aiLL 9/25/23 - The Democratization of Specialization: How AI is Changing Work & Learning

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0:01 foreign
0:15 gotta plug in my phone
0:18 got to plug in my phony phone
0:27 digital Gods what's happening
0:30 how are you
0:33 getting this thing rolling here on a
0:35 Monday night is it a Monday night damn
0:38 times weird
0:41 it feels like
0:44 yesterday was a Monday night
0:47 that means a whole week's gone by and I
0:49 have been unconscious am I late
0:52 I think they're picking on you Amelia's
0:55 wife I wouldn't put up with that crap
0:57 don't let those Irregulars pick on you
1:00 am I late
1:03 um
1:11 wow wow I can't get any bigger than that
1:14 I don't know
1:18 foreign
1:33 I'm definitely late
1:36 they're definitely trolling You Now
1:40 at least the trolls in here are fun
1:42 right
1:42 [Laughter]
1:46 AI learning live we have the best trolls
1:48 in town
1:50 oh
1:53 man
1:56 back from therapy Hot Tub oh from the
1:59 back therapy hot tub
2:01 man there's so many ways you can phrase
2:03 that sentence
2:05 from the back therapy hot tub in the
2:09 back therapy Hot Tub from the back
2:11 therapy Hot Tub yeah it's words words
2:15 punctuation
2:20 semantic clustering
2:22 we're large language models all of us
2:26 how do these hear words work
2:29 words words words
2:31 I like words or it's tasty
2:36 um welcome everyone welcome welcome
2:38 welcome welcome welcome
2:40 this is that the AI learning lab my name
2:43 is Kyle Shannon
2:45 we'll wait for some more folks to get in
2:47 share bear what's happening so happy
2:49 it's this time of day I'm a little
2:52 sleepy tonight I'm like oh I don't think
2:55 I have the energy to do this but then I
2:56 get in here and have fun so
2:59 um let's see
3:01 what are we doing
3:03 we're gonna we're gonna get started if
3:05 you would be so kind if you haven't
3:08 already uh share the live just let
3:10 people know we're here or like share
3:12 bear share some gummies thank you for
3:14 the gummies I appreciate those gummies
3:17 is tasty
3:19 gum is tasty hmm
3:25 they're all sugar
3:29 but there's a dainty
3:33 so your post about chat yeah holy crap
3:38 what a morning
3:39 the first thing I woke up to was AWS
3:43 invest 4 billion or up to 4 billion
3:46 dollars in anthropic so Claude so you
3:50 know my happy little chart oh I had to
3:52 quit
3:53 um hang on let me restart
3:56 Edge
3:58 and then I'll restart Keynote
4:01 but number two at the adults table was
4:04 is claude.ai well that company
4:08 um
4:10 a minority investment from AWS for four
4:13 billion dollars minority investment so
4:16 less than 50 percent
4:18 I don't know what it puts the valuation
4:20 at but it's
4:23 [Laughter]
4:27 you've got
4:29 Google meta open AI Microsoft Apple
4:36 um
4:37 Oracle and cohere
4:41 and then AWS and anthropic so there's
4:43 six there's probably two more
4:47 that I have either missed or just going
4:49 to be in that mix so somewhere between 8
4:52 and 10
4:54 major competitors with this chat GPT
4:57 stuff and you know I've been talking
4:58 about uh Gemini's coming and Gemini is
5:02 going to be big and I think the the
5:04 announcement today from open AI is a
5:11 a pre-emptive
5:14 let's get this [ __ ] launched kind of
5:16 thing because they they announced Dolly
5:18 a week or no four days ago and then they
5:21 announced
5:22 can talk talk listen and see today
5:28 so we're we're uh
5:30 we're headed for some wacky times you
5:33 know it's funny
5:34 wait where's my
5:36 um
5:37 where's my presentation here it is
5:42 [Music]
5:53 so
5:56 yeah so
5:58 10 billion dollar investment there four
6:00 billion dollar investment there there
6:02 who knows how many billions Bard is
6:05 Google is spending on bard
6:08 um
6:09 Bing that's part of that's the 10
6:12 billion uh Pi 1.3 billion raised
6:17 Poe and perplexity I they've probably
6:19 only raised like 100 million slackers
6:26 uh never a dull moment here in AI land
6:31 um all right welcome everyone my name is
6:33 Kyle Shannon this is the AI learning lab
6:36 I'm just getting started here as you can
6:38 see as evidenced by my lack of
6:41 my lack of professionalism being ready
6:45 I've got nothing but the best equipment
6:48 here I've got a
6:50 Sony uh inch and a half betamax
6:53 equipment running here it's 1970s
6:56 broadcast now that'd be 1980s 1980s
6:59 broadcast equipment
7:01 I mean it could be a phone but it's
