aiLL 9/12/23 - The AI Apocalypse Isn't Coming, But The Reinvention Is

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0:01 foreign
0:34 good day to you sir good day to you good
0:38 day good day good day Jackie Chan's here
0:43 love your movies fantastic Bob tell them
0:46 what he's won
0:48 you won a sag strike
0:52 you won't be filming this year
0:55 good day mad cap was shaking What's
0:58 Happening Dr J what's going down what's
1:01 going down doctor day today Tyrant truth
1:05 was shaking how are you
1:10 uh
1:11 just had a good AI Salon tonight just
1:14 got home had a little din din
1:16 Italian video is insane isn't it crawdad
1:20 crawdad it's uh
1:23 or Crawford Crawford I get it Crawford
1:29 craw for duh Crawford
1:33 yeah that that Italian video is nuts if
1:35 you don't know what he's talking about
1:39 uh about modular content and AI so let
1:42 me dig into what's going on
1:54 that's me speaking Italian fluently
1:59 I can't speak Italian at all I I can't
2:03 speak Italian
2:04 rudimentarily much less fluently
2:13 man every time thank you mad cap thank
2:17 you thank you thank you
2:22 hello Irregulars Tobias back in the
2:25 house
2:26 thank you for coming to the salon
2:27 tonight Tobias hope you enjoyed
2:30 hope you enjoyed I'm so afraid to ask
2:32 questions that you answer all the time
2:35 you hear about this video Translate
2:38 well you can a
2:40 [ __ ] ask questions
2:43 like
2:44 like
2:45 just because I may have been asked
2:48 questions before
2:49 hey I don't get tired of it because
2:51 everyone's trying to figure this [ __ ]
2:53 out and yeah this video translating this
2:56 one
3:07 are the lips synced up too yeah
3:14 transcription
3:22 I've never said storyline like I started
3:26 vine but I will now
3:28 that's [ __ ] sexy
3:31 hello my name is Kyle Shannon I'm the
3:33 CEO of study van
3:35 [Laughter]
3:38 yeah that stuff's Wild by the way if
3:41 you're wondering well what the hell is
3:43 that what the hell is this channel who
3:45 are you what are your qualifications sir
3:47 sir sir sir I need to see your papers
3:50 what are your qualifications you claim
3:52 to be an AI learning lab you are
3:54 learning AI are you teaching are you
3:57 learning what are you doing what are
3:59 your qualifications sir
4:02 are you a mathematician or are you not
4:06 indeed I am not
4:10 so what are my qualifications I have
4:12 none that's why we're here welcome to
4:16 Fantasy Island Buzz is the plane
4:21 uh
4:23 it's crazy crazy crazy crazy crazy crazy
4:25 crazy crazy oh by the way
4:29 it's I'm starting a little bit late I
4:31 had a couple of uh old-fashioned as well
4:34 so I ordered one old fashioned after the
4:36 salon tonight I ordered one old
4:38 fashioned in this clueless bartender
4:42 didn't know what whiskey was
4:46 and then he makes me an old-fashioned
4:48 and I take a first Sip and he made a
4:50 [ __ ] old-fashioned with Fireball so I
4:52 had a cinnamon old fashioned which was
4:55 actually pretty [ __ ] good
4:57 and then I went back I said uh not for
5:00 nothing but you know you made an
5:01 old-fashioned with Fireball not this
5:03 shitty whiskey you were trying to sell
5:05 me
5:06 no I'll make you another one so I had
5:08 two drinks
5:09 um
5:10 so anyway my name is Kyle Shannon I am
5:13 an entrepreneur I'm a co-founder of a
5:16 company called eStore Divine uh and and
5:20 I do not speak fluent Italian that
5:22 example that I just showed of me
5:24 speaking Italian from what was from a
5:26 tool called hey Jen
5:28 h-e-y-g-e-n.com
5:32 and you click on the labs button in the
5:35 lower left hand corner and then choose
5:37 the video translate option you get two
5:39 credits for free
5:42 and upload something of yourself talking
5:45 for like five minutes and pick a
5:47 language and just sit back and just
5:49 watch your jaw [ __ ] hit the floor
5:52 it's like good Lord
5:56 um this is the AI learning lab we like
5:57 talking about AI stuff here well I do I
5:59 do a lot of the talking but uh you can
6:02 ask questions down below I'll do my best
6:04 to answer them uh and and and do all
6:06 that sort of stuff
6:08 um also if you're trying to figure out
6:10 where the hell to start with this stuff
6:13 um just start right there that's
6:16 chat.openai.com that's chatgpt
6:19 people been talking about chat jpk I
6:22 don't know what this chat CTP thing is
6:27 TT
6:33 that thing that's that thing if you have
6:36 not played with it go there right now
6:38 and and just go just go get thee to a
6:41 nunnery
6:42 hither thee hence
6:45 and then if you don't know what to say
6:47 to it go to that thing prompts.chat
6:50 that's that'll give you some
6:51 instructions on how to talk to these
6:52 things and I'll give you some prompts
6:54 you can copy and paste it's pretty cool
6:56 it's very basic but it it gets it'll get
6:59 you started
7:00 um and and we'll just hang out here for
7:03 a bit
7:04 I'll talk some [ __ ] I'll make funny
7:05 voices I'll probably cuss a little like
7:08 damn it damn it Jane
7:12 am I on a tick tock is this thing on
7:14 Jane is this thing on chain
7:18 hey do you know how to use the tick tock
7:20 Jane Jane I'm trying to go on a tick
7:22 tock how do I know if I'm on the tick
7:24 tock
7:26 right
7:28 so I might do that I might do that and
7:30 then why do I do that
7:32 because one of my great joys in life
7:35 is knowing that somewhere someone in the
7:38 world is flicking through Tick Tock and
7:40 and they see Jane is it is tick tock on
7:45 is anybody seeing this hello
7:50 they gotta stop right you would think
7:52 you would think at some point someone
7:53 would go oh that's unfortunate
7:56 that's an unfortunate human being why
8:00 why'd they put themselves on the
8:01 internet
8:04 oh
8:06 oh I Missed The Talk cast last night
8:08 what did I miss
8:10 I don't know I am functionally
8:13 unconscious when I do these things I
8:15 don't remember [ __ ] it's all spontaneous
8:17 so
8:19 um
8:21 we talked about stuff
8:23 uh
8:26 what do we talk about
8:28 uh I don't know stuff nonsense I think I
8:32 definitely talked about the translation
8:34 [ __ ] because that I'm just blown away by
8:36 it
8:38 what are your thoughts on it affecting
8:40 political elections well I think that we
8:43 are in for I think that if you think the
8:46 misinformation in 2016 and 2020 was bad
8:50 hahaha
8:57 two days before the election what do you
9:00 mean there's a video of him French
9:01 kissing a gorilla at the Cleveland Zoo
9:07 it's gonna happen
9:09 there's going to be a lot of
9:10 misinformation that's going to get
9:12 increasingly sophisticated it's going to
9:14 get increasingly hard to
9:17 determine fact from reality but we've
9:19 already given up on facts like we've
9:21 already flushed them down the toilets we
9:22 we have now successfully allowed the
9:25 politicians to manipulate us into
9:28 fighting each other so they could just
9:29 go grift all our money so we're the
9:32 dummies in this situation and and you
9:34 know so they're going to continue to
9:36 shove crap down our throat that makes us
9:38 more and more pissed off so
9:41 um part of what I try to preach on this
9:43 channel is what if we didn't suck to
9:45 each other what if we were just a little
9:47 empathetic
9:48 a little warm a little curious but if we
9:50 were curious and empathetic and thought
9:53 hey this AI stuff
9:55 maybe I should go learn
9:57 what this stuff is and why it is and how
10:00 it is and rather than just believing the
10:02 robots are going to kill us maybe I go
10:04 look at it maybe I get a little curious
10:06 and then you go
10:08 well can it do this yeah it can do that
10:12 oh okay that's interesting that's very
10:14 clever
10:15 could I write a song I bet it can't
10:17 write a song
10:19 oh it writes the song but it doesn't
10:22 know chords right oh it knows chords too
10:25 oh well wow
10:28 but it can't do what I do I know that
10:30 for at least because I've been doing
10:32 this for 30 years this this is very rare
10:37 well let me see if it can do what I do
10:40 good Lord oh what do I do
10:49 you [ __ ] profound maybe instead of
10:51 being an [ __ ] to my neighbor we
10:53 should like talk about what's this gonna
10:55 do
10:56 do you know anything about this uh I'm a
10:59 little freaked out by it oh yeah I'm a
11:01 little freaked out by it too wait a
11:03 minute do we have common ground aren't
11:04 we supposed to hate each other well we
11:06 are
11:07 didn't you see that politician French
11:09 kissing a gorilla he's your guy oh yeah
11:12 I think that was fake I don't think that
11:14 was fake whatever should we go play with
11:16 this
11:17 what if we did that
11:20 that would be more fun wouldn't it than
11:21 smashing people's windows in at stop
11:23 lights because they drove a truck
11:27 I mean I don't know
11:33 I mean you ruined how I say chat GPT in
11:35 my head so why not Italian anymore
11:38 I don't know what you mean Crawford
11:44 I don't know what you're talking about
11:49 in your head
11:52 how do I salon so so we just have an AI
11:55 Salon tonight and
11:58 how you get to the salon if you go to
12:00 the salon.ai that's our website it's not
12:03 our website it's a link tree
12:05 and the first link is a link that
12:07 describes what it's about and what our
12:09 values are read those values because
12:12 I don't want douche bags in there it's
12:15 the whole idea with the salon is be
12:16 curious be adventurous
12:18 be empathetic be inclusive
12:22 explore right like have an open mind
12:25 come in be curious just be there
12:30 be a human being who's learning and
12:33 growing and scared as [ __ ] and as
12:36 excited as [ __ ] and all that
12:39 so read the values because if you don't
12:41 resonate with them then don't hang out
12:43 with us because that's who we want in
12:44 there and then the second link is a link
