
17:47 cut a deal
17:49 with Shutterstock
17:51 they cut a deal with the Associated
17:54 Press
17:56 Google is now starting to cut deals with
17:59 big media companies so I think there's
18:00 going to be a war I think we're entering
18:03 we're entering a war where it's not just
18:07 about these large language models you
18:09 know giving you whatever you want but
18:11 it's like giving whatever you whatever
18:13 you want
18:15 you know also tied to particular media
18:17 properties right so if I want to do
18:19 research for an article
18:22 um and open AI had a version of maybe
18:25 they had a pull down menu for chatpt
18:27 that you could just say I want I want
18:30 you to search I want citations from the
18:33 Associated Press
18:34 so like I feel like there's a there's a
18:36 fair amount of stuff that they could
18:38 just turn on right now well that they
18:39 can't turn on right now because they
18:40 gotta actually build something but but
18:42 they're starting to cut those deals so I
18:45 think that we're going to start to see
18:47 um
18:49 co-branded
18:51 media Partnerships where we're gonna get
18:54 news in a different way we're going to
18:56 be able to search historical news in a
18:59 different way
19:02 so yeah so I don't know
19:04 but I agree like you know the the 20
19:06 bucks is is I still pay for it I still
19:10 think it's worth it but I I think you're
19:13 I think you're in the right place to be
19:14 asking wait what am I getting for my 20
19:16 bucks chat GPT because I got clawed for
19:19 free and that's got a hundred thousand
19:21 token context window and it's kind of
19:23 GPT 3.5 good
19:26 now they rate limit you if you upload a
19:28 bunch of large files
19:30 once you get to about 15 or 20 they they
19:34 knock you down for 24 hours so that's a
19:37 pain in the ass there but it is free
19:40 um
19:41 you know Bings connected to the internet
19:43 Bing has can generate images can read
19:45 images where's that [ __ ] I mean you know
19:48 quite frankly open AI invented Dali the
19:52 image generation thing why is that not
19:54 more seamlessly integrated into
19:58 chat GPT
20:01 so there's lots they could do and they
20:03 should and they probably will
20:06 I think they're busy they're busy trying
20:08 to catch up with what the [ __ ] they've
20:10 Unleashed
20:13 uh
20:16 by the way if you're new here I totally
20:18 got
20:19 trolled last night
20:22 from me
20:23 from a
20:26 a fine young man named Dixon
20:28 bag of Dixon
20:33 [Music]
20:38 I'm trying to find my place in the
20:40 questions if you're wondering what the
20:41 hell I'm doing
20:44 [Music]
20:46 don't down
20:51 all right lots of hellos I love that the
20:53 Irregulars Irregulars I'll say hello to
20:55 one another that's super cool I like
20:57 that we're building a little Community
20:58 here a little Community we had we had 42
21:02 000 likes last night that was Insanity
21:04 you guys are crazy that was pretty fun
21:08 gamify on the channel uh sander reported
21:12 the the scammer account thank you have
21:15 you ever thought about streaming on
21:16 Twitch
21:17 what
21:19 if
21:20 if I had any skills I I haven't just
21:23 because I haven't been in the uh
21:25 in that in that world
21:29 I don't know tell me tell me what you
21:31 think the advantages would be Sandra I
21:33 don't know that world well enough I mean
21:34 I might
21:35 Troy Decker even an AI boy
21:39 you guys watching AI boy tonight
21:47 you know I feel it's it's funny I think
21:49 some of the other tick tockers some of
21:50 the AI
21:51 the the other AI tick tockers you know
21:55 they all kind of have their niches where
21:56 Mackenzie from GPT boss is is somewhere
22:00 between political and
22:02 and Technical
22:04 um Rachel woods with the AI exchange is
22:06 super business oriented super buttoned
22:08 up
22:09 and and AI learning Labs just devolved
22:12 into you know me acting like an idiot
22:14 every night
22:17 it's like AI
22:19 like dumb
22:20 Ed about AI
22:24 oh thank you very much for that karudo I
22:27 love that one
22:29 um
22:30 Chris
22:32 hey I saw that mid-journey added two new
22:34 features really let's go look let's go
22:38 to the videotape
22:52 uh I don't see anything there let me go
22:56 Barney oh no Smiths
23:00 hey everyone we're starting office hours
23:05 one small last quality of life thing
23:09 best SW now triggers weird
23:17 testing a new feature today called pan
23:19 that I've seen before what are the new
23:21 features to buy wait is it twice
23:24 what are the new two new features
23:27 weird oh wait
23:29 testing turbo mode
23:33 four times faster two times the price
23:35 new Mega
23:36 membership plan for 120 bucks a month
23:40 experiment's a weird command
23:43 that this was a while ago these are old
23:45 oh
23:47 I wasn't looking at the latest stuff
23:49 Jose
23:52 we're testing a new feature called very
24:02 it's not a mat what's it do
24:04 it will appear underneath upscales and
24:06 if you click it an editor will appear
24:09 and lets you re-roll a specific area of
24:12 the image oh that's interesting let's go
24:14 play with that let's go see
24:16 let's go let's go make us something
24:22 some in the I'm in the AI salons Discord
24:25 right now
24:29 all right so let's grab
24:32 oh I was I was I was trying to come up
24:35 with uh t-shirt images for you can make
24:37 money with chat every day
24:40 so these are all my experiments
24:45 that one that one didn't go to quite
24:47 good a plan but it's pretty funny
24:50 huh
24:53 oh good lord
24:56 so that one in the upper right that sort
24:59 of looks like me that sort of looks like
25:00 someone could be saying you can make
25:02 money
25:07 you find an image
25:11 I guess we could make one I don't feel
25:14 like making one
25:15 here we'll grab this nulling thing
25:19 oh yeah there's very very strong very
25:22 stable
25:33 so it's doing a remix of that image I
25:36 wonder what it's going to do with it
25:40 let's see what it does
25:44 I don't think these are I don't think
25:45 these are particularly new features to
25:47 bias what have I missed did I miss
25:49 something today
25:50 it's like it's like you do work for a
25:52 day you miss
25:54 well that's looking that's looking
25:56 rather
25:58 oh it's a brain it's not looking very
26:00 brain like for a moment so
26:04 we got here
26:09 [Music]
26:16 this is kind of cool yeah I don't know
26:18 what very did it just varied it a bit I
26:21 guess it maintained maintained the
26:23 composition
26:26 interesting
26:29 whatever happened to the six month pause
26:31 that Elon and those guys wanted well
26:33 chorizo interesting
26:38 um
26:40 my immediate thought when
26:43 Elon Elon said we should put a six month
26:46 pause on everything I mean this is the
26:48 guy that's like [ __ ] it let's launch a
26:50 rocket [ __ ] it I'll go by Twitter you
26:52 know this is the guy asking for common
26:54 reason I'm like something doesn't
26:56 something doesn't feel right there and
26:58 then a week later a week after he
27:00 declared
27:01 it would be wise for companies to have a
27:06 six-month pause in AI development he
27:09 took a shipment of 10 000 gpus and a
27:12 week after that he announced he was
27:14 going to start an AI company and then
27:16 two months later he launched x dot AI
27:19 which is you know a direct competitor to
27:22 open AI so
27:25 um
27:27 I think the the good thing that that
27:30 announcement did was it raised awareness
27:32 that that safety and Alignment is an
27:35 issue with these things Claude
27:38 um dot AI That's from a company called
27:40 anthropic they are thank you for the
27:42 hearty hearts
27:44 they are setting out uh to make you know
27:48 AI alignment the core of their mission
27:51 they've got this thing called the
27:52 Constitutional learning model which I
27:54 think is really interesting
27:56 um
27:57 so so I I you know and I think AI safety
28:02 has been something you know shortly
28:04 after that Jeffrey Hinton quit Google
28:06 and said you know I don't want to work
28:08 for a company where I can't just say
28:10 what I think is going on
28:13 um he said it's nothing about Google but
28:14 I want to be able to talk about AI
28:16 safety so so I think you know I think it
28:19 raised awareness I think it did serve a
28:21 purpose but I I think on its surface it
28:23 was pretty cynical at least from Elon
28:26 musk's point of view I know a lot of
28:27 other people signed it but
28:29 but for for musk in particular who was
28:32 kind of touting it I'm like really and
28:34 then a week later he's like yeah I'm
28:36 doing an AI company I'm like oh okay so
28:37 you wanted a six month pause on the
28:39 competitors so you could catch up got it
28:41 okay just [ __ ] say that you say
28:44 everything else you think like I I feel
28:47 like that one was just like why why Veil
28:50 that
28:51 motive but whatever I don't really care
28:55 I don't I don't have a billion dollars
28:57 so I can't give you know Elon any advice
29:00 on what he should do with his money but
29:05 man's a [ __ ] machine
29:08 what city are you in I'm in Denver
29:10 Denver Colorado
29:13 Rock Mountain high in Colorado
29:18 this is incredibly
29:20 anti-Semitic
29:23 what is
29:26 uh hip-hop and raw oh hip-hop and rock
29:29 and talk wesn
29:32 all right
29:34 all right I'll I'll come up with
29:36 something what's your what's your call
29:38 numbers
29:41 um is there an AI that can come up with
29:43 company names and logos well Chachi BT
29:45 can do company names like nobody's
29:47 business so start out and and tell it
29:50 that you want it to act like a uh
29:55 like a branding expert and then have it
29:57 interrogate you about what your
29:59 company's about
30:00 and have it give you 20 names or 30 and
30:04 then tell it okay I like 1 7 and 14 and
30:07 then give me 30 more that are like that
30:09 and then have it explain
30:11 why have it rank its own names have it
30:15 analyze its own names and and rank them
30:17 based on what you told them your
30:19 business is about and explain why it
30:22 ranked them the way it did
30:25 um you can you can get some you can get
30:27 some really interesting product names
30:28 very very quickly doing that kind of
30:30 stuff
30:31 is there an AI I can come up with
30:33 company names and logos and then logos
30:35 you can go play with uh mid-journey and
30:39 um Adobe Firefly if you've got access to
30:42 um you know to to photoshop Creative
30:44 Cloud
30:45 um Firefly could be could be good what
30:48 have you coded
30:51 what have I coded in terms of of AI
30:53 stuff I'm not an engineer I've
30:56 Incorporated
30:59 um open ai's whisper into my software
31:01 platform into storybine we do
31:04 interactive transcriptions using whisper
31:06 I've built a bunch of content generators
31:10 um
31:11 not really with code using using zapier
31:14 using automations
31:16 um I've got my development team right
31:18 now spinning up a visual interface for
31:21 Lang chain so we can start experimenting
31:23 with Lang chain
31:24 I've got two or three different Pharma
31:27 clients right now looking at doing pilot
31:29 projects where we go build some AI stuff
31:31 for them so
31:32 a little bit dipped around here and
31:34 there