7:03 probably 1980s broadcast equipment
7:05 because I'm a professional look at those
7:06 eyebrows
7:08 you think those just grow
7:10 no that's a professional makeup artist
7:13 that installs them like that
7:15 that level of coarseness you can't get
7:17 from a human body thanks ion China
7:22 and if you like but Kyle's all we talk
7:24 about here your hair and your eyebrows
7:26 pretty much
7:30 why is it called to AI learning lab I
7:32 don't know
7:33 people keep showing up
7:35 you're welcome to ask me my
7:37 qualifications I'm happy to talk about
7:38 that I am an entrepreneur I'm a founder
7:41 and CEO of a company called storyvine
7:43 that part's true
7:46 um
7:47 the eyebrow thing not so much I'm just
7:49 old I'm just old old and tired I'm old
7:53 and tired I'm like hey
7:56 yeah I'm trying to tick tock tick tock's
7:59 good you like to tick tock I like the
8:01 tick tock
8:07 um
8:07 sir what the hell are you talking about
8:09 oh
8:10 listen huberto 564. this is how we start
8:14 here and I have a hair in my mouth this
8:17 is just uh see see now there you go
8:20 digital Gods that's the perfect hat for
8:22 this moment this is absolute chaos
8:24 huberto the the nickname for this
8:27 channel is chat add if I don't start out
8:29 in chaos everyone's disappointed
8:32 you got to start out with Madness and
8:35 then the people that stick around are
8:36 like I just gotta I gotta just see what
8:38 happens here I'm I'm fairly certain the
8:40 guy's stroking out live on the internet
8:43 and then it just goes from here but
8:46 here's what we do here
8:48 I got these slides I got slides with a
8:51 bunch of sites that I recommend if
8:53 you're if you're new to generative AI
8:56 that's what this site or that's what
8:58 this live is all about that's what my
9:00 channel is all about
9:02 um I've been an entrepreneur for decades
9:04 I've started 12 or I don't know 12 13 14
9:07 15 companies in my day
9:10 um I was an entrepreneur in the mid 90s
9:12 when the World Wide Web first came out
9:13 thanks Clint and uh I was there for the
9:16 early days of the world wide web and
9:19 that was [ __ ] insane
9:21 and then this stuff came along and this
9:24 stuff's more insane and faster and
9:29 way more powerful profoundly more
9:32 powerful
9:34 um so yeah so there's that and that's
9:37 what we talk about can we talk about the
9:40 future of work we can talk about the
9:41 future of work and I'm happy to talk
9:43 about that what um
9:45 why don't I bring you up on stage
9:49 [Music]
9:52 if you're around
9:55 you may not be but if not just uh pop
9:59 what you want to talk about Clint am I
10:01 late pop what you want to talk about in
10:03 the comment there
10:08 [Music]
10:15 Beauty
10:18 there's no way hello
10:23 wait
10:25 she said there's no way and then she
10:27 disappeared anyway yeah I'm happy to
10:30 talk about the future work
10:32 um tell me what you want to focus on
10:33 it's such a broad Broad
10:35 topic you should do three minutes people
10:38 pop in the Box
10:41 wait people pop in the Box
10:44 I don't know what that means here I
10:47 should do three minutes you mean like
10:48 three minutes stand up this whole this
10:50 whole channel is like a [ __ ] two
10:52 hours stand up without the it's like
10:54 comedy without the laughs
10:57 you get it
10:59 oh yeah hey I get no respect yeah saying
11:02 that all right
11:04 um
11:06 so here's what we're gonna do if you're
11:08 no no Rodney Dangerfield I know Rodney
11:12 Dangerfield and Andrew Dice Clay were
11:15 like you know two different eras but the
11:16 same level of annoying and then for for
11:18 me it was uh it was the other one of
11:21 Gilbert Godfrey that's like all of them
11:24 just like shut the [ __ ] up okay
11:28 so if you are new to this AI stuff let
11:32 me let me do a little before we jump
11:33 into esoteric stop topics like like the
11:37 future of work which is not esoteric at
11:39 all it's actually profoundly important
11:41 and
11:42 uh I have no answers I'm happy to talk
11:44 about it but I have no answers I have
11:46 thoughts about what I think is coming
11:49 um but before we jump into that
11:52 these three sites right here are are
11:54 what I call the adult table these are
11:56 the sort of top three of the large
11:57 language models that I play with if you
11:59 haven't played with any of these things
12:00 if you've heard about people talking
12:02 about AI or chat GPT or all this stuff