12:47 to our Meetup so we meet every other
12:48 week tonight was our meeting
12:51 and and then we have an online Discord
12:53 server and we've got a LinkedIn group
12:55 and all the links are there so just go
12:57 there and do that and it's [ __ ] it's
12:59 cool people it's cool people it's cool
13:01 people I'm I don't care what you say I
13:04 like them I like them well some of them
13:07 are relatively geeky
13:10 yes and then others have not even tried
13:12 AI oh well why are they in there
13:17 why do I talk like this
13:20 like Charles Nelson Reilly and I don't
13:24 know what's going on whatever
13:25 all right let's see ah Emilio's wife is
13:28 here shaken how are you tonight good to
13:30 see you
13:32 I'm trying to find where I was in my
13:35 hello from planet Earth Tanqueray Kush
13:39 double teaming the the gin and the in
13:42 the mirror Juwanna
13:44 Ted looks at life hello Kyle and her
13:46 regulars welcome black eight black eight
13:49 hello from Australia yo
13:52 I assume dude but could be a lady could
13:55 be a lady who knows
14:04 what's it called what's what called oh
14:08 the Italian thing
14:10 is
14:19 and then look so so you want to see the
14:21 so this I cut together
14:23 here I'll flip this for the last two or
14:25 three nights so if you've been here
14:26 before sorry I know you're sick of
14:29 wait why is Kyle in both windows
14:32 stop we've had enough make him go away
14:38 um so I cut together
14:40 English and Italian back-to-back I took
14:43 little chunks and put them back to back
14:44 and you know you can actually really see
14:47 how good it does and like the timing and
14:50 the it's just amazing so this is a this
14:52 is a technology called Hey gen video
14:54 Translate
14:57 I've heard from a number of clients that
14:58 modular content is important to them
15:00 getting more efficient with how we
15:01 create content and how we leverage
15:03 contents
15:11 behind me you see these little green
15:13 boxes um that's how we think about
15:15 stories at storyline we break stories
15:17 down into little atoms right little
15:19 modules
15:33 I mean holy crap right
15:36 lips are synced
15:38 it's me talking
15:40 follows my Cadence follows my emotional
15:43 whatever ups and downs arcs it's just
15:46 it's just stupid it's stupid
15:50 it's stupid I tell you I do not know
15:53 what to even think anymore I cannot
15:55 process anymore what I'm supposed to
15:58 think about what's going on on this God
16:00 forsaken Planet why does my
16:04 screen it's probably because it's dirty
16:06 because you know what I do all night
16:08 long I talk to you people and I touch my
16:10 screen and then my screen's got it's
16:13 like a seven-year-old put a peanut
16:15 butter and jelly sandwich on it oh thank
16:17 you for the hearty heart
16:18 oh oh uh posted so wait could we use hey
16:23 Jen to teach ourselves other languages
16:25 you know what's funny emilios I was
16:27 thinking about that exact thing because
16:29 in the in this video where I'm going
16:31 back and forth between
16:35 um
16:36 my my English and my Italian
16:40 um it's teaching me like the the
16:42 inflection like I started vine right I
16:46 mean that's how we capture the content
16:47 but because we have and that's how we
16:48 capture the content so that's the
16:50 beginning of that phrase um in this
16:52 organized structured way that approach
16:54 can be used for everything from how you
16:56 capture original content with
16:57 traditional video production to how you
16:59 leverage these assets to create social
17:02 media content things like that
17:06 um
17:09 but yeah I think you could absolutely do
17:12 that right and actually that that
17:14 wouldn't be a bad use of this tool
17:16 because you could you could
17:18 um
17:19 automatically
17:20 just upload a video of yourself talking
17:23 and then using their API
17:26 you could just say break it into natural
17:29 phrases short little phrases and go
17:31 English Italian English Italian English
17:34 Italian and then or no actually what you
17:36 would do is you would go English Italian
17:39 pause
17:42 English Italian pause and the pause
17:45 would be the length of the Italian
17:48 there you go done there just billion
17:52 dollar idea right there for you take it
17:54 that's the kind of value we serve up in
17:56 the AI learning lab you come in for the
17:59 comedy you end up with a billion dollar
18:01 idea and and you leave here thinking
18:06 right
18:07 it's amazing for nothing
18:10 nothing except for a gummy the cost of
18:12 one gummy Share Bear two gum three
18:15 gummies
18:16 for the cost of three gummies
18:18 you get a billion dollar idea
18:21 I think it's a good deal I think it's a
18:23 good deal
18:24 you know
18:27 well it's a small price to pay
18:29 one billion on this side three gummies
18:31 on this side
18:33 I think that's a deal
18:36 cousin O'Donnell I commend your drive I
18:39 know I'm uh
18:40 I said to my wife I'm like I'm gonna go
18:43 do a Ticky Tucker she's like aren't you
18:45 [ __ ] exhausted I'm like yeah
18:48 a little drunk
18:50 a lot exhausted
18:55 um the salon tonight was really good but
18:57 it was it was a bit of a heavy lift
18:58 because I thought we had people speaking
19:00 at the salon tonight and it turned out
19:02 they they all told me like at the last
19:04 minute oh no we're not going to be there
19:05 good luck it's like ah
19:10 so whatever whatever what are you gonna
19:13 do huh what are you gonna do you know
19:16 you want something done right you do it
19:18 yourself you know what I'm saying that's
19:21 what I'm saying
19:23 don't want it done right yeah do it
19:24 yourself
19:27 that's not like Burgess Meredith in
19:29 Rocky ah Rocky ah get out there
19:34 he's not getting mad he's getting angry
19:37 he's not getting beat he's getting angry
19:39 ah
19:44 um oh by the way
19:45 uh this channel is really just about me
19:48 entertaining myself so
19:50 in case that wasn't painfully evident
19:56 uh it's never a dull moment here at the
19:59 AI learning lab chat add
20:03 uh I missed top cast last night what are
20:05 your thoughts on affecting political
20:06 elections I already answered these
20:07 questions
20:09 um
20:10 tick tock's just randomly jumping me
20:13 around the dang things how do I disable
20:15 how to disable restrictions
20:19 so what's your name last belly Bender
20:25 um I'm gonna go
20:29 I go 8.5 out of 10 on the name I like it
20:32 last belly Bender the only reason you're
20:35 not higher
20:37 is it's hard to say belly Bender last
20:40 belly Bender there's I don't know
20:42 there's too many you got some diphthongs
20:44 in there [ __ ] it up but I like it
20:46 it's solid
20:48 um
20:49 AI learning lab have your name critiqued
20:52 as well as get your questions answered
20:54 what are you asking how do you disable
20:56 restrictions so I assume what less
20:59 bellybender is talking about is when you
21:01 ask Chachi BT say to
21:04 do something destructive to your
21:06 neighbor it's like uh I'm a large
21:08 language model and we don't condone
21:10 violence
21:12 and and I assume what you're saying is
21:14 you would like those restrictions not to
21:16 be there well there are things you can
21:19 do
21:20 you can go to
21:24 [Music]
21:27 labs.perplexity.com.ai
21:29 labs.perplexity.ai they're hosting metas
21:31 llama 2 models and the chat llama model
21:36 I don't know what the restrictions are
21:37 on those but those models are open
21:39 source so you can get the weights
21:42 the base models and you can go to do
21:45 whatever the hell you want with them
21:47 I also was sent in my comments today
21:54 [Music]
21:59 worm GPT
22:01 .com
22:07 yeah weren't uh was this it
22:10 yeah yeah worm wormgpt.com
22:16 this is an autonomous agent with no
22:19 restrictions
22:21 designed to do like really
22:24 nasty crap
22:27 you want to do nasty crap I guess you
22:29 can go there like why am i showing that
22:31 I don't know I I mean the stuff's out
22:34 there if you want to get unrestricted
22:36 models just go open source uh just go to
22:39 Reddit and type in open source llms
22:42 and just look at all the projects there
22:44 there's a ton of projects and I'm sure
22:46 there's a ton of projects jail broken
22:48 GPT
22:50 um
22:52 I don't necessarily know why you want to
22:54 do that but I don't really care I mean
22:56 you do you
22:58 think we should use the SE Technologies
22:59 for the good
23:01 but that's why I own white hats only
23:03 white hats only in this house
23:05 you know you're over there in black hat
23:07 territory you're at least brown or gray
23:10 or something you know what I mean you're
23:13 darker than white that's what I'm saying
23:14 all right good evening Vicky what's
23:18 happening you make this funny I try I'm
23:21 on the internet I'm on the internet
23:23 we're all on the internet welcome to the
23:26 internet I'm on the internet
23:29 um
23:30 Irregulars present Turtles and go go and
23:35 seen Turtles activate
23:39 is there a token currency for AI well as
23:43 a matter of fact funny you should
23:45 mention it
23:47 I don't like to brag but I do
23:50 I love to brag I love to brag wait let's
23:54 see where what I gotta get my green
23:56 screen hold please
23:58 it's gonna be so good when I finally get
24:00 there
24:05 down
24:06 [Music]
24:18 like Kyle
24:20 what is that what is this Mad World ID
24:25 you possess verified at orb
24:29 could it possibly be more sci-fi creepy
24:32 than verified at orb no is this an
24:36 actual
24:38 image of my personal Anonymous World ID
24:43 verified at orb yes it is so
24:48 um so this
24:50 is Sam Altman's company called World
24:53 coin
24:54 and part of world coin is a thing called
24:56 World ID which is a human verification
24:59 system
25:01 tokenized on the blockchain so I now