31:35 and what would be wrong with geeky ain't
31:37 nothing wrong with geeky geeky's the
31:39 best I like geeky geeky's good I like
31:42 geeky it's so good
31:44 how does that answer my question which I
31:46 wait which AI
31:49 would you recommend
31:53 come up with names and logos
31:56 I think I just directly answered your
31:58 question I would go to chatgpt4
32:01 at chat.openai.com I'd pay for number
32:05 four or if you can't pay for it go to
32:07 Bing which is gpt4 as well
32:10 and then I would use mid-journey for the
32:13 logos if you want a specialized tool
32:15 just to do names and logos then I would
32:18 go to futurepedia.io if it needs to be
32:21 AI
32:24 um but just to do names and logos
32:26 there's all sorts of sites that do names
32:28 and logos so I again I wouldn't
32:32 it doesn't matter that you have a I do
32:34 it or some other tool do it what what
32:35 matters is what are you trying to
32:37 accomplish so
32:39 you know
32:42 you gotta what what you can do with
32:44 these things you get you can have these
32:46 things act like a branding expert and
32:47 have them guide you how to give you
32:50 enough how to give it enough information
32:52 to be able to make good names
32:56 all right let's say let's say let's see
33:00 let's say
33:01 all right all right all right
33:12 looks like my mic is open
33:15 wait looks like my mic is open
33:18 he's not a game
33:19 I am a game uh sorry just what's his
33:24 name just dump me to the bottom
33:27 again Tick Tock just W bottle ah the
33:30 partner what's happening
33:32 what's happening
33:34 uh
33:38 um okay
33:44 so how can you do a search and get all
33:46 news not
33:48 curated companies
33:51 how can you do a search
33:54 and get all news not curated companies
33:57 I'm not quite sure what you mean wesn
34:01 do a search and get all news not curated
34:04 companies
34:12 um I mean I would I would play with Bard
34:14 and Bing the ones that are connected to
34:16 the internet
34:19 that could even be something that you
34:21 could
34:22 experiment with pi although pie so
34:26 chatty that might be really annoying
34:30 um
34:32 I I don't quite know what you mean
34:35 all new like you want all news based on
34:37 what
34:38 Mike Rowe still likes Bing I like Bing
34:41 but um it was hair hair growth geek on
34:44 her she was doing a live earlier and she
34:46 said she went into Bing and Bing was
34:48 like not getting it not getting it and
34:50 she was trying to get Bing to do it and
34:51 at some point Bing just was like no no
34:54 I'm not We're not gonna have this
34:55 conversation anymore let's just shut her
34:58 down I've had to do that to me too I
35:00 kind of gave it a snarky response at
35:02 some point it was just like no we're not
35:03 gonna do this
35:05 so
35:07 very strange
35:09 um
35:11 let's see he's not a game
35:14 you're a funny guy he's a funny guy
35:18 enough comedy jokes Kyle are you going
35:21 to burning man it looks like they they
35:23 closed down Burning Man the Playa the
35:26 Playa was a lake uh and apparently if if
35:29 it rains on on a la playa they they
35:31 close it down to traffic and then
35:33 apparently the road going to burning man
35:36 turns into a giant skinny party
35:39 like a long a long skinny party
35:43 I have not been to burning man I'm not
35:46 going
35:47 it looks cool but
35:49 um you know a little long of the tooth
35:51 the guy we bought our house from used to
35:54 be like a Catholic priest and now he's
35:56 going to he goes to Burning Man all the
35:58 time he's a trip but no I haven't been
36:02 I like I love the photographs from it
36:04 though
36:06 cool pic of you I think screensaver
36:09 hmm
36:12 cool pic of you screensaver
36:15 I don't I don't know what you mean
36:19 uh you make a difficult
36:21 for AI to reproduce you yeah why because
36:25 I'm So Random yeah it's oh by the way so
36:29 I played with we were talking to Bob
36:31 last night Robert who's like I've been
36:33 here five times and you've never
36:34 answered my question and I finally
36:35 answered this question about uh
36:38 synthesizing his voice and I and I
36:40 recommended he play with iOS 17. so I
36:45 played with iOS 17. it's really weird
36:47 how you use it like it's not intuitive
36:49 at all it's very non-apple it's you know
36:51 it's very much a specialized
36:52 accessibility tool
36:55 but the way it works you go into
36:57 accessibility it's an iOS 17 beta it's
37:00 only in beta right now
37:03 you go into speech and then personal
37:06 voice and then you say set up a personal
37:08 voice and you can set up as many as you
37:10 want
37:10 but then you answer 150 questions you
37:14 repeat 150 phrases so it's it's like a
37:17 long process like 20 minutes for for
37:20 someone with 80d it was it was like
37:22 torture after 30 and I just was like
37:24 [ __ ]
37:26 and I just kept going and going and
37:28 going so I finally got it done and then
37:30 it takes like three or four days to
37:32 process and it's it's kind of opaque and
37:34 weird it's not super quick
37:37 and then so I went and checked on it
37:39 yesterday and it's sort of it like it
37:43 looked like it had worked but I couldn't
37:44 get it to work and when I tried
37:47 I didn't know how to use it and then so
37:49 how you use it is you triple click your
37:51 the lock button
37:53 and it brings up a thing and you can put
37:56 in some pre-written phrases which is
37:58 kind of cool so I put in you can make
38:00 money which at gbt I put in that and
38:03 then you can type in stuff and then
38:04 it'll talk it in your voice
38:07 it's not as good as 11 labs
38:10 like I was really disappointed after all
38:12 of that [ __ ] input
38:15 it was like crunchy and super monotone
38:18 and and like when I first heard it I'm
38:20 like
38:21 is that even my voice that is
38:24 synthesized and then the more I listen
38:26 to it I'm like oh yeah it is
38:28 and then I I took the same phrase and I
38:30 did it in you know the iOS personal
38:33 voice thing and I popped over to 11 labs
38:37 for my synth version over there and that
38:39 only took like I recorded one paragraph
38:41 uploaded it to 11 labs and like a minute
38:44 later it's created your synthesized
38:46 voice and it's pretty good
38:49 um
38:49 so so 11 Labs was better
38:52 pretty pretty significantly but
38:55 the thing about the the Apple stuff is
38:58 it's built into the operating system so
39:00 as an accessibility feature no matter
39:01 what app you're in or if you're on a
39:03 call with someone a FaceTime call and
39:05 you can't talk you can just type in and
39:08 it it will speak in your voice so for
39:11 what it is it's good but I was actually
39:13 I I was
39:15 I was surprised and disappointed that
39:19 the level of execution on that was as
39:22 poor as it was
39:25 because for something sounding that
39:26 shitty they don't need 150 phrases now
39:29 maybe it'll get better over time maybe
39:31 just because it's in beta preview they
39:33 don't really give a [ __ ] and they're
39:35 doing it on sub-optimal something or
39:37 other but
39:39 oh in painting wait mid-journey did in
39:42 painting
39:43 retro Punk really
39:45 why did I not see this
39:52 maybe I'll go over the to the Twitter
39:55 let's get over to the x
39:58 .com
40:02 I heard they were going to do in
40:04 painting but I didn't see it
40:07 uh mid is it trending
40:11 The Bachelorette and Bubba Wallace are
40:13 trending
40:14 Bubba Wallace he was serving burgers at
40:18 a local McDonald's he's sponsored by
40:20 McDonald's that was pretty funny uh Mead
40:22 a journey and made the journey made a
40:26 journey in a painting
40:29 in painting
40:35 finally mid-journey releases in painting
40:37 wait how do you do it
40:40 we've been waiting for this for ages
40:41 important don't forget to enable remix
40:44 option
40:46 oh
40:49 so wait how does it work
40:57 wow
41:22 all right so let's go generate something
41:25 all right so we're gonna go slash
41:27 imagine
41:29 so if you haven't seen mid-journey
41:30 before this is this is how you do it so
41:32 we're in Discord you type slash imagine
41:34 and we say
41:36 um let's see uh
41:40 Flash
41:41 flood
41:45 um blasting through
41:50 Burning Man
41:53 Festival
42:08 did that cost a substantiated fee when
42:11 you did the world coin
42:13 Iris thing in New York no it's free
42:16 it was free and in fact
42:18 had I not been an American with an SEC
42:22 um I would have gotten free
42:23 cryptocurrency so I would have made
42:25 money by getting my world ID had I not
42:28 been an American
42:31 all right this is a flash flood blasting
42:33 through Burning Man
42:35 that's cool it actually did some Burning
42:37 Man kind of stuff
42:39 and it kind of looks muddy like it would
42:41 be those are kind of cool
42:43 all right are they done yeah all right
42:45 so let's pick the top one here
42:48 we'll do upscale one
42:55 a very region
42:59 okay
43:03 okay so when you upscale an image you
43:05 click the very region button and then it
43:08 says select the area to be changed
43:10 and so I'm going to select this area
43:13 down here
43:16 when you're ready edit the prompt to
43:18 describe the new image so I'm going to
43:20 say
43:21 red
43:23 tricycle
43:26 A rad tricycle red tricycle
43:30 with
43:32 donut Wheels
43:37 all right
43:40 this is kind of cool
43:43 look we're learning it's the learning
43:45 lab and we're actually learning we're
43:47 learning in real time
43:49 nothing I like doing better than
43:52 absolutely having no idea what I'm doing
43:55 in front of lots of people yay you did
43:58 it yay would you give a shout out to
44:02 Dixon Mayas
44:05 sure
44:08 all right
44:10 there's sort of tricycles
44:14 that one doesn't have anything that
44:16 one's got not quite a tricycle
44:21 that this bottom one let's do some
44:23 variations of that bottom one so we'll
44:24 do variations of three
44:41 how do I join the Discord
44:43 um okay I'll
44:45 I'll tell you there's two there's two
44:47 things I'm doing right now I'm playing
44:49 within the AI Salon Discord
44:53 oh this is oh this is interesting so
44:55 when I said I wanted variations of it it
44:58 only kept my
45:01 my in painting prompt it didn't keep the
45:03 larger prompt but it's I actually like
45:05 where it's going better I think it's
45:07 actually kind of cool
45:12 yeah like like let's upscale number four
45:14 that's pretty slick
45:18 it's got kind of a burning man vibe to
45:20 it doesn't it that's kind of cool
45:24 The Donut Hut and the big cruiser bike
45:28 um Okay so
45:30 I'm in the AI salon so a couple of
45:32 things if you want to join a community
45:35 that's
45:36 trying to figure all this AI [ __ ] out
45:38 go to
45:41 the salon.ai and that's a group I
45:44 started back in December I think
45:46 and we have a Discord server so there's
45:49 a link tree there
45:50 and you just go to that link tree and
45:53 you can join the Meetup we beat every
45:55 other week in person here in Denver and
45:57 then online and then we have a Discord
46:00 server where you can kind of geek out
46:01 you can use mid Journey so that's that's
46:03 where I've been doing my images
46:05 and then if you want to join the mid
46:07 Journey Discord you go to midjourney.com
46:13 midjourney.com
46:16 I want to show you guys something that