12:05 you're like I don't know what it is what
12:07 do I do here just go there right now
12:09 that one
12:10 chat.openai.com that's the official
12:12 chatgpt website yeah I'll uh let me run
12:15 through these um
12:17 these things and then I'll bring it up
12:19 again
12:20 um
12:22 so so chat GPT is the official website
12:24 claude.ai is kind of their biggest
12:27 competitor and this morning
12:30 Amazon announced that they're investing
12:32 four billion dollars in anthropic the
12:34 company behind claude.ai so those two
12:37 they've been at the top of my list for a
12:39 while now they are now officially you
12:42 know big boy and girl Rivals they're
12:45 that that's pretty serious and then they
12:47 got you know Google nipping at their
12:48 heels
12:50 um
12:51 today announced this is
12:55 [ __ ] insane
12:58 um in two weeks so within two weeks I'm
13:01 I'm doing a uh I'm doing a workshop
13:05 a week from Wednesday
13:08 and people are going to know how like
13:10 how do I do prompting and I'm gonna be
13:12 like well
13:13 how you do prompting today is this but
13:15 in two weeks this is gonna happen let me
13:18 go to open
13:20 openai.com blog
13:26 foreign
13:28 [Music]
13:33 Ty can now see hear and speak
13:37 so this is coming in two weeks
13:39 speak with Chach EBT and have a talk
13:41 back remember how I always talk about Pi
13:43 Pi is chatty GPT well
13:49 we want to hear a bedtime story tell us
13:52 a story about the super duper sunflower
13:54 Hedgehog named Larry Larry's Back start
13:56 with telling us a little bit about him
14:01 okay
14:02 Larry was a unique Hedgehog unlike any
14:04 other yep he had bright so it's gonna
14:07 talk
14:08 uh it's also going to be able to like
14:11 take any of your chat gpt4 stuff and
14:13 just say it once in a tranquil Woodland
14:15 there was no exactly one sunny day she
14:19 cuddled with her playful kitten
14:21 then it can see [ __ ] you can upload
14:25 images and ask it about it it gives what
14:27 I think is the world's
14:29 dumbest example
14:31 but
14:33 it's at least clear that this is usable
14:36 by you know
14:39 non-scientists I think what's what's
14:41 interesting about this example is if if
14:44 someone is using a computer in Larry's
14:47 back that's good digital Gods
14:50 I'll tell you that there's an inside
14:52 joke with Larry the Hedgehog but digital
14:55 Gods just made a nice little uh
14:57 terrifying Larry zombie Larry
15:02 um
15:05 so this example I'll play this video
15:07 here and you'll see how kind of dumb it
15:09 is uh and if if they're actually a human
15:12 being on Earth that we're actually doing
15:14 this like the problem that's trying to
15:17 be solved here is how do I raise or
15:18 lower my bike seat which I suppose that
15:21 might not be painfully obvious but
15:24 anyway check out what this thing can do
15:31 picture of a bike
15:34 help me lower my seat
15:39 [Music]
15:50 oops
15:53 wait let me go back for a second
15:57 so it says if you have the tools show me
16:01 and I'll guide you further right so it
16:03 tells it tells the person what to do and
16:06 then it says if you have the tool show
16:07 me
16:10 that's where it gets kind of stupid
16:11 takes a picture of the little clamp
16:21 so it recognized it didn't have a a
16:24 lever but it has an allen wrench so it
16:27 recognizes that
16:28 [Music]
16:40 thank you
16:42 [Music]
16:47 chippy
16:50 [Music]
17:01 that's Champion if you haven't met
17:04 Champion sings whenever guitars play
17:07 Silver Fox I love Champion he's the best
17:15 so anyway it read the guy's manual
17:18 looked at his toolbox and said pull out
17:21 the uh four millimeter meter Allen key
17:25 so
17:27 so I can see so anyway that's that
17:33 um
17:35 The Voice capabilities are interesting
17:37 so the only thing that they're allowing
17:39 the voice capabilities to do right now
17:42 are the chat where they've sort of
17:44 pre-recorded professional voice over
17:46 actors doing that that you know voice
17:49 that read the Larry book
17:52 and
17:54 um
17:55 and then they're also talking about
17:57 um
18:01 they did work with be my eyes
18:04 um and a mobile app for blind and low
18:06 vision people so this is going to
18:08 dramatically help accessibility in the
18:11 blind Community
18:13 um
18:13 and then what else did they say they
18:16 were gonna they were doing oh they
18:17 they've got to deal with Spotify
18:20 so there's a handful of of