25:03 have an nft that basically says the
25:06 owner of this nft is a unique Anonymous
25:10 human
25:12 so it verifies that I'm a human and I'm
25:14 unique from all the other humans on this
25:16 system
25:17 and he's also got a cryptocurrency
25:19 called World coin and the whole idea of
25:23 this is to create a foundation for
25:25 Universal basic income
25:27 and a way to
25:30 take the excess profit that generative
25:33 AI is going to create massive Prosperity
25:36 so for the same amount of people working
25:38 Prosperity is going to go up and
25:41 probably reduce the need for as many
25:44 people to do that work so there's this
25:46 massive Gap
25:48 that's going to be created where the
25:50 private Equity guys are like more profit
25:52 for us
25:54 do I need a third yacht I think I do for
25:56 the Maldives
25:58 so that's what this is private Equity
26:01 guys are doing when they're looking at
26:02 this equation what Sam Altman is saying
26:05 is he turned his open AI into a capped
26:08 for-profit company
26:09 which basically any investor can only
26:12 make 100x on their return
26:14 he he believes that open AI is going to
26:17 generate significantly more than 100x
26:20 on the Investments and so he's going to
26:23 take the extra money that's generated
26:26 from the investment to the 100x and
26:29 whatever it ends up making and he's
26:31 going to funnel that all over to his
26:33 non-profit
26:35 and generate a universe Universal basic
26:38 income and a wealth redistribution
26:40 mechanism
26:42 um that that will be handled on this
26:45 network
26:46 um is it a real thing well it's a real
26:50 ID at this point there's a real
26:52 cryptocurrency and there's real
26:53 development tools to make all this but
26:56 no it's not real yet and will it be real
26:58 I don't [ __ ] know why did I do this
27:01 because I actually think this is
27:03 important I think the 2024 election is
27:05 going to prove to us
27:07 um
27:09 prove to us even more how destructive it
27:12 is not to have
27:13 human verified content and and um
27:17 unmolested content that that can be
27:20 blockchain verified so I I don't know
27:22 we'll see but so yes there is
27:25 it abs
27:29 abeg nail Abigail Abigail 24. Abigail
27:35 your name's hard to say it's so hard to
27:38 say
27:39 I can't say those syllables in a row
27:43 bye
27:50 God
27:52 World ID no more this at this this this
27:55 channel is already enough of an ad for
27:58 Sam Altman's companies
28:01 laughs
28:03 is there a link to the video you
28:05 featured in the salon of the disabled
28:08 man using AI in Ukraine
28:11 yes I'll put it in the AI Salon hang on
28:19 that's not well while we're here
28:23 good times here right back here live at
28:26 the waterfront village with my friend
28:28 the zombie Jonathan you're looking good
28:30 Jonathan just got an awesome face paint
28:32 job what do you think I like turtles all
28:36 right you're great zombie good times
28:39 here at the waterfront
28:41 I'm sorry that that was that wasn't what
28:43 we were looking for was it
28:46 um
28:49 select all copy okay so I'm going so if
28:53 you're over at the AI salon at the AI
28:55 salon
28:57 um where are we gonna put this I will
28:59 put this in general discussion
29:02 so at the AI Salon in general discussion
29:05 I'm gonna say
29:08 um the video from tonight
29:14 and there it is there you go so for
29:18 those of you that weren't in the salon
29:19 tonight
29:20 um we're doing a in the salon we're
29:23 doing an interview two-part or
29:25 multi-part article on this Ukrainian
29:29 developer named Anton
29:31 who's got severe uh cerebral palsy and
29:34 can't talk and you know severely
29:37 physically challenged and but taught
29:41 himself engineering and programming and
29:44 all this sort of stuff it was basically
29:45 like typing with one finger barely and
29:49 now using github's copilot it's helping
29:53 him do you know incredibly quick code
29:56 commenting the code documenting the code
30:00 um and it's a it's an 11 minute piece on
30:02 on his life and what he's doing with
30:06 coding and Ai and we showed it at the
30:07 salon tonight and talked about it I lost
30:09 my marbles at the salon I was talking
30:11 about it I was I was trying to like put
30:13 in context
30:15 when you see a story like this
30:18 it's it's
30:19 um
30:22 I think because AI is this technology
30:25 and it's kind of tied to sci-fi and
30:27 there's kind of this hangover from
30:29 the.com Bubble where over hype
30:32 technology people get really cynical
30:35 about it or they get really over hyped
30:37 about it and they're like oh yeah it's
30:38 going to be big and ai's going to be
30:39 good and
30:42 like all that sort of [ __ ] and and you
30:45 see a story like Anton's story and
30:47 you're like well [ __ ] this stuff is this
30:49 AI stuff is transformative at a very
30:52 human level right like an incredible
30:56 amount of people that have all sorts of
30:58 disabilities at all sorts of levels even
31:00 Leo was Leah tonight was talking about
31:03 being neurodivergent and how these tools
31:06 give her kind of a superpower I feel the
31:08 same way with with my ADD like it's
31:10 allowing me to be productive at a level
31:13 that I haven't ever been able to be in
31:16 my life and that's like a really minor
31:18 way but it's the the the impact of this
31:21 stuff is is profound and some of it is
31:24 like profoundly positive and then
31:27 there's this kind of overhang of the
31:28 robots are going to kill us and it's
31:30 just Tech Bros doing their thing and
31:32 they need so anyway
31:34 um so it was a it was a good
31:35 conversation
31:38 um and an inspiring film so there you go
31:40 write a sympathy card okay
31:43 write a sympathy card
31:45 about what did you hear about the Arabic
31:48 llm I have not that sounds like set up
31:52 to a joke for some reason me to Mid
31:54 Journey picture of him kissing a gorilla
31:57 exactly
31:59 exactly defense Tech I know that's
32:02 what's gonna happen like
32:04 people are just gonna go let's see which
32:06 politician don't I like this one all
32:09 right what's the worst possible
32:10 compromising position okay this one
32:13 what's the most embarrassing location
32:15 this one okay
32:16 should it be a red Corvette
32:19 Little Red Corvette yeah I think it
32:21 should be a red Corvette
32:24 and then that's just gonna end up on the
32:26 six o'clock news and we're all gonna be
32:29 like it's not real right
32:32 somebody just reached level something
32:34 on the old on the old tikitaki
32:36 congratulations thank you
32:39 all right let's see let's see Corel Draw
32:42 Photoshop video audio banana box band in
32:46 a box I I tried to make banana box work
32:48 for me
32:50 probably from 1990
32:53 one or two
32:57 until like I I bought upgraded banana
33:00 box licenses for like a decade
33:03 that interface never got better
33:06 it was always bad
33:10 it was just too complicated for me it's
33:13 Google the two voices are making me
33:16 mental please turn it down
33:19 they're making you mental what do you
33:21 think about me my voice uh I was
33:24 scrolling through Tick Tock and saw this
33:26 guy asking Jane if the tick tock was on
33:29 exactly he's fighty you're my you're my
33:32 case study of why I do this and why I
33:35 make the stupid voices Jane
33:38 Jane
33:40 Jane
33:41 are you watching The Price is Right
33:48 is this thing on
33:50 Jane is the tick tock on how do I know
33:53 when a tick tock's on Jane exactly
33:57 it's for you it's for people like you
33:59 flick flick flick wait what's this
34:01 that person seemed Disturbed what's that
34:04 cute dog
34:07 yeah life's tough it's tougher when
34:09 you're stupid yeah see not bad
34:12 all right quick draw am I late oh
34:14 Emilio's wife you're never late you're
34:16 always on time I missed the salon oh
34:19 Clint that sucks
34:21 but it was recorded so it will be up on
34:23 the YouTube
34:25 on the YouTube the YouTubes just like
34:27 the ticky tacky but the the videos go
34:30 sideways instead of up and down
34:32 the Ticky tuck this is the big
34:34 difference I'm I'm bit I'm I'm this
34:37 might be intimidating I'm a bit more
34:39 technical
34:40 um the Ticky talk the videos go this way
34:43 and the YouTube the videos go this way
34:46 and when you try to stick a Ticky talk
34:48 on a YouTube it look it looks like
34:49 garbage
34:51 but when you try to stick a YouTube
34:52 video on a ticket talk it looks like
34:54 garbage so that's it's probably more of
34:56 a technical explanation and you may be
34:58 prepared for but because you're not
35:00 educated like me but you know that's
35:03 that's because I've been I've been
35:05 studying a lot of this internet
35:07 Technologies for like three six months a
35:11 couple of months almost a year now
35:14 so you know if if it feels if you're
35:17 feeling left behind
35:19 because when you hear people like me
35:21 talk I understand and I like I don't I
35:24 don't mean to brag about how smart I am
35:27 it's just that you know sometimes it's
35:31 just like there's a reality like you
35:33 take a test and there's a score on it
35:35 and if my score is higher than your
35:36 score it's like it's not a personal
35:39 thing that I think you're a dum-dum
35:41 yeah I don't I don't think you're dumb
35:43 dumb it's just I'm like I'm more
35:46 educated in the more technical nature
35:50 of the Ticky Talk of the Youth of the
35:53 these situations
35:56 does that make sense is I hope I'm
35:57 making sense is this making sense to
35:59 people you're learning right this is the
36:01 AI learning lab her name's Ali
36:05 she's the AI learning lab oh you thought
36:07 you were coming here to learn Ai No no
36:09 this is Ally this this is she's my AI
36:11 learning lab she she she teaches me