46:18 you may not know that I just kind of
46:19 rediscovered
46:28 all right so this is mid-journey so it's
46:30 a website great
46:32 down here in the corner they they
46:34 haven't worked a lot on their their uh
46:36 their user interface or experience this
46:39 little button called join the beta if
46:41 you click join the beta that'll take you
46:42 to their Discord server and you can sign
46:44 up if you if you're not signed up for
46:46 Discord you can sign up there but you
46:47 can sign up for their server there
46:49 but what you can also do here is if
46:53 you've already got a mid-journey account
46:54 you can sign into the website
46:58 and rather than having to go look for
47:00 all your images in
47:03 um
47:05 in uh
47:08 Discord you can see them on the website
47:10 hang on I have to hop over to an
47:11 authenticator can you all see me here we
47:14 hear me we good
47:20 hopefully so
47:23 so here's so like there's the two images
47:26 that I just created so any image that
47:28 you upscale automatically get dumped
47:30 into your website so this is like the
47:32 whole history of everything I've ever
47:33 done in mid-journey which is kind of
47:35 slick because
47:37 when you're in mid-journey when you're
47:38 in Discord like a lot of times
47:40 especially if you're in the Discord
47:41 channel one of the reasons I like doing
47:43 mid-journey within the AI Salon is that
47:46 there's not a lot of traffic there so
47:48 you don't have people like competing for
47:50 for the bottom of the Discord chat
47:54 um but what's nice about about this is I
47:56 can just go look at you know my entire
47:58 history of
48:00 look at that cool chair
48:03 that thing's super cool
48:05 it was a a Star Wars themed uh like
48:08 Furniture thing I think I did that on on
48:10 one of the lives here
48:13 there's I did Yoda when I was doing the
48:15 the Bots for Poe I did a Yoda bot
48:21 so anyway super cool to be able to just
48:24 go back and see the stuff you've done
48:32 groovy right
48:37 up up
48:43 Stevo what's up dude hey everyone made a
48:46 new Avatar on mid-journey yesterday
48:51 one to ten what do you mean one to ten
48:54 I don't know what one to ten means
48:55 that's cool
48:59 oh I can't see your mid I can't see your
49:01 avatar in here it's it's like this it's
49:03 a teeny it's teeny
49:06 no it looked too no what what no Siri no
49:12 go away
49:14 no I don't like Siri I don't like Siri
49:19 in painting only works with the Discord
49:21 app not in the browser yeah I figured
49:24 I figured yeah the browser you can't
49:26 generate anything in the browser I think
49:28 you can just view it right
49:32 yeah
49:34 apparently they're working on a web
49:36 interface to be able to generate stuff
49:38 it's just not here search prompts or job
49:41 IDs
49:43 sorry I missed you in New York City oh
49:45 dear Joy what's happening what's
49:46 happening Ace how are you
49:49 I would have talked to you talked you
49:51 out of your world code data thing never
49:53 never
49:54 I dug in I got it here look look I'll
49:57 show you it's cool
49:59 I don't I don't care let's just
50:03 it's just data I've given up my data so
50:06 many decades ago
50:09 I just assume it's all done so what what
50:12 Ace is talking about is I went to New
50:16 York City and I got this
50:19 World coin World ID so this is Sam
50:21 Altman's new company and you see you
50:24 actually scan your iris they grab your
50:27 biometric data and they compare you
50:29 against their database of other humans
50:31 and they measure your your uniqueness
50:34 versus the other humans basically if
50:36 you've done this before if you've gotten
50:38 a world ID before you know you can't get
50:40 two so it makes it singular and and make
50:43 sure that it's Unique and then you get
50:45 this card and if you flip it over it
50:48 it's the uh you've got your basically
50:50 your wallet address so it's an nft
50:52 and then in theory this will be a whole
50:56 infrastructure that applications will be
50:57 built on top of
50:59 and you'll be able to use this to as as
51:02 access basically and verification that
51:04 you are who you say you are without
51:06 having to give up your name right so
51:08 it's identity lists
51:11 identity very well humanness
51:13 verification it just it verifies that I
51:15 am human but it doesn't really give a
51:17 [ __ ] who I am
51:20 um when you create a new image in
51:21 mid-journey there's now a region button
51:25 lets you change the area within it
51:28 so is that that thing that I just did
51:30 the uh it wasn't called region it was
51:33 called very oh maybe it did say very
51:36 region yeah it does region yep the
51:39 region button
51:40 yeah that's super cool
51:43 super cool
51:45 I'm gonna add a pterodactyl in the sky
51:52 uh Terror in dactyl
51:58 spelled very wrong
51:59 flying
52:01 all right let's see if it does that
52:08 hi Dr J is still able to talk Dutch
52:15 Dr J responds
52:18 just a little bit
52:20 well no he responded
52:31 just a little bit that's very cute
52:35 um
52:38 I was 63 on the first of the month happy
52:41 birthday
52:43 happy birthday I am what am I now I'm 58
52:46 I think
52:48 I don't [ __ ] know you get you get
52:51 once you get to these ages like unless
52:53 it's unless it's one of the Decades you
52:56 know
52:57 doesn't really matter
52:59 doesn't really matter anyway uh I don't
53:01 think that that I'm old at 59 just old
53:04 compared with people I collaborate with
53:05 yeah I'm I'm the same way Winston I mean
53:07 it's you know I really do feel like the
53:10 the uh this generative AI stuff is going
53:12 to be revenge of the Gen xers where
53:14 having some decades on this planet is
53:17 going to serve you well
53:19 um because you're going to be able to
53:20 look at the output of
53:23 this generative AI stuff and be able to
53:25 really quickly
53:27 um curate it and and refine it and just
53:30 from having been on the on the planet so
53:32 I think it's going to be an advantage
53:51 all right all right all right all right
53:54 let me pop this back up here wait not
53:56 that that
53:59 all right so if you're new here if you
54:01 haven't played with chat GPT
54:04 why I have these
54:07 URLs up on screen chat.openai.com is the
54:10 official chat gbd website if you've not
54:12 played with that go play with that go
54:14 right now and do that and then
54:16 prompts.chat will teach you how to do
54:19 that it'll teach you what these things
54:20 are Claude and Bing are both kind of
54:24 you know competitors or Co-op Edition
54:26 kind of
54:27 Partners uh to chat GPT all three of
54:31 those have something interesting to
54:32 offer so just go play there while I'm
54:33 while I'm chatting Kyle you're prophetic
54:36 just as you were doing The Burning Man
54:37 flood downpour in Phoenix now it's it's
54:41 we're connected here we've got we've
54:44 we've got we've got connections you know
54:46 what I mean hey you know sometimes you
54:48 you call in a little favor they drop a
54:51 few buckets of water you know everyone's
54:53 happy
54:54 you got to keep it going
54:56 uh
54:58 the AI Salon Discord yeah go to the
55:00 salon.ai and the link to the Discord is
55:03 in there
55:05 but I guess it's not being the oldest
55:08 oh
55:10 oh is it a competition everything's a
55:12 competition everything's a competition
55:17 10 000 K likes Good Start wow we're up
55:19 to 16 000 likes you guys are insane
55:21 thank you
55:24 restart the Discord app
55:26 oh why oh does oh to give you wait I
55:31 think but I think I saw this stuff I
55:32 think that was old but I'll restart it
55:34 anyway
55:39 Discord
55:43 you know it's got to be disconcerting if
55:45 if you don't like hang out with me a lot
55:47 I know that I respond to I respond to
55:50 comments from like a conversation I was
55:53 having 15 minutes earlier and then
55:55 someone commented on it down below and I
55:58 just respond to it as though everyone's
56:00 paying attention to what I'm saying so
56:02 I will acknowledge that that's probably
56:04 pretty annoying
56:07 but you know what are you gonna do
56:10 hey there's there's some news items uh
56:13 retro punk in painting is here okay here
56:15 we go
56:16 got it in painting mid Journey hey
56:19 irregular fam
56:21 hey y'all
56:24 hey AI llers
56:27 you Irregulars
56:31 that's awesome
56:33 did it put a
56:35 it didn't put a pterodactyl in the sky
56:37 because I spelled it wrong
56:40 all right look at all those likes you
56:42 guys are you guys are kick it you just
56:44 kick it uh is this getting cool wait is
56:47 it getting cooler in the mile high city
56:48 I remember the temp dips in the 50s 40s
56:50 in Estes Park at night
56:53 um Clint no
56:55 it's like it's 100 degrees today I mean
56:59 I've been here now for 14 years I can't
57:01 believe I've been here 14 years that's
57:03 just [ __ ] insane
57:05 um
57:05 but like the summer you you would have a
57:08 two to three week stretch where it might
57:11 get in the 90s
57:12 but like we've had months it was it
57:16 first of all the beginning of the year
57:18 it rained like we were in Florida
57:21 and then
57:22 it just stopped yeah it's still a little
57:25 warm out it's still like 80 degrees F
57:27 wait let me see what see what yield
57:29 watch says yeah 87 degrees at what time
57:32 is it nine o'clock at night so it's very
57:35 not Denver like right now
57:40 you got it now okay cool good uh no
57:43 burning man I'm taking my prepaid rent
57:45 an RV and I'm gonna be on your doorstep
57:47 in Colorado there you go road trip
57:50 irregular road trip
57:53 uh
57:55 uh I like everyone that I have chatted
57:57 with in here don't really care about
57:59 their age yeah I know it's that's cool I
58:02 mean that is one of the one of the nice
58:04 things about you know on the internet no
58:07 one knows you're a dog is that
58:12 if if you've got if you've got the right
58:14 kind of community where you can just
58:17 you know you've got a clear reason to be
58:19 there it doesn't really [ __ ] matter
58:21 what age you are
58:22 like and that's the the whole point of
58:24 the AI Salon is like the only real
58:26 prerequisite there is be curious about
58:28 generative Ai and you know contribute
58:31 the if you go to the salon.ai if you go
58:35 to this address
58:37 right here
58:39 um the first link there is what the AI
58:43 salons all about it's kind of a mission
58:45 statement it's it's a thing that I wrote
58:46 that's got our values in it and the
58:49 values are things like you know
58:50 generosity and curiosity and empathy and
58:54 you know
58:55 so so yeah like that's that that's the
58:58 whole point if we if if you can do the
59:00 community right where
59:02 I don't know there's a there's a sense
59:05 of humanity and empathy
59:08 um and curiosity
59:10 then I think we're going to be able to
59:12 help each other it's like this this
59:15 I I don't know I I just feel like the
59:17 the the changes that are coming are
59:19 going to be brutal enough so why don't
59:21 we create a little space where we cannot
59:23 be [ __ ] to each other
59:25 feel free to be
59:27 like ignorant and new and just starting
59:30 right like you know I don't want this to
59:32 ever feel like if someone comes in like