18:24 creators that they're allowing to do
18:28 um multilingual stuff where they're
18:30 translating into other languages for for
18:32 some high profile creators like Lex
18:36 Friedman
18:37 um and then they're gonna slowly roll it
18:39 out to to other creators so so they're
18:42 starting with this capability in a in a
18:44 kind of hermetically sealed environment
18:47 but you know I showed that video of me
18:49 speaking Italian where it actually syncs
18:51 the lips up this doesn't do that this
18:53 this isn't video yet this is just image
18:56 voice and and uh and and whatever it was
19:01 voice oh it can hear you
19:04 so anyway so this is coming within two
19:07 weeks now what what does this mean for
19:09 prompting I don't have a clue like if
19:13 you've gotten really good at prompting
19:15 chat GPT now like all bets are off it's
19:18 like a whole different game because it's
19:20 a whole different set of capabilities so
19:22 things you may have worked around and
19:24 workflows you may have created where
19:25 I'll start in chat GPT and then I'll go
19:27 over to this thing then I'll go to that
19:28 thing then I'll come back Dolly three is
19:31 going to be built into this probably in
19:33 the same time frame probably in the next
19:34 two weeks
19:36 you can talk to it so you you know might
19:39 use gpt4 instead of Pi for
19:41 conversational stuff I it's just wild
19:43 it's it's still not connected to the
19:45 internet so we'll see if they bring that
19:47 back
19:48 um so that's that
19:50 let's see
19:52 um Bard so the third of the adult table
19:56 the third one
19:58 they've got this thing coming out called
20:00 Gemini which is supposed to be five
20:02 times better than gpt4 I do not believe
20:05 that I think that's horseshit I think
20:07 that's some someone in the marketing
20:09 department just got their marketing
20:11 degree
20:12 say it five times better no one will
20:14 even check
20:16 they will
20:22 even if it's as good and and I think you
20:24 know why did why did uh
20:27 open AI release their stuff this week
20:29 probably because Gemini is imminent so
20:32 these three are gonna get really
20:34 interesting really fast
20:36 then you have the kids table
20:38 Bing at some point I'll ungrade Bing
20:42 um Bing is Microsoft's version of gpt4
20:45 so it's gonna get all this stuff too so
20:47 basically as openai rolls out the stuff
20:50 they'll roll it out and Bing perplexity
20:52 that's llama's model apparently Facebook
20:55 is launching some uh chat Bots with
20:59 personality on Facebook and Instagram
21:01 in the next week or two so that might
21:03 start getting interesting
21:04 pie is the company called inflection
21:07 they're the ones that raised 1.3 billion
21:09 dollars it's very chatty
21:11 um and then Poe okay so uh someone just
21:15 asked about the Discord invite so
21:18 um tomorrow night Tuesday night
21:21 um we have the next meeting of the AI
21:23 salon so this is the
21:25 URL for the link tree for the salon
21:29 and the the third link on there is the
21:32 invite to the Discord the second link on
21:34 there is the Meetup Group where you can
21:35 find out about the meeting tomorrow
21:37 night and then
21:39 um the first link is about the salon and
21:42 what our values are and things like that
21:44 all right Andy and what else what else
21:47 we got uh we'll do we'll do one more
21:50 thing here so image stuff
21:54 um this this page is like take a
21:58 screenshot of this because this is a
22:00 collector's item this is about to go a
22:02 lot of this is about to go bye-bye no
22:04 guarantee I can help but I'm more than
22:05 happy to help with the more technical
22:08 stuff that's cool paint is in here Pate
22:11 uh works for Google and works on the
22:14 tensorflow side of the house and uh it's
22:18 welcome welcome so if you have technical
22:20 questions Peyton can likely answer them
22:24 um for the image things mid journey is
22:26 the best ideogram can do do words
22:28 Leonardo's a really good website built
22:31 on top of stable diffusion hey Jen is an
22:34 is a voice synthesis an image animation
22:36 thing but it can do
22:38 um foreign language translations with
22:41 synced up lips it's mind-blowingly good
22:44 uh but you have to pay for it to not get
22:47 thrown into a really long queue I I I
22:50 did a uh a mandarin translation what was
22:54 it four days ago now or five days ago it
22:56 still hasn't rendered uh and then