36:15 educational
36:17 situations all right and scene
36:23 uh by the way uh for the 52 of you here
36:26 right now this will be a useless uh next
36:29 45 minutes of your life so feel free to
36:32 leave now it doesn't get better than
36:34 this this is this is pretty much what it
36:37 is on nights like this uh I'm exhausted
36:40 so it's just you know when you get a
36:42 little Punchy [ __ ] happens
36:43 Salon is always so incredibly awesome
36:45 awesome I Feel So Unworthy to even log
36:48 in so much knowledge no don't feel that
36:50 way at all Tobias it's listen that's the
36:52 whole point of the salon it's the whole
36:54 point of this channel is
36:56 UM
36:58 we're all trying to figure this [ __ ] out
37:00 this is this is complicated stuff not
37:03 The Tick Tock vertical YouTube
37:05 horizontal that's not so stuff
37:08 uh blink twice if you need help thank
37:12 you digital gods
37:17 Champs laying over here Champ's good
37:19 we're good we're good here in the Denver
37:22 we are good here in the Denver Nancy's
37:25 here hey Nancy what's shaking What's
37:27 Happening
37:28 Jokers here
37:30 crypto zombie you're not related to
37:33 Rosie O'Donnell are you oh crypto zombie
37:35 that's such a cute one that's a cute
37:38 well we've heard that one before
37:40 you got to get into some of the deep
37:42 cuts of my D celebrity likeness
37:45 accusations
37:48 Rosie O'Donnell that's right on the
37:50 surface
37:53 my favorite was I was scrolling through
37:56 Tick Tock and I thought Alec Baldwin got
37:59 fat
38:06 oh that's a troll now that's a troll
38:10 um it looks like the children's book
38:12 version of AI learning lab it's totally
38:14 the children's book version of that
38:15 that's a good t-shirt like we're gonna
38:17 put that on a t-shirt
38:19 oh by the way speaking of this you want
38:21 to hear some [ __ ] horse [ __ ]
38:24 oh my God so
38:27 um
38:28 so I make a tick tock store
38:31 and and I because people are like we
38:35 want t-shirts we want t-shirts of like
38:37 the turtle like this image which one
38:40 that image
38:42 I'm not weird I'm irregular for the
38:44 Irregulars they're like I want that in a
38:45 T-shirt and then now we have the AI
38:48 learning lab and that could be on a
38:49 t-shirt so I make a tick tock shop and I
38:53 pair it up with printful and printful's
38:55 got a tick tock app
38:58 where you make [ __ ] on printful and then
39:01 you connect it to tick tock and then
39:03 your products show up in Tick Tock and
39:05 people in Tick Tock and click on them
39:06 and buy them don't don't buy them right
39:08 now by the way this part of the story
39:11 um
39:12 well apparently
39:14 Tick Tock and printful are fighting
39:17 so when you order
39:20 through my Tick Tock shop
39:22 it won't send the complete address to
39:24 printful
39:25 and there's no way in Tick Tock for me
39:27 to get the personal address to manually
39:30 input it into printful because they say
39:33 that sensitive information and we would
39:35 never give that to you I'm like but
39:37 there they bought [ __ ] on my shop in my
39:41 store that you're hosting like it's your
39:44 technology showing the printful [ __ ] and
39:46 they're like we don't support printful
39:47 I'm like well tell that to the [ __ ]
39:50 technology so anyway so I gotta shut
39:52 down the shop and start over somehow and
39:55 find something that works so apologies
39:58 for the [ __ ] show but you know when when
40:00 corporate entities
40:02 what probably happened is Tick Tock cut
40:06 a really Cherry deal with printify
40:09 and then printify other said make tick
40:11 make make printful not work or you know
40:16 Tick Tock went to printful and said well
40:18 we cut this deal with printify so we
40:20 want you to give us the same deal and
40:22 print printful probably said [ __ ] you
40:24 and so they just said okay yeah we'll
40:27 just not send any addresses you'll not
40:29 be able to fulfill anything how's that
40:31 sound
40:32 so there's some sort of corporate
40:33 Shenanigans going on
40:36 um the local install includes functions
40:38 too so the llm can access most system
40:41 applications that's the that's the worm
40:43 GPT yeah that one's pretty crazy
40:46 how many personalities do you have just
40:49 enough what's that George Carlin joke
40:51 um
40:53 it's like
40:54 how many times how many times do I have
40:57 to tell you
40:58 six
41:02 how many personalities do you have just
41:05 enough what does the ideogram misspelled
41:08 words wait why does ideogram misspell
41:11 the words that I put in the prompt so
41:13 Johnny's 24 honey okay
41:17 so the fact that ideogram can make words
41:20 at all is like a minor miracle if you
41:24 understand how these things work they're
41:25 they're
41:26 the way diffusion model work models work
41:29 they're starting with essentially a
41:31 noised image a completely noisy image
41:34 and it's not one image it's like they're
41:36 averaging together like thousands of
41:38 images into a single noisy image and
41:40 then just denoising it so that's how the
41:43 how the tech actually works ideogram has
41:47 figured out some way I I assume they've
41:49 got two different models one has the
41:51 typography and one has the other [ __ ]
41:53 and they're somehow melding them
41:56 so it gets the words right about 15 of
42:02 the time in my experience and so like we
42:04 can actually go play now let's like
42:05 let's go look at this and it's weird
42:07 some words it gets better than others
42:09 some words it's not good at it all
42:12 let's see
42:17 that looks wrong
42:20 each sleep design repeat
42:25 um
42:31 hold I just want to find something
42:32 interesting here oh this is good
42:38 all right so I'm going to capture this
42:42 so what I did is I just went into went
42:44 into an image oh by the way this is the
42:46 image it's pretty funny
42:48 and so I'm just going to paste that
42:51 prompt in up here it says typography
42:55 illustration
42:56 [Music]
42:58 illustration
43:00 conceptual art where's conceptual art
43:03 there's conceptual art okay so we can
43:05 get rid of these now
43:09 The Simpsons run a meth lab with a
43:11 vintage surreal Bauhaus inspired design
43:13 principles so The Simpsons run a meth
43:17 lab
43:18 and then let's see
43:21 this is weird it it wrote it wrote that
43:24 I guess because they said typography
43:26 here
43:27 so Simpsons runs a meth lab
43:32 I'm gonna I'm just gonna say comma and
43:35 then I'll put in quote marks AI learning
43:38 lab it'll be interesting to see if it
43:40 gets this right or not
43:42 I'm gonna make it a vertical poster
43:45 let's see what it does
43:47 here's the I wouldn't call this a hack
43:50 for for
43:51 um
43:53 for ideogram but it's kind of a hack
44:01 all right so three of them don't have
44:03 any
44:05 any text whatsoever this one's got some
44:07 text and it says AI lapia or lapsea or
44:12 lapia whatever
44:15 um
44:17 so something's wrong there so I'm gonna
44:18 I'm gonna take my text and I'm going to
44:21 cut it from the end and I'm going to put
44:23 it at the beginning
44:27 and I'm going to put display text
44:33 AI learning lab comma
44:37 Simpsons let's see what this does
44:45 oh I bet I know why though
44:48 there's so much light spilling oh yeah
44:51 I've got
44:53 hold please
44:57 I have fingerprints all over my lenses
45:00 if you're wondering why the back camera
45:01 looks like [ __ ] it's because it's
45:04 filming through a layer of peanut butter
45:08 yeah that's better
45:11 um
45:15 so we still didn't get any words this
45:18 has some words but they're not there
45:19 this one says meth lab and it's not
45:21 Simpsons and it's not AI learning lab
45:23 but what I've what I've learned is if
45:25 you click on one of the ones that's kind
45:28 of close that's got some words on it and
45:30 you just hit remix
45:32 and just keep remixing it it'll
45:34 eventually get some of the words in
45:36 there so if you get something that's
45:38 close but not quite there just remix it
45:41 and then you'll eventually get one
45:42 that's close
45:44 um but if you try to get if you try to
45:46 get words like this in uh oh this looks
45:50 like it's going to do AI learning Lab
45:51 look at the bottom there that's looking
45:53 pretty close
45:56 yeah that's pretty good look that's
45:58 pretty good meth B AI learning web okay
46:02 we're keeping this one this one this
46:04 one's going
46:05 we're keeping this one wow why does he
46:08 have drug references in in AI learning
46:11 lab that doesn't seem appropriate at all
46:12 I thought this was a children's channel
46:14 what what is he doing with his life what
46:17 is he doing with his life why does he do
46:18 this
46:19 why does he do this
46:22 um what am I doing I'm doing this I'm
46:23 going to save it save image as
46:26 and then we're going to put it here
46:28 we're gonna do meth lab
46:31 and and then we're gonna go to
46:43 all right hope that helps
46:48 Simpsons
46:49 [Music]
46:55 um
46:56 all right
46:59 how much would our bills be this month
47:01 if we were still on dial-up paying by
47:03 the minute yeah for this channel it
47:05 would be a [ __ ] fortune wouldn't it
47:07 man that was amazing how many
47:09 personalities do you have I retina
47:11 yes that was my
47:14 my uh
47:15 World ID they scanned my
47:18 my Iris and they compared my uniqueness
47:21 with other human beings in the database
47:23 and then they threw out my biometric
47:25 data according to them
47:27 your poor Mom oh yeah and wife and kids
47:30 and dog it's rough it's rough the local
47:35 install includes functions too so the
47:37 llm can okay we talked about that why is
47:40 Tick Tock just bouncing me all over the
47:41 Jane
47:43 why is The Tick Tock acting weird
47:47 um are you related to Rosie O'Donnell we