59:34 oh they're they're Way Beyond where I am
59:37 like we're all trying to figure this
59:39 [ __ ] out and and even if you think you
59:41 have this [ __ ] figured out three months
59:42 from now all these tools are going to be
59:44 different so it's like if I mean honest
59:46 to God what did I I didn't pay attention
59:49 for eight hours today and mid-journey's
59:51 end Painting came out it's like you know
59:55 so yeah that's the whole idea here so I
59:58 think that's super cool
1:00:00 um just got here
1:00:03 no that was a it was it was not a bfm
1:00:06 riot although thank you for trying to
1:00:09 inject politics into the conversation it
1:00:11 was it was burning man which you know
1:00:13 you could probably easily demonize the
1:00:16 people that go to Burning Man too but
1:00:19 please don't we don't I don't like that
1:00:21 in here at all
1:00:25 if it's about AI cool
1:00:29 closest I'll get is what's the
1:00:31 government doing to regulate this [ __ ]
1:00:33 and that's even a
1:00:34 slippery slope
1:00:37 yeah let's go Lori thank you so much for
1:00:41 the cheers
1:00:42 but I guess it's nice not being the
1:00:45 oldest
1:00:46 uh good evening everybody what's the
1:00:50 current waiting time well I'm 24
1:00:52 messages behind I don't think there's
1:00:54 been a ton of of messages so I don't
1:00:57 think we're that far behind uh [ __ ] [ __ ]
1:01:00 lol
1:01:04 that's like dicks in my ass
1:01:07 that's a funny name
1:01:09 uh um it's 22.51 uh
1:01:15 [Music]
1:01:16 you are back at 10 51 Eastern okay I
1:01:20 agree sander Australia
1:01:23 Nancy hello
1:01:25 welcome welcome welcome
1:01:28 this is the best group thank you share
1:01:30 bear I appreciate that yeah I'm digging
1:01:33 this group I feel like there's a whole
1:01:35 thing happening that uh that's neat I
1:01:38 like it I dig it I dig it
1:01:40 my hair is kind of cooperating tonight I
1:01:42 need a haircut don't I it's it's it's
1:01:44 time it's time oh boy
1:01:47 that looks like some sort of oh okay 80s
1:01:51 carpet salesman
1:01:56 there you go thank you much better
1:01:58 [Laughter]
1:02:00 uh on one of your videos on Tick Tock
1:02:04 about agencies you say watch this video
1:02:08 and I don't see a link in
1:02:12 huh
1:02:15 where I talk about agencies
1:02:20 and you say watch this video
1:02:24 oh
1:02:26 okay there is a link in there it's a
1:02:29 duet so and I might have done it wrong I
1:02:32 think it was one of my first Duets so
1:02:35 the first five seconds of that video is
1:02:38 someone talking about
1:02:41 um
1:02:45 I think they were talking about a small
1:02:47 agency that did some work really quick
1:02:49 or something like that
1:02:52 and then I said this is a big thing and
1:02:54 I so I said go watch that video so in my
1:02:56 in the in the description of that video
1:02:58 there's a hyperlink to that other
1:03:01 to the other video
1:03:03 so it's it's in there it's just tick
1:03:06 tock's interface is
1:03:09 you know
1:03:11 we can't say bad things because they're
1:03:12 listening but they don't really listen
1:03:14 or they would get rid of the scam
1:03:16 account that's stolen all of my content
1:03:19 right tick tock
1:03:21 so we don't really listen we just
1:03:23 selectively listen so that if I say one
1:03:26 of the words that's on your trigger list
1:03:27 you shut me down for seven days but if
1:03:30 someone actually steals my content
1:03:32 that's good
1:03:34 not an issue there don't see an issue
1:03:37 there the content looks awesome well
1:03:39 thank you that's a compliment I do
1:03:41 appreciate that
1:03:45 algorithmic governance is a thing that
1:03:51 yeah
1:03:53 because you know
1:03:56 I could see there being a trajectory and
1:03:59 this is [ __ ] terrifying this is one
1:04:01 of the ways this is one of the ways it
1:04:03 goes south I can see there being a
1:04:05 trajectory where our politicians get you
1:04:09 know continue down their path of
1:04:13 corruptness and deception and and uh you
1:04:18 know cynicism
1:04:19 and the country gets frustrated enough
1:04:22 that
1:04:24 someone from San Francisco will come up
1:04:26 with an AI
1:04:28 generated self-governance
1:04:31 platform
1:04:33 and over a decade we'll just sort of
1:04:36 give up
1:04:37 the political system for an AI generated
1:04:40 system where it's just AI governance and
1:04:43 we just vote that way and everyone's
1:04:45 happy happy happy and then it'll be [ __ ]
1:04:49 like what happens on Tick Tock where I
1:04:51 say one word I get booted for seven days
1:04:53 someone steals my [ __ ] account and
1:04:56 they're fine for weeks and they can scam
1:04:58 you know all of my community members
1:05:01 that's fine right I could see if I could
1:05:04 see that as a trajectory but let's not
1:05:06 do that let's let's let's do some actual
1:05:08 uh
1:05:12 sorry yeah
1:05:16 all right I can't I just can't
1:05:20 um love the Dutch that was really good
1:05:23 Kyle will work on on your accent yeah I
1:05:26 know yeah yeah we need to work on many
1:05:29 many things of mine when it comes to to
1:05:31 uh foreign languages I'm horrible at it
1:05:36 here's my problem here's what here's
1:05:38 what what [ __ ] me up with foreign
1:05:39 languages there were two things one was
1:05:42 I just didn't care right like you gotta
1:05:44 you actually have to have a passion for
1:05:45 it to be good at it
1:05:47 but the second was
1:05:48 in my high school we had a language
1:05:50 teacher she taught French Latin and
1:05:53 Spanish
1:05:54 we called her spitter Ritter
1:05:57 whenever she talked the spit the spittle
1:06:00 from her mouth would sort of gather in
1:06:03 the corners of her mouth and turn into
1:06:05 these white Globs and then as she was
1:06:07 talking they would migrate to the center
1:06:09 of her lips and when she would say a pee
1:06:11 they would shoot into the audience or
1:06:14 into the classroom so anyway
1:06:17 Ole Miss Ritter she thought that
1:06:19 vocabulary was more important than
1:06:22 grammar
1:06:24 and so every week we would have a 20
1:06:26 word vocabulary test that counted for
1:06:29 like
1:06:30 65 percent of the grade or 70 percent of
1:06:33 the grade it was ridiculous and so all
1:06:35 my buddies and I we got really good at
1:06:37 writing the 20 words like really small
1:06:40 pieces of paper on our palms and so we
1:06:44 always got a hundred on the vocabulary
1:06:46 tests and then we would fail all of the
1:06:49 actual knowledge tests so I took Latin
1:06:52 Spanish and French and I did that in all
1:06:55 three of those and I didn't learn a
1:06:56 [ __ ] thing so there you go
1:06:59 smarter you know too smart for my own
1:07:01 good literally
1:07:04 I game the system and I won and that's
1:07:07 why I'm a clueless American I only speak
1:07:10 English words
1:07:19 any idea when World coin is coming to
1:07:22 Canada no idea Laura um
1:07:24 it I mean it's only in three cities here
1:07:26 in the states which is weird I mean I
1:07:28 think they're just if you go to the
1:07:30 world coin site I think it's
1:07:32 worldcoin.org or is it hang on let me
1:07:35 see what it is
1:07:39 yeah worldcoin.org so if you go to
1:07:41 worldcoin.org
1:07:44 how many are there now
1:07:47 yeah so not a lot of people are doing
1:07:49 this there were two million two hundred
1:07:50 and something when I was in New York
1:07:53 and there's just two million 249 right
1:07:56 now it like it looks like it's going up
1:07:57 about
1:07:58 one per second
1:08:01 um
1:08:02 but if you go look at like World ID
1:08:06 and World app it's a lot of this is for
1:08:09 developers a lot of this is you know an
1:08:12 SDK and a passport and
1:08:20 it looks like World coin is not even
1:08:22 live on the site right now so it's it's
1:08:25 all very very new
1:08:27 um
1:08:30 you know I would assume that probably
1:08:32 starting
1:08:35 you know January 2024 they'll probably
1:08:38 start to roll it out a bit more but I I
1:08:40 don't know I just pay attention to the
1:08:41 site occasionally
1:08:43 no idea no idea unfortunately no no no
1:08:49 no no no no no no no
1:08:50 wow we're up to 24 000 likes already you
1:08:54 guys are just weird
1:08:55 well you're irregular so I suppose
1:08:58 you're living up to the brand
1:09:02 um you are back at 10 51 oh wait I'm I'm
1:09:05 down too far all right
1:09:12 I've learned a couple of good sentences
1:09:15 to an American buddy of mine digital
1:09:19 experiences most definitely an advantage
1:09:21 with the Advent of AI absolutely Winston
1:09:24 just sent you a Galaxy thank you for the
1:09:27 hearty Hearts that's pretty cool it's
1:09:29 just like it's just like this warm and
1:09:31 fuzzy sort of little parade of Hearts
1:09:33 over here it's very fun
1:09:34 [Laughter]
1:09:38 Silver Fox New Hampshire lawyers and
1:09:40 British British Columbia
1:09:43 it's earlier there
1:09:45 Kyle you happy with the shirt tonight or
1:09:48 are we doing Switcheroo shortly now I'm
1:09:50 happy with it because I can read the I
1:09:53 can read the comments up in this section
1:09:54 it's hard if I put it over the letters
1:09:56 but it's Sugar Ray Robinson
1:09:59 Basquiat I like it
1:10:04 um sorry I'm going insane over a
1:10:07 mid-journey in painting yeah I mean
1:10:09 listen mid-journey is just amazing
1:10:12 they've got it they've gotta get a real
1:10:15 interface they have to like we can't
1:10:17 they they gotta get it off Discord
1:10:19 they've got to get mid-journey off
1:10:21 Discord this is [ __ ] ridiculous at
1:10:22 this point I get that they're only an 11
1:10:24 person company or like their company is
1:10:27 is
1:10:28 staggeringly small for the quality of
1:10:30 work and and the quality of awareness
1:10:33 within the AI Community uh it's quite
1:10:36 impressive that part's impressive but
1:10:39 the
1:10:39 [ __ ] have a uh having it on Discord
1:10:42 that that shit's got to go like like you
1:10:45 know six months ago
1:10:49 yeah
1:10:52 Leonardo someone needs to do well
1:10:54 mid-journey needs to do Leonardo like
1:10:57 Leonardo did for stable diffusion
1:10:59 someone needs to do that for mid-journey
1:11:00 oh yeah
1:11:03 thank you for the shades
1:11:05 I like the shades very 80s
1:11:09 I like the way you go through everyone's
1:11:11 comments in order it'll be real good
1:11:13 thank you very much most people [ __ ]
1:11:15 hate it because they're like why don't
1:11:17 you answer my quest you need to answer
1:11:19 my question I don't like that he didn't
1:11:21 answer my question why wouldn't he
1:11:22 answer my question I've asked that 37
1:11:24 times
1:11:26 I don't even think he's live do you
1:11:27 think he's live I don't think he's live
1:11:29 he's definitely not live he hasn't
1:11:31 answered any questions what questions is
1:11:33 he answering
1:11:35 he probably thinks we landed on the moon
1:11:38 you know the Earth's Hollow right
1:11:44 yeah
1:11:46 all right 136 here in Lawrence Kansas
1:11:49 yeah I the the weather right now is just
1:11:53 stupid
1:11:55 your delay is cheating the AI delays
1:11:57 analysis
1:12:02 um all this time I've been watching your
1:12:03 lives I was wondering when you would
1:12:05 break into Hawaii Five Oh Rift
1:12:13 foreign
1:12:17 it's just
1:12:18 here's one of the problems with these