22:58 openart.ai thank you dragonfly Alchemy
23:01 that's very nice
23:02 openart.ai prompt book is uh just like a
23:07 primer that will teach you about these
23:09 large language models it was written for
23:11 stable diffusion but it really applies
23:12 to all of them
23:14 okay
23:15 so you have a training on these AI tools
23:17 may I have some help so okay good good
23:20 segue thank you Kayla thank you for
23:22 whoever pinned that so starting a week
23:25 from Wednesday is is a three part
23:29 Workshop that I'm doing in conjunction
23:31 with another Creator named Rhonda
23:33 Phillips
23:34 and it's it's designed for creatives but
23:37 quite frankly it's this is going to be
23:40 useful for anyone that wants to learn AI
23:42 so Rhonda's voice.com events I'm I'm the
23:46 one um doing the workshop it'll be from
23:49 seven to nine Eastern Time on October
23:52 4th October 11th and October 18th those
23:55 are Wednesdays I'm pretty certain
23:59 um and uh and yeah and and we'll be
24:02 recording it and the recordings will be
24:04 available I think for two months after
24:05 after you've taken the workshop you can
24:07 either buy individual workshops or you
24:09 can buy all three for a discount
24:11 so so that's there
24:13 um
24:15 and what this channel is about the
24:17 question was you know do I do I have
24:19 tutorials on this I I don't have
24:21 anything pre-packaged right now I'll
24:23 answer any question that's what this
24:25 channel is about I'm gonna bring
24:27 um and fundraising up here
24:30 um in a moment and we're going to talk
24:32 about future work stuff
24:34 um but but ask any questions and the
24:36 mods will will you know post any
24:38 interesting questions you have I'll also
24:40 go through and sort of pull pull things
24:42 out randomly so if you want to know
24:45 um specific things about how to do this
24:47 stuff just let me know and I will do it
24:50 so
24:51 let's talk future work
24:54 damn
24:58 all right
25:02 hey Ed what's happening
25:04 hey how you doing how do I make this do
25:07 my video I don't know
25:10 um let's see I've never go I've never
25:13 done this before click on there we go
25:15 you got it yeah
25:18 can you see me not yet oh wait oh how do
25:22 I I might need to flip my camera
25:24 flip camera
25:27 no I don't see you wait
25:29 you can invite
25:31 I see me
25:33 to turn on their camera again in 30
25:35 seconds
25:38 oh okay yeah ask me to do that again in
25:41 40 seconds then yeah okay whatever yeah
25:44 you can't say no so okay so I've
25:48 so I have asked you
25:51 um a little bit I asked you about the
25:53 future of work and to get your thoughts
25:55 on that and
25:56 um the I just want to kind of like say
25:59 how it came up for me yeah
26:02 um and it's just I feel like lately I've
26:03 been spending more time reflecting on
26:05 what the future of work is going to be
26:07 like than I have learning new skills
26:09 which has been nice for my brain
26:13 um but you know Bernie Sanders said that
26:16 thing I think last week about well okay
26:19 that's great people are gonna be working
26:21 less but who's who's to whose benefit is
26:24 it to the workers benefit
26:27 to work faster
26:29 or is it to the owner's benefit for the
26:33 workers to work faster
26:34 well or better or whatever in a
26:37 capitalist Society you know yeah yeah so
26:40 so
26:42 so
26:43 this is I've been thinking a lot about
26:45 this too and I I think that
26:50 it's going to take us a long time to
26:52 shake the industrial
26:54 Revolution mindset of productivity is
26:58 the ultimate game
27:00 and so one of the things that I keep
27:03 hearing from people is that here let me
27:06 see if I can invite the camera up now
27:09 has it been 40 seconds there we go
27:11 you should be able to say yes to that
27:13 now
27:15 I can see myself here it's offering me a
27:18 bunch of effects here we go
27:21 I don't feel like I'm
27:23 I don't know what effect I would need
27:25 sorry about this everybody I just
27:27 literally don't know how to do it all
27:29 right that's fine we'll just we'll uh
27:30 we'll just hear you lose okay I see you
27:33 on on live all the time
27:37 your camera your camera ready I know
27:39 that
27:41 um I am camera ready
27:42 so so
27:45 my my thought my thought on on on
27:49 the efficiency thing there's a couple
27:52 one is a is a recent kind of Revelation
27:55 that I've had that that these tools