47:50 had that one any good AI for mobile yes
47:55 well I don't know if it's good for
47:57 mobile but
48:04 go to the App Store and search for Pi Pi
48:08 personal assistant
48:11 the company is in flexion the app is
48:13 called pi as in the number not the food
48:17 product
48:18 and
48:20 it is a conversational
48:24 large language model so it's like chat
48:26 GPT
48:27 it's connected to the internet and it's
48:29 designed to you put it into voice mode
48:34 and when you put it into voice mode you
48:35 just talk to it and it talks back and
48:38 it's really good for that
48:40 it's not great like you can go to Pi dot
48:42 AI on the web you can go to the web
48:44 version of it and just use it like chat
48:46 GPT but it's so chatty that it you'll
48:50 want to you'll want to break your
48:51 machine
48:52 you're like can I just have a list of
48:54 this I would love to give you a list of
48:56 that you know
48:57 now that you think of it what would
48:58 really help me is if you could clarify
49:00 why you want a list of that I want a
49:02 list because I just want a [ __ ] list
49:03 could you just give me the [ __ ] list
49:05 that is a I can understand your
49:07 frustration that must be really
49:08 frustrating but you know what really
49:09 helped me
49:11 but when you're talking to it when you
49:14 just put it in voice mode and like throw
49:16 it in your Bluetooth on your car and
49:18 just be driving around the city talking
49:20 to chat GPT connected to the internet
49:22 it's insane
49:24 they also raised
49:27 1.3 billion dollars in flexion the
49:30 company behind Pi dot AI so
49:33 they're going to be going some places
49:35 they're going to be turning that pie
49:36 that cute little conversational AI is
49:39 gonna get might I'm out of powerful it's
49:41 going to get Mighty powerful
49:43 What's it gonna do Kyle it's going to do
49:45 stuff for you you're just gonna say hey
49:47 pie
49:48 I'm thinking about a vacation
49:50 do I have enough money and Pie's gonna
49:53 go oh let me go check your bank account
49:55 oh it doesn't look like you do but you
49:57 have this much credit on this credit
49:59 card
50:00 you want to put that on a credit card
50:02 okay can you get me a deal oh let me go
50:05 look let me go buy you tickets
50:07 so these these uh these tools are going
50:10 to get quite
50:11 they're gonna get quite Hands-On with
50:13 our data Jane stop this crazy thing
50:17 there was a there was an a joke I had
50:20 with a bunch of actors like it might
50:22 have it might have been a stand-up
50:23 comedy actor it might have been just the
50:25 local group actors but we always used to
50:27 joke about the auditions for Jane Jane
50:30 stop this crazy thing Jayden stop this
50:32 crazy thing and you know you get method
50:35 actors in there Jane stop this
50:38 crazy thing
50:40 oh
50:44 uh one of these days will AI achieve
50:47 well AI achieved the salon it might AI
50:51 might host the salon
50:53 that was that was a lot tonight can you
50:55 imagine the credit card companies paying
50:57 to influence what you AI share
51:01 Maybe
51:03 I am viable I I'm totally viable like if
51:09 all of a sudden you see me like
51:13 you know I've been bought I've been
51:15 bought up well let me tell you about
51:18 this this app although you know not for
51:20 nothing but like the fact that I just
51:22 put these URLs up here you know hours at
51:25 a time overnight and talk about how
51:28 awesome they are
51:29 that's uh
51:31 that's something worth paying for ain't
51:33 no one paid me yet ain't no one gave me
51:36 the money I ain't got nothing I ain't
51:39 got nothing MR Salon today
51:42 uh another ADHD Miss oh Silver Fox
51:45 that's too bad we recorded it but we'll
51:47 be there in two weeks we'll be there you
51:49 hang out here you get there you you get
51:52 plenty of this you have plenty it was
51:56 enough it was a good one though it was a
51:57 good conversation tonight
52:00 um that's why I'm learning because of my
52:02 disabilities oh that's very cool yep
52:04 change Mankind's thoughts loved the name
52:07 that's super cool
52:09 majority in here including the host is
52:12 neurodivergent how dare you cocklaw we
52:15 even have our doctor here it's true yeah
52:19 we're neurospices we like to say we're
52:21 neurospacey this is chat add
52:24 welcome to the AI learning lab where
52:27 wait wait for it
52:31 where we have a lab
52:37 who said hi to me someone said hi Kyle
52:39 where did it go
52:42 oh Robert Rossi what's happening man
52:45 how you doing what's shaking oh by the
52:47 way uh there's 44 of you in here I'm 99
52:50 messages behind so hey everybody can we
52:53 have an age poll of the people here yeah
52:57 sure
52:58 pop in how old you are let's let's see
53:00 I'll jump down to the bottom
53:02 how old are you I'll go first I'm 58.
53:04 five eight five eight fifty eight years
53:07 five decades eight years 57 45 50. yeah
53:12 I think we got Gen X baby Gen X Gen X
53:14 Emilio's wife not admitting the actual
53:17 age she's she's just giving the category
53:20 cockload 36.
53:22 digital God 67 user 6162 was 27. you
53:27 listen user user six one six one two six
53:30 two seven five oh one three two do
53:33 something with your name you're 27.
53:35 you should have you should have like a
53:37 name and an nft like a crypto Punk
53:43 [ __ ] Avatar what are you doing
53:46 are you just like the conscientious
53:47 objector of gen Z the [ __ ] is happening
53:51 come on Snap two
53:53 I'm 27 and I don't believe you just
53:55 asked Emilio yeah yeah I'll believe that
53:58 56 50 64. yeah we're old in here this
54:02 this is a this is a this is what you
54:04 would call a uh a respectable
54:06 demographic
54:09 respectively undesirable from the
54:11 advertising community
54:15 they want the young hot kids it's hot
54:18 it's hot it's hot hot indictment summer
54:25 I'm not even sure Emilio exists that's
54:28 pretty funny
54:28 [Laughter]
54:31 um all right I'm gonna go answer some
54:33 more questions up above let's see
54:43 CV we're lucky Ruff lull
54:48 chechi BT has good mobile yeah chat GPT
54:51 is pretty good mobile
54:53 um Jane stopped this crazy thing it's
54:55 called something different Kyle I don't
54:57 know what it's better than Ari
55:00 Kyle's been verified by a machine to be
55:02 human it's true
55:05 it is true a machine verified me
55:08 but the thing about that world ID that
55:11 it didn't really hit me until I got it
55:15 is that
55:18 it is a unique
55:21 idea of me without any of my identifying
55:25 information on it it's Anonymous right
55:27 that was the big word the biggest word
55:29 on that ID is anonymous
55:32 but I'm the only one who can present it
55:35 I'm the only one who can use that ID for
55:37 any kind of transaction because I have
55:39 the secret key it's my wallet that's how
55:42 the crypto [ __ ] works and so it is a
55:45 zero
55:47 you know
55:48 a zero proof identity
55:52 no one needs to know it's me they just
55:54 know that I'm human which is kind of
55:56 cool
55:58 like personal assistant AI yes pie
56:02 exactly
56:05 um chatty AI LOL yeah chatty GPT Pi dot
56:09 Pi dot the PI app is chatty GPT
56:11 definitely I saw that Google is working
56:14 on a digital detect feature that employs
56:16 a permanent Watermark yeah they're
56:18 they're
56:20 um
56:21 so so the way I understand what Google
56:24 did is is they're saying
56:26 we're gonna build into any image
56:28 generation tool that
56:30 that we build we Google build
56:34 we're going to build in digital
56:35 watermarking that's not a visual
56:37 Watermark it's a it's a you know it's
56:39 like a signature in the code in the you
56:42 know in how the image is encoded
56:44 it's it's it's jammed in there so so you
56:47 can't you can't edit it out basically
56:51 my question is like I don't I don't
56:55 quite know how it works so at what point
56:57 in sort of photo manipulating it if you
57:00 take one of those AI generated images
57:02 into Photoshop and you start layering it
57:05 with other things and you start
57:06 photoshopping out certain pieces and
57:08 you're copying and pasting pieces of it
57:10 does it retain the like at what point
57:13 does it cease being an AI generated
57:17 image
57:18 so so that's so one thing they're doing
57:20 is that there's kind of this assumption
57:22 that
57:23 AI generated art and AI generated chat
57:27 GPT [ __ ] is all going to be like push
57:29 the button get an image you know type in
57:32 the prompt get out of magazine article
57:34 that's not my experience with using
57:38 these tools at all right like oh like
57:40 I'll like this dude right here has five
57:44 feet I took that into Photoshop and got
57:46 rid of the fifth foot
57:48 so is that an AI generated image well it
57:52 is but I got rid of the foot and I
57:54 extended the edges and I did a bunch of
57:56 [ __ ] to it at what point is it mine I
57:59 don't know
58:00 the other thing that they did is they
58:02 made that watermarking technology a
58:05 standard so they're basically saying
58:06 anyone else who wants to Watermark
58:09 AI generated images can do that
58:13 and so they're trying to make it a
58:15 standard I just don't know I just don't
58:17 know the value of it like like
58:22 does it really [ __ ] matter if a
58:25 photograph was taken with a film camera
58:27 or a digital camera
58:30 like if the photograph is the photograph
58:32 does it matter well
58:35 when all there were were film cameras
58:38 and Along Came digital cameras it was a
58:40 big [ __ ] deal because photographers
58:42 are like that's not real photography we
58:45 should somehow treat that differently
58:46 because that's not a real photograph
58:48 well after some amount of years yeah
58:51 it's a real photograph
58:53 it's just a different way to do it
58:56 and these things are going to be similar