1:12:20 lives is that I'm getting comfortable
1:12:21 enough now that like this is just kind
1:12:23 of how I am
1:12:25 it's probably not good like there's less
1:12:28 and less of a filter
1:12:29 it's just not good although the hearts
1:12:32 keep going apparently apparently
1:12:35 someone's enjoying the hearts I think
1:12:37 it's just the Irregulars at this point
1:12:39 are now having a game trying to get the
1:12:41 counter to tick up to try to beat last
1:12:43 night's score which is hilarious
1:12:48 um
1:12:49 20K we're almost up to 30k right now yo
1:12:53 weirdos I got pulled over in Hawaii
1:12:56 and it was really a Camaro awesome
1:12:59 uh what are your thoughts on the New
1:13:01 York Times possibly suing open AI yeah I
1:13:06 think
1:13:12 didn't
1:13:13 Google just cut a deal with the New York
1:13:15 Times
1:13:29 yeah they did 100 million dollar deal
1:13:31 okay so so here's what's going on Google
1:13:35 because Google has
1:13:37 kind of an infinite amount of money to
1:13:39 play with
1:13:42 start cutting media deals and they're
1:13:46 going to probably try to get exclusive
1:13:47 media deals that this sort of [ __ ] this
1:13:50 this sort of [ __ ] started happening
1:13:53 in like 97 and 98 with the World Wide
1:13:56 Web where everyone started cutting these
1:13:57 deals and and you know like timing had
1:14:00 this thing called Pathfinder where they
1:14:02 were trying to consolidate all their
1:14:03 brands into this thing and everyone
1:14:05 started positioning and and you know
1:14:09 MSNBC there was MSN and NBC and they
1:14:12 made MSNBC like you you probably don't
1:14:15 know that started as an internet you
1:14:17 know media relationship play there were
1:14:20 tons of these things you know AOL was
1:14:23 cutting media deals where you know this
1:14:25 AOL channel was going to be the
1:14:27 exclusive distribution channel of this
1:14:30 media Outlet
1:14:32 and so we're starting to see the
1:14:35 beginnings of that so
1:14:37 the fact that Google
1:14:39 cuts a hundred million dollars deal with
1:14:42 the New York Times
1:14:44 and then the New York Times says yeah we
1:14:46 might Sue open AI because they took our
1:14:48 stuff all of this is kind of posturing
1:14:51 for the publishing companies to cut the
1:14:54 biggest deals possible
1:14:56 um they probably don't want to do
1:14:57 exclusive deals I don't think they
1:14:59 should do exclusive deals the large
1:15:01 language model companies it's in their
1:15:03 best interest to cut deals
1:15:05 with
1:15:07 um
1:15:09 with media properties so they so that
1:15:12 they've got brands that they can Market
1:15:14 against right so chat GPT giving you a
1:15:17 really good story is great but chat GPT
1:15:21 giving you a really good story citing
1:15:24 news sources from The New York Times or
1:15:26 from the Associated Press that's even
1:15:28 better right and if that can be you know
1:15:30 jointly created and then the AP can have
1:15:33 tools for their reporters that are
1:15:34 powered by open Ai and openai can have
1:15:37 tools that remix content in all sorts of
1:15:40 unique and interesting ways in a branded
1:15:42 trusted way like everyone kind of wins
1:15:45 but at the same time
1:15:49 um the Publishers are like our [ __ ]
1:15:53 current business model doesn't work
1:15:55 anymore like everything's breaking the
1:15:57 publishing industry is a [ __ ]
1:15:59 disaster the music industry is a [ __ ]
1:16:02 disaster the film industry is a [ __ ]
1:16:04 disaster right you know the the writers
1:16:07 and actors are striking to try to cut
1:16:09 some sort of deal where their Leverage
1:16:12 is slipping away daily because they're
1:16:14 going to be able to be replicated from
1:16:16 these [ __ ] machines so so it's it's
1:16:18 kind of it it's much like the Playa for
1:16:22 burning man that right now is a giant
1:16:24 [ __ ] Lake
1:16:26 and everything's shifting everything's
1:16:29 changing and so
1:16:31 um so I think it's really interesting
1:16:34 um I think in the end all of these
1:16:35 lawsuits will settle into
1:16:38 100 million 500 million billion dollar
1:16:41 deals where we've got a 10-year deal
1:16:44 with to AI empower the blah blah blah
1:16:48 we're just going to see lots and lots
1:16:50 and lots of those
1:16:51 so we're kind of shifting
1:16:54 this is this is this is a good sign for
1:16:56 the industry in my opinion
1:16:59 because we're quickly shifting out of
1:17:01 the tools
1:17:03 and into how we use the tools right
1:17:07 so this is going to be further
1:17:09 accelerated when when
1:17:11 um Microsoft finally releases co-pilot
1:17:13 within Office 365 and off off uh Google
1:17:17 releases barred within their office
1:17:21 products and you're starting to get all
1:17:23 these media companies rolled in here
1:17:25 um
1:17:27 it's starting to be incorporated into
1:17:29 the fabric of stuff we touch every day
1:17:32 anyway
1:17:33 so what it says to me is is the
1:17:37 I don't know why the word coagulation
1:17:39 came into my head but the coagulation of
1:17:42 this AI stuff from kind of this this you
1:17:45 know vaporous like what is this
1:17:47 generative AI like I don't know how to
1:17:48 use it what I did I should I become a
1:17:51 prompt engineer I heard you can make
1:17:52 nine hundred thousand dollars oh that's
1:17:54 not in fashion anymore like what do I do
1:17:57 here
1:17:58 like it's very quickly gonna
1:18:02 I I don't think it's gonna be that long
1:18:04 where we have to actively think about
1:18:07 what is this generative AI stuff it's
1:18:10 just going to start to
1:18:12 mer merge into a lot of the stuff that
1:18:15 we play with every day now
1:18:18 I think if you get into it you're gonna
1:18:22 um potentially save your job
1:18:25 and there's going to be a lot of
1:18:26 opportunity for you in the next 18
1:18:28 months to three years
1:18:30 just by the mere fact that you have a
1:18:32 clue about this [ __ ] because a lot of
1:18:34 people are going to ignore it a lot of
1:18:35 there there were some trolls in here
1:18:37 last night that were you know you could
1:18:39 tell they were sitting on the sidelines
1:18:40 and just pontificating from their little
1:18:42 soapbox about the you know the evil ways
1:18:45 of the AI world without actually playing
1:18:48 with it
1:18:49 um I think those people are going to be
1:18:51 blindsided and so
1:18:53 the Irregulars are not going to be
1:18:55 blindsided we might not be able to
1:18:57 figure this [ __ ] out exactly what to do
1:18:59 with it but
1:19:01 I I mean the notes that I get from
1:19:03 people that are in here participating
1:19:05 regularly like what what I'm noticing is
1:19:08 a lot of people are going from I didn't
1:19:10 know anything now I'm playing with it oh
1:19:12 now I did this thing oh now I'm writing
1:19:15 grants now like like sort of the
1:19:18 acceleration of
1:19:20 um the adoption within this community
1:19:22 has been really inspiring so by the way
1:19:24 thank you for anyone who shares with me
1:19:26 what you what you're learning it it it
1:19:29 actually really helps me a lot process
1:19:31 what's happening in in all of this stuff
1:19:35 so keep doing that what's in painting So
1:19:38 in painting
1:19:40 um
1:19:41 so let me go show you
1:19:47 uh so we'll upscale one of these things
1:19:53 geez I gotta come up with a catchphrase
1:19:56 for the cowboy because I get the cowboy
1:19:57 enough I gotta have a catchphrase for
1:19:59 the cowboy
1:20:01 there's a thing called and this is this
1:20:04 is language that came from stable
1:20:05 diffusion I think it's shitty language
1:20:07 in painting and out painting out
1:20:09 painting is you're going to paint
1:20:10 outside the image and in painting is
1:20:12 you're going to paint somewhere inside
1:20:14 the image so
1:20:16 um mid-journey
1:20:19 um calls out painting zoom out which I
1:20:21 think is a much better name right so if
1:20:24 I hit zoom out right here
1:20:26 my little dude on a bike is gonna go
1:20:28 it's gonna zoom out so he'll be farther
1:20:30 in the distance and we'll see more of
1:20:32 the the world around him more of this
1:20:34 Burning Man kind of donut world this is
1:20:37 more like Donut Man
1:20:53 oh I just found a bug I just found a bug
1:20:55 in there in this in painting out
1:20:57 painting thing that's really interesting
1:21:00 huh
1:21:02 this is not good I don't think this is
1:21:04 going to give us what we want
1:21:07 and I'll tell you why in a second
1:21:15 this is gonna be Birds
1:21:17 oh no it kept the dude there
1:21:19 so it gave us a little pterodactyl off
1:21:22 in the sky all right this isn't so bad
1:21:24 so so out painting was we took that sort
1:21:28 of inside image and we out painted you
1:21:30 know we painted all this stuff on the
1:21:32 outside so now in painting is we can
1:21:34 pick some some piece of that so let's
1:21:37 grab this cute third one we'll upscale
1:21:39 this third one here with cute eyes
1:21:44 and then
1:21:47 so in painting now for Mid journey is
1:21:50 this button right here it says very
1:21:52 region so very is we're going to do a
1:21:55 variation of this but keep a lot of the
1:21:56 elements the same but the region is the
1:21:59 end painting So if I click that
1:22:01 it now gives me this interface where I
1:22:03 can select something in the image so
1:22:05 let's say that
1:22:07 um
1:22:11 let's say I want another dude on a bike
1:22:14 next to this guy so I'm going to select
1:22:17 this area right here
1:22:22 and I'm going to say
1:22:24 uh hipster
1:22:27 on
1:22:28 Cruiser
1:22:31 bike
1:22:33 and hopefully that'll give me a little
1:22:35 buddy next to our buddy
1:22:38 it's gonna give me a little buddy so the
1:22:40 end painting is is literally literally
1:22:42 in the painting
1:22:44 um
1:22:45 Photoshop calls this generative fill
1:22:48 what's interesting about generative fill
1:22:50 with Photoshop is you can either in
1:22:52 paint or out paint with generative fill
1:22:54 basically if you expand your canvas and
1:22:56 say generative fill it'll it'll out
1:22:58 paint it'll fill in the outsides or if
1:23:01 you select something inside a photo and
1:23:03 say generative fill it will do it on the
1:23:05 inside
1:23:08 and this didn't give me any bikes no
1:23:11 bikes what's this one
1:23:14 give me a chicken
1:23:17 so
1:23:20 I haven't played around with it but the
1:23:21 the bug that I think I found is
1:23:25 when I did my in painting earlier
1:23:28 for this thing I grabbed a piece of the
1:23:31 sky and I put pterodactyl flying boy I
1:23:34 spelled it wrong
1:23:37 and then when I went to zoom out on this
1:23:39 it didn't keep the original prompt it
1:23:42 just it only kept the pterodactyl flying
1:23:44 prompt so
1:23:46 which wasn't necessarily what I wanted
1:23:47 like I wanted it to zoom out on on that
1:23:50 image and just not fill anything out on
1:23:52 the outside so anyway I don't know that
1:23:54 it's a bug it's just probably more that
1:23:56 I don't understand the interface
1:23:58 which again goes back to this shouldn't
1:24:00 be in [ __ ] Discord
1:24:03 shouldn't it shouldn't it just shouldn't
1:24:08 I get why it's in Discord it's cheap
1:24:10 you've got built-in Community you can
1:24:12 test features there really easy I get