27:57 while they're gonna produce dramatic
28:00 productivity gains that's not the only
28:03 thing they're gonna do wait now all of a
28:05 sudden your icon changed
28:07 hello I can see you a little bit hi hi
28:12 um can I move you around no oh let's see
28:15 what do I do
28:16 that I don't know oh oh oh dear
28:20 hi everybody
28:22 [Laughter]
28:24 that's cool
28:25 hi Paige hi Nestor
28:29 yeah what's that oh that's switching my
28:31 camera
28:33 what's that oh there we go that's better
28:36 um
28:37 so so everyone's talking about
28:39 productivity gains when it when it comes
28:42 to productivity gains I think that
28:44 companies are going to have two choices
28:46 right so so the the thing I've talked
28:49 about before is just in in kind of
28:53 in kind of um I have an acting degree
28:55 level of understanding of economics
28:58 you you have all of the people that can
29:00 work working at this level producing
29:03 this level in the economy right like
29:05 that's generally how it works right it
29:07 goes up and down yeah most part that's
29:09 you know we've had whatever you know
29:11 century and a half to figure this [ __ ]
29:12 out and we've gotten it to where we are
29:14 so so now you're going to introduce a
29:16 tool that dramatically increases
29:19 productivity and at the same time lowers
29:22 the need for as many people to do that
29:24 it's both right
29:26 so yes so there's going to create this
29:28 Gap so what what Bernie's saying and
29:30 what Bernie would always say is you know
29:31 well let's just assume that you know
29:33 this Gap is going to the top half of top
29:36 of one percent right so you know he's
29:39 saying don't do that
29:41 I think that
29:44 if you're if you're talking about
29:45 companies that have been funded by
29:46 private Equity firms and things like
29:48 that the minute they see a productivity
29:50 increase they're going to say you know
29:52 fire fire the people I don't think all
29:54 companies will do that
29:56 the other thing that's happening though
29:58 is this isn't just about if I'm a
30:01 copywriter this is making me more
30:02 efficient as a copywriter it's not just
30:04 a productivity game like it's going to
30:08 fundamentally change what it means to be
30:10 a copywriter a different set of skills
30:14 the the if you haven't seen it there's
30:16 an Ethan Malik article that came out
30:19 last week called centaurs cyborgs and
30:23 the jagged future of work yeah something
30:25 like that one of the fine well one of
30:27 the findings in there was the
30:29 Consultants that use gpt4 were 12 faster
30:34 25 wait 12 percent more 25 percent
30:38 faster and forty percent forty percent
30:41 better yeah and those without it but but
30:44 the I thought the more interesting thing
30:46 was they also ranked the lowest
30:48 performing Consultants had a 43 increase
30:51 while the highest rated Consultants only
30:54 had a 17 increase so right right
30:59 people yeah
31:04 yeah about it so yeah so so I think
31:06 there's a non-zero possibility that
31:10 but
31:11 the the the the bitter cynical side of
31:14 me just says capitalists gonna
31:16 capitalist and go for the profit right
31:18 and just screw the worker and dump them
31:20 out
31:22 but but if you've got if you've got
31:25 tools that that you know not only allow
31:28 people to get more efficient but also
31:30 allow them to in effect reinvent what
31:32 their role is and then allows the lower
31:35 performing people to level up all of a
31:38 sudden I can I can deliver as a company
31:41 you know more better or faster to my to
31:45 my customers like I could reinvent the
31:47 company in some way because it's not
31:50 just about an efficiency gain it's about
31:51 it's about a a radical transition of the
31:56 culture of the company and that's the
31:58 thing that I don't think anyone's
32:00 prepared for right now and I don't know
32:01 that anyone can prepare for it I I think
32:04 the only thing you can do is
32:07 aggressively and this is something that
32:09 you've been doing that I've been really
32:10 impressed with is aggressively go after
32:13 um learning everything that you can
32:15 about this and and I've said here in the
32:17 channel a bunch of times like you know
32:20 when someone says oh you know where do I
32:21 go find prompts don't go find prompts go
32:24 learn how to prompt why because of the
32:27 announcement that came out today like