58:58 it's like I don't know I don't know I
59:00 don't know the value of the watermarking
59:02 thing I really don't
59:04 now what would be valuable here here's
59:06 what I think would be valuable
59:09 if I'm the New York Times or I'm
59:11 whatever whatever news organization
59:15 and
59:16 I write an article
59:19 and I attach an image to that article
59:21 whether that image was
59:24 AI generated or not if it if if I as the
59:27 New York Times from an editorial
59:29 perspective think that this photo goes
59:32 with this article
59:33 and I put that out in the world
59:37 does it really matter if that article
59:39 was 50 written by a person 100 written
59:44 by a person zero percent written by a
59:46 person what seems to me more valuable is
59:49 some sort of Watermark that says this is
59:53 the original article that the New York
59:55 Times put out there with the original
59:57 image that the New York Times put out
59:59 there and here's a watermark that says
1:00:01 this hasn't been tampered with and if
1:00:03 you tamper with either of these elements
1:00:06 in any way that Watermark breaks
1:00:09 that seems to me to be valuable
1:00:11 just being able to say like was this AI
1:00:14 generated just because it's AI generated
1:00:16 doesn't implicitly make it bad that's
1:00:18 kind of the the implication of all this
1:00:20 you know chat gbt detectors ai's bad AI
1:00:24 is bad unless it's not
1:00:28 it's all about the use case
1:00:31 and it's about who's using it and how
1:00:33 they're using it right so I don't know
1:00:36 chaos generation I don't have a I don't
1:00:38 have a good answer on that one I just I
1:00:40 it just feels like a bunch of wasted
1:00:43 engineering cycles and a wasted brain
1:00:45 power for for a very temporary time in
1:00:49 history where we need to know if the
1:00:52 robots made that oh hello oh that's
1:00:55 fantastic oh
1:00:57 that would go with my purple boots like
1:00:59 you don't even know
1:01:01 um
1:01:02 right I mean
1:01:05 is it gonna [ __ ] matter three years
1:01:07 from now do you think we're gonna give a
1:01:09 [ __ ]
1:01:10 that something was AI generated or AI
1:01:14 assisted or AI helped or AI hinted or we
1:01:19 did grammar checking with AI no
1:01:23 who's gonna give a [ __ ]
1:01:26 chatty bot is my nickname for it it
1:01:29 calls me chatty human oh that's really
1:01:31 funny pot for pie chaos generation on
1:01:34 all media created by AI we are just at
1:01:36 the beginning we are absolutely just at
1:01:38 the beginning hopefully in that same
1:01:40 voice
1:01:44 pie might be great for isolated older
1:01:46 people to talk to I was thinking that
1:01:48 exact same thing done done done a Smith
1:01:52 1956. I like the name it's just you got
1:01:56 all of it right there we're just gonna
1:01:57 go complete doxing ourselves the the
1:02:00 only way to complete that name any
1:02:01 further is put your social security
1:02:02 number at the end of it that's solid
1:02:04 though I like it uh
1:02:09 hey everybody can we have an age pull oh
1:02:12 we did that so let's get past all the
1:02:14 ages here
1:02:17 and get down to some more questions and
1:02:20 comments questions and comments and
1:02:23 questions and comments
1:02:31 paint's here
1:02:33 welcome Pete
1:02:35 I like paint
1:02:37 I think Pate comes in just to keep us
1:02:39 all humble because pate's an actual data
1:02:42 scientist working on machine learning
1:02:44 he's paid's one of the guys that makes
1:02:46 this [ __ ] work you know when you just
1:02:48 type [ __ ] in chat GPT or in Google bard
1:02:50 and just [ __ ] happens
1:02:52 hates the reason
1:02:54 he's like doing the [ __ ] fancy math
1:02:57 to make sure that [ __ ] just works
1:03:00 this is I'm I'm I am my engineering
1:03:03 team's worst nightmare I'm the I'm the
1:03:05 worst kind of product
1:03:07 um client because
1:03:09 they're like they're like what are the
1:03:12 acceptance criteria and I'm like
1:03:15 um it should [ __ ] work
1:03:18 foreign
1:03:20 that's the criteria is it should not
1:03:23 suck they're like that's not specific
1:03:25 enough well
1:03:28 here look I I do this and it do not work
1:03:32 that bad
1:03:34 oh [ __ ] I didn't plug in my phone I'm
1:03:37 about to die
1:03:39 I'm about to die hang on people hang on
1:03:41 just calm down just all of you comb
1:03:44 right down
1:03:45 you can't sell rambunctious in here what
1:03:47 time is it
1:03:50 10 45 I gotta go to bed people
1:03:54 what do you think this is
1:03:55 all right
1:03:58 Chad EDD it's particularly add tonight
1:04:01 it's 880 add riffic tonight you you've
1:04:05 gathered your people Kyle I have
1:04:08 what website can print me an avatar and
1:04:11 crypto image
1:04:13 um I don't know what do you mean print
1:04:15 you one
1:04:17 print you an avatar Oh you mean make an
1:04:19 avatar
1:04:22 um and I don't know what a crypto image
1:04:23 means like like an nft like you own the
1:04:26 image or you want to take an nft and you
1:04:28 want to print it I don't quite know what
1:04:30 you mean Jesse from Austin
1:04:32 um not down with ageism
1:04:34 yeah and uh I listen here's the deal
1:04:39 with the with the ageism stuff I I I
1:04:41 experienced it when I first moved to uh
1:04:44 to Boulder I was like oh like I'm a
1:04:47 successful entrepreneur I've had an exit
1:04:49 I'm moving into this entrepreneurial
1:04:51 town I'm starting this new company all
1:04:53 of the you know Gen X style
1:04:57 entrepreneurs in the town are going to
1:04:59 be sweet to see me and they're going to
1:05:01 want to hang out and do cool [ __ ] nope
1:05:05 they had no [ __ ] interest they were
1:05:08 interested in you know a couple of 20
1:05:10 somethings in a case of Red Bull
1:05:12 to to you know to do their startups so
1:05:15 it was weird and what's what's funny
1:05:18 about the AI stuff is you know I've said
1:05:21 in here before I think that AI does two
1:05:24 things that I think are going to be
1:05:26 really interesting oh you're not a data
1:05:27 scientist what are you pate
1:05:30 um
1:05:31 but you still work for the goog if
1:05:33 you're working for the goog and you're
1:05:34 in some sort of tech optimization thing
1:05:36 whether you're a meth I I do fancy them
1:05:39 I do the fancy math though see see I
1:05:42 Like You Can't Hide You have a PhD for
1:05:46 one thing you're working at Google for
1:05:48 another thing you're working on machine
1:05:50 learning at Google for a fourth thing
1:05:52 and you're talking about you help
1:05:54 optimize the [ __ ] whether or not you are
1:05:57 a mathematician there
1:06:00 um
1:06:01 does not mean you ain't good at this
1:06:04 [ __ ]
1:06:05 watching me try to do code interpreter
1:06:07 is hilarious because I've I know so
1:06:09 here's the deal hey I know so little
1:06:12 about math I don't know how to use
1:06:14 Wolfram Alpha because I don't know what
1:06:16 to ask it like when I see a mathematical
1:06:18 formula I'm just like okay it's pretty
1:06:21 letters like I like how they're in
1:06:23 different levels it's it's really bad so
1:06:26 you got to be better than that
1:06:30 um
1:06:33 um the ageism thing so
1:06:36 so I think that if I were to start a
1:06:39 company right now
1:06:42 I would lean to it and it's so funny a
1:06:45 year ago like before Chad TPT came out
1:06:47 if I were to start a company
1:06:49 I would do what I think most people
1:06:52 would do I would say you know get me a
1:06:54 co-founder where we've got complimentary
1:06:56 skills and then we would find a handful
1:06:59 of Young Smart ambitious people who are
1:07:02 willing to learn and then we kind of
1:07:04 build the company and we train them up
1:07:06 and and you know over you know the year
1:07:08 or two or ten that you're making a
1:07:10 company those those young people grow
1:07:12 into their roles and you do all that and
1:07:14 it it makes sense for them it gives them
1:07:17 opportunity it makes sense for the
1:07:19 company because they don't cost as much
1:07:20 because they're younger and and you know
1:07:23 everybody wins
1:07:25 with AI I don't think I'd start a
1:07:27 company like that anymore I think I
1:07:29 would rather than take in you know two
1:07:33 old people Founders and three or four
1:07:35 young people I would probably get three
1:07:37 or four Gen X
1:07:40 founders
1:07:41 that
1:07:43 have been on the pla well they've
1:07:44 obviously been on the planet for a while
1:07:46 but have been in you know whatever their
1:07:47 profession is for a lot of years
1:07:50 because they're going to be able to look
1:07:52 at the output of this AI stuff and just
1:07:54 instantly be able to tell whether it's
1:07:56 good or not and so I think that critical
1:07:59 thinking and curation and refinement
1:08:02 are much more important skills moving
1:08:05 forward than being able to crank out the
1:08:07 work like we ask of young people so
1:08:11 it's so I'm calling it revenge of the
1:08:14 Revenge of Gen X you know I think having
1:08:17 Gen X people in companies is going to be
1:08:20 it's gonna come back in fashion
1:08:24 for some time
1:08:25 yeah I know I'm not down with ageism too
1:08:27 but what are you gonna do I just retired
1:08:29 from TV
1:08:30 and they are asking my age well
1:08:33 well Dawn that's the uh
1:08:36 that's that business
1:08:38 that is that business and it is not kind
1:08:40 to women man it is not I have some fancy
1:08:43 math U equals g plus h plus c
1:08:48 I would imagine that formula that you
1:08:51 put up there is probably a joke but like
1:08:53 I'm too dense with math to even get it
1:08:57 did we just learn that everyone here is
1:08:59 old I'm pretty sure we just learned that
1:09:00 everyone hears old except for user six
1:09:03 one six two one two one three four eight
1:09:07 oh one two six
1:09:09 is 27.