1:24:14 why it's there but it's time it's time
1:24:16 it's been two years time
1:24:19 make your [ __ ] web interface now I'm
1:24:21 sure you're developing it let's get it
1:24:23 going
1:24:24 all right okay will you give some times
1:24:28 some time oh sure bear thank you for the
1:24:31 little dangly lights I appreciate that
1:24:32 will you give some times tugas
1:24:35 to let you know
1:24:38 uh times for what Flaco C null oh that's
1:24:41 pretty funny lunish dick Luna sticks
1:24:44 here the moon comedian
1:24:45 welcome welcome welcome
1:24:50 I like Luna stick 9.5 out of 10 on the
1:24:53 name I think I you know what
1:24:55 no
1:24:56 I'm going 10 out of 10 on the name
1:24:58 because
1:25:00 it's consistent with who you are it's
1:25:02 really it's really a good representation
1:25:04 just based on our few interactions like
1:25:06 you're funny and it's it's good you're
1:25:08 like zany funny zany and funny it's a
1:25:11 good combo so I like it solid name and
1:25:15 flaccasino see it's just it's good solid
1:25:19 clever I tried to find that scam account
1:25:22 I would like to report via email okay
1:25:24 the scam account is
1:25:29 thank you for doing that by the way yes
1:25:32 please anything you can do to help the
1:25:36 real one
1:25:37 I spell learning correctly a i l earning
1:25:44 scammer a i Lolo
1:25:46 earning
1:25:48 so two l's
1:25:50 and because they're all he does them in
1:25:52 all lower case
1:25:54 um the the I and the L and the L
1:25:56 together it's like like it really is
1:25:58 almost impossible to see the difference
1:25:59 between the two when you see them all
1:26:01 with lowercase letters which is that's
1:26:03 why I made uppercase letters here
1:26:06 so that's the scammer so anyone hey if
1:26:10 I've got any if anyone in here is you
1:26:12 know trolls and trolls are hackers and
1:26:14 you want to go [ __ ] with someone go [ __ ]
1:26:16 with this guy
1:26:18 that's probably illegal for me to ask
1:26:20 that but I don't care they're stealing
1:26:22 my [ __ ] and tick tock's not dealing with
1:26:24 it I'll probably get banned now for
1:26:26 seven days because I said some word in
1:26:28 there it happens it's happened it's
1:26:31 happened three times now I think I know
1:26:33 what words I'm not allowed to say
1:26:36 they seem to be similar trigger words to
1:26:39 the the word actually what did you say I
1:26:42 have no idea what I said you've been
1:26:44 warned about insulting the algorithm I
1:26:47 know but maybe the algorithm could pay a
1:26:50 little [ __ ] attention like how hard
1:26:52 is it for the algorithm to go
1:26:54 if they copied videos from this account
1:26:57 and they're The Identical
1:26:59 checksum
1:27:01 The Identical video in that account
1:27:05 and it has the same name
1:27:08 in the same description couldn't we
1:27:10 write an algorithm to maybe go hey maybe
1:27:13 someone should go look at that I think
1:27:15 we could
1:27:16 I don't even think we'd need AI for that
1:27:21 I think we could use good old Boolean
1:27:24 logic if checksum equals
1:27:27 equals yes equals one
1:27:31 therefore
1:27:33 flag
1:27:40 nah I don't want to deal with reality I
1:27:44 don't want to deal with reality this is
1:27:47 horrible this is horrible
1:27:50 and everybody hates
1:27:54 all right
1:27:56 was that synthesized or was that human
1:27:58 we just don't know do we
1:28:00 you're uncloneable thank you do you like
1:28:04 RFK Jr I I gotta tell you man the dude's
1:28:08 voice like I I don't know what's going
1:28:09 on with his voice I haven't really
1:28:11 researched it but it's like it's just
1:28:12 hard to listen to it just sounds painful
1:28:15 um
1:28:15 I I just yeah
1:28:18 something doesn't seem on the up and up
1:28:20 there
1:28:21 um
1:28:22 so not I just don't trust the guy it
1:28:26 just doesn't feel it doesn't feel
1:28:28 authentic I in case this isn't clear
1:28:30 like one of my big things in life is is
1:28:33 like authenticity like authentic humans
1:28:38 and so politicians drive me [ __ ]
1:28:41 batshit crazy because it's like I don't
1:28:43 know how they can [ __ ] sleep at night
1:28:45 most of them most of them both sides
1:28:49 but it's gotten it's gotten so bad at
1:28:51 this point it's just like it's just
1:28:53 unwatchable so but that that one ah
1:28:56 thank you Stevo that's a cute little
1:28:57 doggy that
1:29:00 that doggy that doggy's not here
1:29:03 I'm not sure you should keep getting the
1:29:06 AI over and words any more ideas I know
1:29:09 what are you gonna do that's it the
1:29:11 world's falling apart Gen X kids yeah if
1:29:14 I ever had a polonium potato potato chip
1:29:16 sandwich of course and fried bologna and
1:29:19 potato chip come on
1:29:22 anyone had had ever had uh Taylor's
1:29:25 Taylor's pork roll
1:29:26 that's some Pennsylvania white trash
1:29:28 right there
1:29:30 fried fried Taylor's pork roll some of
1:29:34 the tastiest of the
1:29:37 of the pork part products
1:29:41 it's really good it's a small world
1:29:44 11 minute lag I think I'm the lag here
1:29:47 not the not the technology
1:29:50 hey name's Kyle Shannon I'm a lag nice
1:29:53 to meet you
1:29:55 go ahead and say something I'll respond
1:29:57 an hour later
1:30:01 I'd be fun at a party huh
1:30:05 all right
1:30:07 let's see consolidation is coming I
1:30:10 agree will Google pay content
1:30:13 trainers decent salaries
1:30:19 I don't know what you mean by content
1:30:21 trainers I don't know that
1:30:24 I think all the content scraping I I
1:30:27 here's where here's where my instinct
1:30:29 goes
1:30:32 I think that
1:30:34 the value of editors goes up
1:30:41 and I think the value of
1:30:47 AI literate writers goes up
1:30:53 but what is an AI literate writer might
1:30:56 look more like an editor
1:31:03 so
1:31:07 the the whole idea of like of of having
1:31:10 to do content training all of that's
1:31:12 just going to be automated all that's
1:31:14 going to be Bots anything that's
1:31:15 tactical execution
1:31:17 and think of think of it like this Nancy
1:31:20 anything that is
1:31:22 like the repetitive
1:31:26 you remember the the I Love Lucy famous
1:31:30 episode where she's at the
1:31:32 candy conveyor belt and she's just
1:31:34 shoving the chocolate interface and
1:31:37 gets all sick
1:31:40 um
1:31:40 any work that's like that is going to be
1:31:43 automated
1:31:45 so so any job that's kind of like Lucy
1:31:48 standing there manually pulling things
1:31:50 off the line you know manually
1:31:55 writing articles manually
1:31:58 um
1:32:02 sorting
1:32:04 alphabetizing you know like the old
1:32:06 classic you know go file these
1:32:08 alphabetically and you know
1:32:10 the woman would get the big stack of
1:32:12 file folders and have to go alphabetized
1:32:14 on like any anything that's sort of the
1:32:16 digital equivalent of that stuff
1:32:19 I think that just
1:32:20 in the next two years all of that gets
1:32:23 automated
1:32:27 and and then what feels like it goes up
1:32:30 in value is
1:32:32 who's thinking critically about how
1:32:35 we're going to use these tools
1:32:37 right who's thinking critically about
1:32:39 okay
1:32:41 if
1:32:47 there's going to be new kinds of writing
1:32:49 that emerge right there's going to be
1:32:52 fully human writing which is going to
1:32:54 have value but there's not going to be
1:32:56 as much of it
1:32:57 because it's expensive right so you'll
1:33:00 have specialized maybe investigative
1:33:02 journalism but even that's probably
1:33:04 going to be infused with a lot of AI and
1:33:06 then you're going to go all the way down
1:33:07 to like fully automated just a hundred
1:33:10 thousand articles a day being spewed up
1:33:13 by machines and there's going to be this
1:33:15 Continuum from well let's do it like
1:33:18 this way the the low level stuff the the
1:33:20 stuff that's just spewed out
1:33:21 automatically but that's going to
1:33:23 overwhelm the channels
1:33:25 and then you're going to work up to this
1:33:26 sort of rarified air of very very
1:33:28 minimal sort of handcrafted bespoke
1:33:32 writing and I'm just talking about
1:33:34 writing right now but you can take
1:33:35 literally any knowledge work discipline
1:33:37 any creative discipline
1:33:40 so there's going to be a very small
1:33:42 amount of people that still do the
1:33:44 handcrafted [ __ ] that they're probably
1:33:46 the Branded people the Maggie habermans
1:33:49 and the Matt taibis and things like that
1:33:52 that they'll still do what they do but
1:33:55 there's going to be this whole Middle
1:33:56 Ground
1:33:57 where you're gonna have sort of highly
1:34:00 respected reporters that can increase
1:34:02 the amount of writing that they do
1:34:04 because they're going to use these tools
1:34:06 and these tools are going to get better
1:34:07 at the hallucination thing they're going
1:34:09 to get better at citations you're going
1:34:11 to be able to research pieces a lot more
1:34:13 quickly
1:34:14 you're going to have somewhere in the
1:34:16 middle here
1:34:17 like local news journalism that is
1:34:20 essentially gone right because all the
1:34:22 local stuff has been bought up by these
1:34:23 conglomerates
1:34:26 um that have this National messaging so
1:34:29 local news doesn't exist anymore but
1:34:31 local news is still happening right laws
1:34:34 are still being passed you know streets
1:34:36 are still being renamed like zoning
1:34:39 permits are still being denied and
1:34:41 things like that all of those public
1:34:43 records that local journalism used to
1:34:46 report on those public records are still
1:34:48 there that that's something that's ripe
1:34:50 for AI automating
1:34:53 and say hey let's let's bring back local
1:34:56 journalism and so maybe what you do is
1:34:58 you hire an editor per local region you
1:35:02 let the AI machines write most of the
1:35:05 content but you have the editor there
1:35:06 curating which stories to run
1:35:11 so so so I it's almost impossible to
1:35:15 know
1:35:16 like what the new organization will look
1:35:19 like because I feel like every single
1:35:21 component of what they are today is
1:35:24 going to be completely Rewritten over
1:35:26 the next five years
1:35:30 so
1:35:33 your questions about salaries I think
1:35:36 that
1:35:42 I think that the salaries will go to the
1:35:45 people
1:35:47 who've got
1:35:48 critical thinking skills and our AI
1:35:50 literate right so so that potentially
1:35:53 have some sort of existing skill so I
1:35:56 was a beat reporter or I was a
1:35:58 screenwriter or you know I'm an
1:36:00 entrepreneur whatever it might be you've
1:36:02 got you know some set of skills now your
1:36:04 AI literate on top of it
1:36:06 and you've got the capacity to like
1:36:09 think strategically because this shit's
1:36:11 changing so fast that you're going to
1:36:13 need people that are going to be like
1:36:14 okay the current business looks like
1:36:17 this these new capabilities look like
1:36:19 this the future business what's that
1:36:21 look like I don't [ __ ] know but but I
1:36:23 know that that I know generally where
1:36:26 we're headed
1:36:27 and I'm gonna I'm Gonna Learn these
1:36:29 tools enough to to at least go in a
1:36:31 direction and then I'll smack that into
1:36:33 a brick wall and go nope that wasn't it
1:36:35 and I'll try another one nope that
1:36:37 wasn't it here's one oh that's really
1:36:39 interesting maybe that's a new business
1:36:40 unit
1:36:43 so I think companies are going to need
1:36:45 people they're going to need
1:36:48 you know I've used the phrase revenge of
1:36:50 the liberal arts major and revenge of
1:36:52 the Gen xers I think experienced people
1:36:54 are going to be valuable I think
1:36:57 horizontal thinkers people that can
1:36:59 think across disciplines are going to be
1:37:01 really valuable
1:37:03 and then I think anyone with a
1:37:05 specialized with it with a deep
1:37:06 specialty
1:37:08 who can now have that deep specially
1:37:11 powered by AI they're going to be
1:37:13 valuable
1:37:15 but anyone that just sits back and go
1:37:17 goes I'm a copywriter I'm just gonna I'm
1:37:19 it's all about just copywriting for me
1:37:21 and and what they're really doing is
1:37:23 writing blog posts and this and that
1:37:25 which is copywriting don't get me wrong
1:37:27 but like that's the stuff that this
1:37:29 stuff's just going to obliterate right
1:37:31 so if those people aren't kind of
1:37:32 aggressively up upskilling into whatever
1:37:35 these things can do then I think that's
1:37:38 where the that's where the pain comes in
1:37:40 Apocrypha what's happening
1:37:43 all right
1:37:44 72 percent of Americans want to slow
1:37:47 down Ai and
1:37:50 zero percent of AI companies are going
1:37:52 to slow down
1:37:55 you know I
1:37:57 that's my joke about Florida just passed
1:37:59 a fantastic law that the states no
1:38:02 longer accepting hurricanes
1:38:05 okay great nice law
1:38:09 good luck enforcing it
1:38:12 what's that dark cloud in the distance
1:38:15 yeah just [ __ ] is slowing down it's
1:38:18 not slowing down it can't there's no
1:38:19 there's no way and and Meta Meta and
1:38:22 stability by open sourcing their large
1:38:24 language models just put the nail in the
1:38:26 coffin of
1:38:28 any possibility of slowing it down if
1:38:30 this were just in Google's hands and
1:38:32 open AIS and Microsoft's
1:38:36 um
1:38:37 and a couple of the other ones you know
1:38:39 anthropic and maybe inflection
1:38:42 um cohere
1:38:43 if it were just in a handful of
1:38:45 companies and they had all the control
1:38:47 of it you have a slight chance
1:38:50 of raining it in in America
1:38:54 but China ain't gonna slow down
1:38:57 I don't know what Russia is up to but if
1:38:59 I'm sure they're doing something they're
1:39:01 not going to slow down
1:39:04 you know the Far East isn't going to
1:39:05 slow down
1:39:07 the European Union probably will like
1:39:10 though you know the European Union based
1:39:13 on what they've done with privacy is
1:39:15 going to like rain some [ __ ] in
1:39:17 but at this point you can't but you
1:39:20 can't rein it in and it's just you know
1:39:22 capitalism won't allow it right we're
1:39:24 money grubbing pigs
1:39:28 what's the the latest McKenzie the
1:39:30 McKenzie state of state of tech 2023
1:39:33 they're projecting
1:39:36 4.4.4 trillion dollars
1:39:38 in increased
1:39:42 you know
1:39:43 economy because of this [ __ ]
1:39:48 they're they're
1:39:50 golden them their Hills
1:39:53 they slowing that [ __ ] down I don't care
1:39:55 who wants to slow what that that's it's
1:39:57 part of my point of this channel is like
1:39:59 I don't like you know people ask all the
1:40:01 time what do I think of the writer's
1:40:02 strike and the the the the actors strike
1:40:05 I'm a screenwriter I have a degree in
1:40:06 acting like I I empathize with them I
1:40:09 sympathize with them like I it's a
1:40:12 [ __ ] horrible situation and
1:40:15 this shit's coming
1:40:19 like I I feel like they're fighting the
1:40:21 wrong fight like they need to be
1:40:22 fighting like
1:40:24 rather than saying we can't have ai in
1:40:27 our industry which is what they're all
1:40:29 saying right now
1:40:31 what they should be saying in my humble
1:40:33 opinion I'm not in those unions so I
1:40:35 don't have a say in the matter
1:40:37 is
1:40:38 given that this [ __ ] is coming what
1:40:42 contracts do we need need to get in
1:40:44 place now so that everyone's protected
1:40:46 and they're kind of doing that but the
1:40:48 positioning is
1:40:50 AI evil [ __ ] AI
1:40:53 they're writers this is the most
1:40:55 powerful writing tool in the history of
1:40:57 humanity and the writers are going [ __ ]
1:40:59 that [ __ ] we don't want that in our
1:41:01 lives well
1:41:03 you're going to be competing against
1:41:05 millions of people where it's Court of
1:41:08 their life very very shortly
1:41:11 so I so it just feels short-sighted it's
1:41:14 not short-sighted it feels
1:41:16 it feels myopic and it it I don't know
1:41:20 like this stuff just feels very
1:41:22 inevitable to me so
1:41:24 um
1:41:26 so I don't see it as good or bad right
1:41:28 now I just see it as there's a hurricane
1:41:30 coming
1:41:32 are you gonna be on the surfboard
1:41:36 or are you going to be in the bamboo Hut
1:41:38 on the beach
1:41:41 because the bamboo Hut's more
1:41:42 comfortable right now right
1:41:45 and those are the arguments that those
1:41:47 unions are fighting they're like but we
1:41:49 got the bamboo Hut on the beach you
1:41:50 can't [ __ ] with the bamboo Hut on the
1:41:51 beach
1:41:53 and there's other people like
1:41:56 putting on the wetsuits and paddle it
1:41:58 out
1:42:01 because there's probably some big ass
1:42:02 waves coming
1:42:06 so that's I think that's the only place
1:42:09 to be
1:42:11 but you know
1:42:13 I like chaos and change chaos generation
1:42:16 is here
1:42:18 consolidation is coming what's the
1:42:20 fastest and easiest way to change black
1:42:22 and white movie to color
1:42:24 I don't know uh
1:42:26 there's all sorts of tools for that
1:42:28 they've been doing that stuff for for
1:42:29 ages I would I would think
1:42:32 um within Premiere and Final Cut Pro
1:42:35 there are probably AI tools that have
1:42:37 probably been in it for years that do
1:42:39 that right now
1:42:42 um but you can also go go check out
1:42:44 descript
1:42:45 is a video processing AI company
1:42:49 um I don't think Vizio does anything
1:42:50 like that descript has a bunch of tools
1:42:55 that's more that's like a better
1:42:57 question for Reddit you can you can go
1:42:58 look go to go to
1:43:00 um
1:43:02 futurepedia.io and just see if there's
1:43:04 any
1:43:06 um AI generated video processing things
1:43:08 that specifically mention colorization
1:43:10 but colorization is one of those things
1:43:12 that's been around for a long long time
1:43:15 um so I I don't know that
1:43:17 um I don't know that you're going to
1:43:18 need to leverage this holy crap we're up
1:43:21 to 45 000 likes you guys are nuts
1:43:27 oh my God this is awesome
1:43:30 oh you're [ __ ] hilarious all right uh
1:43:34 it's awesome let's see AI silver
1:43:39 I'm 53 trained multimedia specialist for
1:43:42 25 years this is interesting Laura Laura
1:43:45 C AI will open the gates of everyone's
1:43:48 Minds so here's here's my thing I think
1:43:51 people like you Laura
1:43:53 that that wrap your heads or wrap your
1:43:56 head around this [ __ ] and get like
1:43:59 curious about it and explore it
1:44:02 you're gonna be so much better at things
1:44:05 like
1:44:06 um you know Runway Gen 2 like you know
1:44:09 generating stuff because you've got all
1:44:12 this multimedia experience you're going
1:44:15 to be able to look at these tools and
1:44:16 very very quickly go oh that one's good
1:44:18 that one's bad oh if I if I Stitch those
1:44:21 two together I can create this really
1:44:22 unique thing I can do it 10 times faster
1:44:25 than I used to do it
1:44:28 if I were starting an agency right now
1:44:32 so you know it's really funny like
1:44:35 having having started an agency and
1:44:37 grown an agency
1:44:43 the model
1:44:44 for agencies is basically
1:44:47 get a couple of senior people together
1:44:49 that have an idea they're generally
1:44:51 ex-agency people that are bitter about
1:44:54 the agency world and they're like [ __ ]
1:44:55 that we can do a better agency every
1:44:57 agency that starts says it says we're
1:45:01 not going to be like the other agencies
1:45:04 but but the typical model is you get a
1:45:07 couple of senior Partners who are who
1:45:09 are bitter bitter and smart right and
1:45:11 and ideally have some complementary
1:45:13 skills and have nice rolodexes right
1:45:16 because they've quit their big agency
1:45:17 jobs so they got some clients you know
1:45:20 sitting in the wings
1:45:22 and then you hire a bunch of young
1:45:23 people right you hire you know you start
1:45:26 out with five and
1:45:28 and you know you got the you got the
1:45:30 senior people out doing the selling and
1:45:32 doing the creative Direction and then
1:45:33 you have your your shop of executors
1:45:38 I don't think that's the model anymore
1:45:41 if I was starting an agency right now I
1:45:44 would you know find the two or three
1:45:47 smart bitter people that have the idea
1:45:49 that are also AI literate
1:45:52 have complementary skills
1:45:54 and then I think my team rather than
1:45:56 having young people in there that
1:45:58 because why do you have young people
1:45:59 they have energy they're trainable uh
1:46:02 and they just go for hours and you can
1:46:03 just say go do this go do that go do
1:46:05 that and they just execute and you need
1:46:06 to be able to be out there selling stuff
1:46:08 and have that [ __ ] executed right
1:46:11 well now this stuff does the execution
1:46:14 so I would much rather have someone like
1:46:16 Laura who's got a 25-year career
1:46:20 who's now into this stuff and say hey do
1:46:23 you want to come do like all the visual
1:46:24 stuff so we'll have a visual stuff
1:46:27 person we'll have a writing stuff person
1:46:29 you know we'll have a project managing
1:46:32 kind of person
1:46:33 you know we'll have a creative director
1:46:35 or two we might have a typical creative
1:46:36 director pair right words and words and
1:46:39 pictures
1:46:42 and I think it would be a bunch of gen
1:46:43 xers
1:46:45 that are that are still hungry right
1:46:47 they got if it's a startup they gotta be
1:46:49 hungry so so that's a bit of a unicorn
1:46:51 so they might not quite be gen xers
1:46:53 they'll probably be Elder Millennials
1:46:54 it'll be either Elder Millennials or gen
1:46:57 xers
1:46:58 that have experience smarts you know
1:47:02 some kind of specialty like that and are
1:47:04 diving into this [ __ ] and you can start
1:47:07 a five to ten person agency that you
1:47:09 could compete with 50 person agencies
1:47:11 today
1:47:14 there's a job there's there's a
1:47:17 trying to figure out what to do next and
1:47:19 and you got some got some years on you
1:47:21 and some skills and you're into this
1:47:23 [ __ ] like Laura is
1:47:28 gonna be in great demand great demand I
1:47:32 think I can't see any other way if I'm a
1:47:35 big Fortune 500 company and the bosses
1:47:38 said [ __ ] figure AI out figure it out
1:47:41 now
1:47:43 what am I gonna do
1:47:45 I'm gonna go find
1:47:47 some some
1:47:48 smart people that are that have been on