1:09:13 we we I I
1:09:15 um understandably made fun of their name
1:09:23 was here for Kyle's anti-balding tips
1:09:25 well it's I would listen it it's I'm
1:09:30 happy with the amount of hair I have for
1:09:33 the age I am but my forehead is
1:09:36 significantly larger than it was a
1:09:38 decade ago so and I don't think it's
1:09:41 because my brain group
1:09:43 I think I think that's clear the big AI
1:09:47 Senate hearing is tomorrow it's closed
1:09:49 door no press yeah that's the one
1:09:51 they're having
1:09:54 basically they're
1:09:58 uh it's so [ __ ] exhausting so Chuck
1:10:01 Schumer called it
1:10:04 and then
1:10:05 like it's like a list of like
1:10:08 eight
1:10:09 eight men like there were no women and
1:10:11 then one or two women were invited at
1:10:14 the last minute as like oh we forgot the
1:10:17 women this is probably gonna look bad if
1:10:18 we don't have women
1:10:20 so
1:10:21 I don't know
1:10:23 yes
1:10:24 it's it's not that hard is it apparently
1:10:28 it is
1:10:29 uh
1:10:32 but that will be interesting to see what
1:10:34 comes out of that I mean Schumer says
1:10:36 that you know they're gonna they're
1:10:37 gonna talk seriously they're gonna come
1:10:39 out with some sort of [ __ ] point of
1:10:40 view on AI which good I think they
1:10:42 should
1:10:46 I mean they have some smart folks in
1:10:48 there xerox's as Xerox copy as photo key
1:10:52 deleted
1:10:54 all organisms are important wait I
1:10:57 misspelled them a certain word in my
1:11:00 head uh
1:11:02 that's funny that's very funny
1:11:06 I just think of my years of expertise
1:11:09 being put to good use been remixing
1:11:11 businesses exactly Silver Fox remixing
1:11:15 businesses taking [ __ ] you learned in
1:11:18 college that didn't find its way into
1:11:20 your life in in a professional setting
1:11:23 and all of a sudden these tools let you
1:11:25 kind of reinvigorate that part of your
1:11:28 life and then mix that with the [ __ ]
1:11:29 you've been doing professionally and
1:11:31 then oh [ __ ] that's a completely
1:11:32 different business exactly
1:11:35 the level of reinvention that we all get
1:11:38 the chance to do right now is absolutely
1:11:40 Bonkers Bonkers Bonkers why no nft the
1:11:46 every image
1:11:50 um
1:11:50 because
1:11:52 minting nfts is well so if you're
1:11:56 talking about why not nft the if you're
1:11:59 talking about when I was talking about
1:12:00 the New York Times
1:12:03 um
1:12:04 putting their image out there and and
1:12:07 verifying that that wasn't [ __ ] with
1:12:09 yeah that's an NF like it's an nft or
1:12:11 it's some sort of tokenization
1:12:12 Technology some sort of blockchain
1:12:14 technology or some other tokenization
1:12:16 technology that's exactly what I'm
1:12:18 talking about I think that's going to be
1:12:19 important
1:12:21 all right we got a poll there's a pole
1:12:24 go take the pole
1:12:27 where are you in your generative AI
1:12:29 Journey
1:12:32 every paper I ever wrote was pretty much
1:12:35 pleasure plagiarized unless sighted yeah
1:12:37 of course what weren't all of our papers
1:12:39 except you know for people that really
1:12:41 took that [ __ ] seriously
1:12:44 that provenance is a case for blockchain
1:12:47 a lot nfts exactly the the yeah that's
1:12:50 that's the reason the reason I'm excited
1:12:52 about having my world ID thing is like I
1:12:54 don't really give a [ __ ] if that's it
1:12:55 but like it feels like a good first step
1:12:58 to me in
1:13:00 nfts not being about
1:13:03 nft Bros going you can make a fortune
1:13:06 with nfts you can make money with nft
1:13:08 right that [ __ ] crowd they they
1:13:11 deserve the time out there in the middle
1:13:13 of right now
1:13:15 the technology though is interesting and
1:13:17 and it is going to be needed so so I
1:13:20 think that AI ultimately drives the
1:13:22 adoption of blockchain and nft
1:13:25 you're being very naive with your
1:13:28 examples and aren't thinking about Bad
1:13:29 actors
1:13:32 um
1:13:32 probably I'm trying I'm just trying not
1:13:35 to focus on Bad actors if you look if
1:13:38 you look at I showed earlier before you
1:13:40 got here paint I showed worm GPT have
1:13:43 you seen worm GPT it's a it's an open
1:13:47 source unrestricted autonomous agent I
1:13:50 think it's 100 bucks a month or
1:13:52 something like that and they're they're
1:13:53 basically marketing that to people that
1:13:56 want to do bad [ __ ] so yeah
1:13:59 I don't
1:14:02 yes
1:14:04 I am I am purposefully I am purposely
1:14:08 not focusing on all the bad [ __ ] that
1:14:10 can happen with this stuff
1:14:12 um not out of night naivete but I feel
1:14:15 like
1:14:16 that
1:14:17 narrative is covered
1:14:20 right I feel like every News Channel's
1:14:23 got the story about are the robots gonna
1:14:25 kill us
1:14:27 what's this thing let's chat gbt and
1:14:30 infiltrating nuclear power plants
1:14:35 what if AI takes down the power grid
1:14:38 but if AI launches nuclear missiles I
1:14:41 feel like it's covered
1:14:42 I also can't do anything about it
1:14:45 I mean I don't have any interest in I'm
1:14:47 not a hacker I'm not a white hat or a
1:14:49 black hat hacker
1:14:51 I'm interested in you know real people
1:14:53 using this [ __ ] so it's yeah it's I
1:14:56 don't know if it's a blind spot it's a
1:14:58 consciously ignored spot
1:15:00 did you show The Voice coder for the
1:15:03 office yesterday
1:15:07 oh oh no I didn't go Eric forner
1:15:13 I'm trying to think where you sent me
1:15:15 those links
1:15:20 I forget where they are I don't remember
1:15:22 sorry
1:15:24 did you show the Matthew Craig official
1:15:27 email today
1:15:28 I don't think so hang on
1:15:32 [Music]
1:15:38 [Music]
1:15:38 um
1:16:00 [Music]
1:16:01 um
1:16:04 convert computer voice comparison at the
1:16:07 verge
1:16:09 so this was
1:16:11 so Matthew Craig sent this to me or
1:16:14 the goat Eric former
1:16:17 so these are
1:16:21 we transcribed text and fed it into
1:16:23 every AI generator we tested
1:16:28 so
1:16:30 here's
1:16:32 podcastle what is my Perfect Crime I
1:16:35 break into Tiffany's at midnight do I go
1:16:38 for the fall no I go for the chandelier
1:16:40 it's probably here's the script what is
1:16:43 my Perfect Crime I break into Tiffany's
1:16:45 at midnight do I go for the vault no I
1:16:48 go for the chandelier it's priceless
1:16:50 here's Apple personal voice which I hate
1:16:53 what is my Perfect Crime I break into
1:16:56 Tiffany's at midnight do I go for the
1:16:58 vault no I go for the chandelier it's
1:17:01 Priceless the Apple one's so shitty it's
1:17:03 got like noisy artifacts and weird [ __ ]
1:17:06 and then here's 11 Labs what is my
1:17:08 Perfect Crime I break into Tiffany's at
1:17:10 midnight do I go for the vault no I go
1:17:12 for the chandelier it's Priceless I love
1:17:15 it what he says is 11 Labs is better I I
1:17:18 mean I like it it's but I gotta tell you
1:17:20 the
1:17:22 all all of those including 11 Labs feels
1:17:25 really uh whatever you call it to me
1:17:29 um fake
1:17:30 but this
1:17:32 this uh Hey gen thing organizations
1:17:43 that feels way more real to me but it's
1:17:47 not the same thing the the things that
1:17:49 the samples that I just played were
1:17:53 pure synthesis only right they're taking
1:17:56 text and turning turning that into a
1:17:58 voice based on the model
1:17:59 this is they're generating the model and
1:18:03 then they're somehow mixing my original
1:18:04 recording the Cadence and the
1:18:08 in the uh
1:18:10 uh pitch
1:18:12 and modulation of it with the
1:18:15 synthesized model and so it's making
1:18:17 something that's much much more natural
1:18:20 none of them are as good as you speaking
1:18:22 Italian exactly
1:18:27 like that's that's [ __ ] real but
1:18:30 that's starting with a human Source
1:18:31 right so you start with a human source
1:18:33 and source and you synth on top of it it
1:18:37 seems to be more betterer
1:18:41 all right I'm gonna do a few more
1:18:43 questions and I'm gonna get out of your