1:47:52 the planet long enough that
1:47:55 can help short-circuit some of the
1:47:57 changes that are coming like I I just
1:47:59 can't see a way around it the thing that
1:48:01 scares me in that scenario like I'm not
1:48:03 saying this is a good thing I'm just
1:48:04 saying like this is kind of reality of
1:48:06 where my head is right now
1:48:09 where's entry level
1:48:13 because entry level used to be you'd
1:48:16 come in and you'd do the repetitive
1:48:17 tactical execution work and that's how
1:48:19 you learn the business
1:48:22 you know go make 50 Instagram posts out
1:48:24 of this template okay
1:48:27 [Music]
1:48:29 you know and after [ __ ] three months
1:48:31 of Mind numbing Instagram image
1:48:33 generation you're like could I do an
1:48:36 audio file oh you can do audio yeah oh
1:48:39 go do these thousand audio files thanks
1:48:43 six months later
1:48:45 I do video too
1:48:48 right that's how young people learn
1:48:51 that's how businesses
1:48:53 service businesses get the work done
1:48:57 where do those young people go where do
1:49:00 they enter
1:49:02 if this shit's doing all that work that
1:49:04 I don't know like that I don't have a
1:49:06 [ __ ] answer for and like the only the
1:49:08 only plausible
1:49:10 thing that I came up with was
1:49:13 maybe you go back to a mentor mentee
1:49:16 model
1:49:17 where you bring in a young person and
1:49:19 pair them up with an old person right so
1:49:21 so Laura's got her 25 years of
1:49:24 multimedia experience
1:49:26 so she's doing everything she can to
1:49:28 learn this you pair her up with a young
1:49:30 person who knows all the lingo and the
1:49:34 vocabulary and how to [ __ ] use tick
1:49:36 tock
1:49:37 and you pair them up
1:49:40 and they teach each other
1:49:44 how to use these tools to do what they
1:49:46 do and and sort of the the young person
1:49:49 kind of levels up as an apprentice to
1:49:52 the older person that's you know using
1:49:54 their wisdom and their years of
1:49:55 experience to curate the [ __ ] out of
1:49:57 this stuff
1:49:58 that's the only thing I can think of
1:50:00 right now I just I feel like the entry
1:50:02 the like the entry level is going to be
1:50:05 automated and where do the young people
1:50:07 go I don't know I don't know that that
1:50:09 freaks me out a little bit
1:50:12 but anyway I don't know did you have a
1:50:14 question there wait what did you say
1:50:15 um train multimedia AI will open the
1:50:17 gates of everyone's Minds oh yeah that's
1:50:19 the other thing I was going to think
1:50:20 that that your comment um made me think
1:50:23 of Laura is
1:50:26 um
1:50:30 so many people are going to be able to
1:50:32 completely reinvent themselves
1:50:35 where maybe I was just a copywriter for
1:50:37 all those years
1:50:39 but I really wanted to be an artist but
1:50:41 I just didn't have the talent for art
1:50:43 but now there's this tool where I can
1:50:45 take my word skills and I can use them
1:50:47 in this tool and it makes pretty
1:50:48 pictures
1:50:50 well that could just be a complete
1:50:52 career transformation right or I've
1:50:55 always wanted to code but I have ADHD
1:50:57 but if these can do the basic coding and
1:50:59 I can just be like the product guy
1:51:03 and actually generate applications
1:51:06 uh I'm in
1:51:08 that's like a superpower right so so I
1:51:11 think that idea of opening the gates of
1:51:13 everyone's Minds it's kind of like
1:51:16 I I almost feel like these things are
1:51:18 Malcolm gladwell's 10 000 hour Theory
1:51:21 right that that in order to get
1:51:23 competent at something you need to put
1:51:24 in your 10 000 hours I kind of feel like
1:51:27 these things knock it down to like a
1:51:29 thousand maybe even a hundred
1:51:32 what if you put in a hundred hours into
1:51:35 these tools in something that you were
1:51:38 horrible at in a hundred hours could you
1:51:40 be good probably
1:51:43 that's got some pretty serious [ __ ]
1:51:45 implications
1:51:48 all right
1:51:50 I got a windiest uh gotta wind it up
1:51:54 all right let's see let me I'm gonna
1:51:56 scroll to the bottom here I gotta go
1:51:58 um I got a trip to the airport in the
1:52:00 morning
1:52:02 so let me go do that let me go
1:52:06 I'm gonna grab some final questions down
1:52:08 at the bottom here
1:52:12 um how do you see it affecting the
1:52:13 medical industry
1:52:14 um I think it's going to be fairly
1:52:16 profound but it'll be slower
1:52:19 um I think it's going to affect drug
1:52:21 Discovery like incredibly well and
1:52:23 Incredibly quickly
1:52:26 um I think it's gonna impact the
1:52:29 marketing side of things pretty
1:52:30 dramatically but you know all because
1:52:32 it's regulated all of that stuff's gonna
1:52:34 go slow so so we've been talking for
1:52:36 years about Radiologists you know we
1:52:39 don't need Radiologists anymore because
1:52:41 these tools are going to do it better
1:52:43 than the Radiologists and they do
1:52:45 accept
1:52:47 we as a society and and as insurance
1:52:50 companies and as medical professionals
1:52:53 aren't comfortable completely seeding
1:52:56 diagnosis to the machines so you're
1:52:59 going to have pair programming for a
1:53:01 while right where you've got
1:53:03 doctor Radiologists in in conjunction
1:53:06 with this AI stuff right so you'll have
1:53:07 that for a while
1:53:09 um I think this generative AI stuff is
1:53:11 going to accelerate a lot of things
1:53:13 um so so I think it's going to be quite
1:53:14 quite profound
1:53:16 um but it but you know we've had AI in
1:53:18 medicine for a lot of years it's done a
1:53:20 lot of good things
1:53:21 um the generative AI stuff is just it's
1:53:24 it's a different kind of contribution to
1:53:27 the field and I think it's going to
1:53:29 affect not just drug Discovery but sort
1:53:32 of all aspects of it and it's
1:53:36 this stuff is going to affect all
1:53:38 aspects of anything that's computer
1:53:40 mediated so Consulting
1:53:43 computer software development Medical
1:53:49 real estate all of it all of it's going
1:53:51 to be affected anywhere there's computer
1:53:52 Intervention which is essentially all of
1:53:55 our society at least here in the West
1:53:58 I'd work for you oh thank you Luna stick
1:54:00 I appreciate that
1:54:02 we are young baby boomers
1:54:05 I'm 65 I think I'm I think I'm the sort
1:54:09 of Base year of gen xers
1:54:11 my daughter's in her second year of
1:54:13 Masters in advertising and they're not
1:54:15 doing any of this stuff oh Vicky oh God
1:54:19 that's that's rough
1:54:23 if you haven't tell your daughter to
1:54:27 [ __ ] dive head first into this stuff
1:54:30 unless she's pigheaded and won't listen
1:54:33 to Mama hopefully she listens tomorrow
1:54:35 tell her to dive into this feel free to
1:54:38 point her my direction I'm happy to chat
1:54:40 with her
1:54:41 um I've been in that world for years uh
1:54:43 the the agency world is about to have an
1:54:47 upending it's it's not going to be
1:54:48 pretty
1:54:49 and if if if she's getting her Masters
1:54:52 and they're not dealing with this she's
1:54:53 [ __ ] Christ really
1:54:55 huh that's maddening 50k coming up we're
1:54:59 at 52k holy crap all right I gotta jump
1:55:01 to the bottom here I gotta go
1:55:04 um 65 you were 58 last week no I was
1:55:06 born in 65. I am 58.
1:55:10 I was born in 65 1965 demo test well bye
1:55:16 I was demo testing here oh there he is
1:55:19 you know nothing about AI there's our
1:55:21 troll
1:55:22 oh he's so cute he needs a hug oh demo
1:55:27 here's the sweetest
1:55:31 are we stopping at 50 50k we're crushing
1:55:34 it you guys are having your your own
1:55:36 little party off to the side here this
1:55:38 is awesome
1:55:39 um all right let's see I'll do two more
1:55:41 questions what model would you suggest
1:55:42 for privacy for example analyzing
1:55:45 sensitive documents such as PDFs
1:55:48 um
1:55:48 so you're going to want to look at a
1:55:51 project called Lang chain
1:55:52 um what's your name Patrice Patrice
1:55:54 rock83
1:55:56 look at a project called Lang chain
1:55:57 where you can
1:55:59 um embed your own PDFs and you can you
1:56:02 can kind of run everything locally on a
1:56:04 virtual machine where you're not sending
1:56:05 API calls out to to these services
1:56:09 um I would I would start there you can
1:56:11 also play Within chat GPT code
1:56:14 interpreter
1:56:15 I don't quite know the data boundaries
1:56:18 on it but the way code interpreter works
1:56:20 it spins up a virtual machine inside
1:56:22 your chat
1:56:23 so you can upload a PDF into code
1:56:26 interpreter and then have it start
1:56:28 interacting with it and it's writing and
1:56:30 executing python code to analyze your
1:56:32 PDF
1:56:34 um
1:56:35 that might be secure I would explore
1:56:38 code interpreter but
1:56:39 the the
1:56:41 data sharing policies of openai are a
1:56:44 little shitty right now they got to get
1:56:45 their [ __ ] together with that the other
1:56:47 thing you can do is look at uh Microsoft
1:56:49 Azure
1:56:51 um they've got GPT things if you're
1:56:53 working for a big company that has
1:56:55 budget and you can spin up a secure you
1:56:59 know data
1:57:01 sequestered server to do this open AI
1:57:04 stuff I know they have them there but I
1:57:06 think they start at like 25 Grand so you
1:57:08 know they're not cheap but depending on
1:57:11 who you work for that might be the way
1:57:13 to go if you're working Healthcare and
1:57:14 Pharma you know absolutely gonna have to
1:57:17 do that
1:57:20 10 p.m for anyone with an early morning
1:57:22 flight yeah it's I I gotta I gotta get
1:57:25 to the airport early
1:57:27 what do you think AI will do to a to
1:57:30 education in colleges cam I'm going to
1:57:32 save that one for next time but
1:57:34 basically I think educate the entire
1:57:36 educational
1:57:38 system needs to reinvent itself and this
1:57:40 is going to force it to do it it's
1:57:42 Everything Has Changed like what what we
1:57:46 teach to has to change because the world
1:57:50 that we're moving into doesn't require
1:57:53 the same kind of education it doesn't
1:57:55 require memorization it doesn't require
1:57:57 rote activity practicing
1:58:02 to go be a cog in the machine
1:58:05 because these are going to be the cogs
1:58:08 in the machine now
1:58:09 so
1:58:13 teaching critical thinking skills I
1:58:16 think has to go up dramatically and
1:58:19 teaching rote memorization and
1:58:21 repetition [ __ ] has to go down
1:58:24 immediately and and I don't think any
1:58:27 institutions are really ready for that
1:58:29 so
1:58:31 I don't know enough about that world to
1:58:33 know how to [ __ ] fix it but that's
1:58:35 that's my instinct anyway I gotta go
1:58:36 people peace out everyone uh it was good
1:58:39 hanging out with you and uh I really do
1:58:43 appreciate this we
1:58:45 we got the 54 100 likes you guys are
1:58:48 nuts I love you this is fantastic thank
1:58:52 you all peace chaos generation Clint
1:58:55 cavruno Vicky night everybody Apocrypha
1:58:59 thank you so much I'll see you tomorrow
1:59:01 peace out Emilio's wife later night
1:59:04 Nancy felonious Luna stick
1:59:08 the bear all right peace out everybody
1:59:11 thanks our growth geek