1:18:45 hair because you know look at my hair my
1:18:47 hair is normal tonight it's like a
1:18:49 normal sort of situation
1:18:52 I don't know what happened I apologize I
1:18:55 know some of you come here to see the
1:18:57 quaffery
1:18:58 and and how it sometimes goes awry and
1:19:01 it didn't do it tonight I'm the only 20
1:19:04 year old in here
1:19:06 um clip per flare no oh wait Kip oh
1:19:09 Cipher Cipher flare I like the name 9.5
1:19:13 out of 10. solid
1:19:15 um no there was a there was unless
1:19:17 you're the one that had user you know
1:19:19 six one six one two eight eight four
1:19:22 nine and you changed your name to Cipher
1:19:23 flare
1:19:25 um now we've had young people in here
1:19:26 before they they usually say something
1:19:29 like
1:19:30 um isn't that cute the elderly are
1:19:33 teaching each other how to use computers
1:19:35 or
1:19:36 um when are you gonna trim your nose
1:19:38 hair that was a good one or
1:19:47 the young people are mean you know
1:19:50 because because here's what the young
1:19:52 people young people don't realize you
1:19:54 know we're all gonna die right young
1:19:56 people are still like it's a party
1:19:58 older people like oh yeah [ __ ] it's not
1:20:01 that long now so we're all kind of
1:20:03 chilled out we're just sitting around
1:20:04 going can we just not be douches to each
1:20:06 other and the young people go in trim
1:20:08 your nose here you big old fat [ __ ] so
1:20:12 um you are
1:20:14 the nicest 20-something in here oh this
1:20:17 this is user number so and so all right
1:20:20 Cypher flare so look look what you do
1:20:22 look look at the Improvement you went
1:20:24 from a a a comically generic name to
1:20:28 you've got an avatar you have a really
1:20:30 cool name 9.5 out of 10 and you're
1:20:33 asking like actual questions without
1:20:34 being total douche nozzle so you are you
1:20:39 are a an honorary gen xer
1:20:42 so congratulations for not sucking
1:20:48 hey Mom the old people think I'm cool
1:20:50 that's bad quit now
1:20:54 all right missed you last night so glad
1:20:56 to see you today thank you very much I
1:20:58 appreciate that
1:20:59 [Music]
1:20:59 um
1:21:02 make it great so everyone rubbernecks
1:21:04 the young people just yell Boomer and
1:21:07 leave yeah they do that too
1:21:09 and then and then I'll go like I'm not a
1:21:11 boomer I'm a Gen X and they're like Well
1:21:13 you certainly sound defensive for if
1:21:14 you're Gen X it sounds more like a
1:21:16 boomer to me trim your nose hair
1:21:20 listen
1:21:22 I'm too drunk for young people tonight
1:21:24 I'll just say what I really think
1:21:32 if you were the first time viewer put
1:21:34 one in the comments put two of your
1:21:36 return and three if you're in a regular
1:21:38 that's I like that I like that poll AI
1:21:41 is lying not always many times my
1:21:44 nickname for chat EPT is mansplaining as
1:21:46 a service so it does hallucinate it does
1:21:48 lie and if you get better at prompting
1:21:52 you can make it do that less and then
1:21:54 you can also get better at recognizing
1:21:56 it more the more you do it so if you get
1:21:59 better it gets better
1:22:01 funny how that works
1:22:04 put in your hundred hours see if you
1:22:06 can't get it better
1:22:07 did you show The Voice coder for the
1:22:09 office I just did that
1:22:12 [Music]
1:22:13 did you watch the all-in podcast from
1:22:16 the all in Summit I did not
1:22:19 yeah that's completely Fair take no need
1:22:21 to beat the dead horse here oh yeah yeah
1:22:25 um AI is sugar coating unless you come
1:22:29 correct wait AI is sugar coating unless
1:22:32 you come correct
1:22:35 oh me a UIC I don't know what you mean
1:22:38 what you mean a magic
1:22:42 oh hey Mark I do not know what you mean
1:22:46 a sugar coating unless you come correct
1:22:49 I do not know what you mean
1:22:52 yeah sugar coating unless you come
1:22:54 correct
1:22:56 hey Mark I do not know what you mean
1:23:02 the 27 year old come in bold listen your
1:23:07 27 year old with a [ __ ] game I like
1:23:09 it like you actually are just like
1:23:12 having a conversation and just
1:23:14 like you're living life with Integrity I
1:23:16 ask you what are the 147 names of God
1:23:19 try to get it to tell me AI God's name
1:23:22 yeah well it's it's so it's got first of
1:23:25 all
1:23:26 it's got safety guard rails so it's
1:23:28 going to steer around those
1:23:29 conversations second of all it
1:23:30 hallucinates don't don't try to turn
1:23:33 Chat GPT into a in into Wikipedia
1:23:36 they're not the same thing
1:23:38 what what you should do on my UIC I
1:23:43 don't know how to say your name
1:23:45 is um
1:23:49 study a bit more about how how chat GPT
1:23:51 Works rather than just saying it's bad
1:23:53 because it lies and doesn't do what you
1:23:55 wanted to do understand how it works
1:23:58 what it's good at what it's not good at
1:24:00 if you're trying to actually accomplish
1:24:02 something other than just trying to
1:24:04 stump it
1:24:05 um you can probably get it to do
1:24:07 something good I just lost my light my
1:24:09 light burned out oh no
1:24:12 all right it's probably telling me it's
1:24:13 time to go one of the 147 gods of you
1:24:17 mix shut off my light I'm sure your
1:24:20 screen please which screen
1:24:22 what are you talking about
1:24:25 worm GPT can only be purchased with
1:24:27 crypto and they suggest using Tor yeah
1:24:29 of course because because what are you
1:24:31 gonna do put it on your credit card
1:24:32 before you have it break into the
1:24:34 electric grid
1:24:37 exactly oh worm GPT you dark you dark
1:24:41 Hatters you black Hatters
1:24:43 none of them is okay that we saw
1:24:46 all right I'm down at the bottom now let
1:24:48 me let me answer another two questions
1:24:51 here
1:24:52 Gen X don't Gaff Gen X are basically
1:24:55 traumatized Boomers
1:24:58 well no no Gen X were traumatized by
1:25:03 Boomers
1:25:04 that's why we're bitter
1:25:07 we were told to leave the house
1:25:09 in the morning and not come back until
1:25:11 10 o'clock at night
1:25:15 and we didn't have cell phones
1:25:18 we had to go just like
1:25:20 hunt animals with sticks
1:25:24 [ __ ] dig holes and blow [ __ ] up
1:25:31 we're [ __ ] survivors man
1:25:36 uh who's not gonna let you answer your
1:25:39 question to show you where your
1:25:41 Consciousness has to show Evolution what
1:25:45 oh man you're all philosophical here I
1:25:47 don't quite understand your questions
1:25:49 but it seems like you're pretty
1:25:50 passionate one of him on the East Coast
1:25:52 good night good night Ted all right they
1:25:55 all yelled Boomer
1:25:57 I just answer sooner yeah exactly I'm
1:26:01 old at heart nice nice Cipher flare I
1:26:03 like it
1:26:04 good name change welcome my kids are
1:26:07 millennials they're skydivers and Cloud
1:26:09 engineers
1:26:11 do you mean Cloud Engineers like
1:26:14 Pate working in the cloud or like
1:26:17 skydivers Cloud Engineers up there
1:26:21 um get your water hydration from your
1:26:23 garden hose exactly Clint exactly
1:26:26 exactly all right listen my light burned
1:26:30 out
1:26:31 Ally the AI learning lab is very happy
1:26:33 you're here appreciate you hanging out
1:26:35 tonight
1:26:36 I'm out of here oh may I see a silver
1:26:39 fox
1:26:40 oh cool I have one of each a skydiver
1:26:42 and an engineer that's actually a cool
1:26:44 combo I bet they drive each other
1:26:46 [ __ ] crazy that's awesome Clint good
1:26:49 night chaos generation peace cocklaw
1:26:53 good to see you Joker
1:26:55 Tobias was in here Pete good to see you
1:26:58 Cipher flare thank you for hanging out
1:27:00 with us old people the elderly being in
1:27:04 here with the elderly teaching each
1:27:05 other how to use the tick tock all right
1:27:08 everybody you have a good night now Jane
1:27:11 how do you turn the tick tock off Jane
1:27:14 ah she fell asleep again
1:27:17 how do you turn this thing off
1:27:20 there's so many buttons
1:27:23 what do you do to turn this thing off
1:27:27 Jake
1:27:30 all right
1:27:32 good night everybody