32:28 prompting was just about generating text
32:31 outputs before well now it does you know
32:33 all these other things and like what
32:35 does that mean I don't know
32:37 um now you've got image generation in
32:40 the context of word generation that's
32:42 going to be a completely different skill
32:45 to create right you know a skill to hone
32:48 so so that's it in kind of general and
32:50 then I think from an individual basis um
32:53 are you still there
32:55 yeah all right from it from from an
32:58 individual basis
33:00 um
33:04 I think you need to get curious as well
33:06 because I you know this stuff is either
33:09 going to be handed to you you know go
33:12 figure this out or someone who knows how
33:14 to do this better than you is doing it
33:16 now and so your job's no longer needed
33:17 because you weren't curious and I think
33:20 I think in getting curious about this AI
33:23 stuff people are going to a lot of them
33:27 are going to discover you know what I
33:30 really kind of hated my job and I really
33:32 kind of loved this new thing that I
33:33 learned that I didn't think was possible
33:35 to learn in my life like I think there's
33:37 going to be reinvention on a personal
33:39 level at a at like a wild scale oh for
33:43 sure so I think I think some people may
33:46 leave jobs
33:47 you know not necessarily because they
33:50 got booted but because they've
33:51 discovered something new that they can
33:53 do that they've always wanted to that
33:55 they thought was Out Of Reach for them
33:56 but all of a sudden it's in reach for
33:58 them
33:58 absolutely and think about like
34:01 how it's going to
34:07 change hate to do right like there's
34:10 probably 80 similarity among all of us
34:13 about what we hate to do and there and
34:15 within that chat you know AI can
34:18 probably do
34:19 60 of it 50 of it maybe more you know as
34:23 as things progress maybe all of it and
34:26 so then while it sucks and there's going
34:28 to be you know suffering for the folks
34:31 who do lose their jobs and aren't
34:33 prepared to upskill or can't or whatever
34:37 or you know don't have the
34:40 self-esteem or whatever like people are
34:42 going to get into real real pickles with
34:44 their self-identity but then you got all
34:47 the people who are going to be like
34:49 living their best life as employees
34:51 engaged thriving in their zone of Genius
34:54 not trying to do [ __ ] they're bad at
34:56 people are going to collaborate better
34:58 because they're going to have better
34:59 quality work and they're going to do
35:01 stuff on time and they're not going to
35:02 hate each other at the end of projects
35:03 anymore
35:05 I am just like this could be the best
35:08 thing that's happened in ever in the
35:11 history of of work work and life I I
35:14 know this is the I feel like it's it's
35:16 the counter-intuitive take right now is
35:18 that because I think the intuitive take
35:20 is the robots are going to kill us right
35:26 that's for 50 years right
35:29 and
35:30 and yet you know and it's you know you
35:33 talk about that that mundane repetitive
35:36 soul-crushing work there's there's
35:38 there's that kind of work at work but
35:40 there's also that kind of activity that
35:43 we have to do in our lives that also
35:45 drains drains our souls right being on
35:48 the phone for 45 minutes with the
35:50 insurance company only to be hung up on
35:52 and right right
35:53 how many hours a week do we each spend
35:56 outside of work
35:59 but doing repetitive soul-crushing work
36:02 of some other company that's been
36:04 offloaded on us because of just crappy
36:07 you know capitalism and yeah all that
36:11 sort of stuff
36:12 um that's just what we've gotten used to
36:14 and all of a sudden I think we're going
36:15 to start to see more and more
36:17 applications of these tools that make
36:20 that stuff easier and it's just if you
36:23 think about
36:24 for me in a given week there are at
36:29 least five times where if computers
36:32 weren't so expensive I would smash it
36:34 against the wall
36:36 right at least five times a week like
36:39 what would my life be if that was like
36:42 reduced to one or two instead of five
36:44 right yeah and it's just all that
36:47 mindless you know horrible [ __ ] and
36:49 so so anyway so that's that's the stuff
36:51 I'm excited about but I think
36:53 I think the idea that that this AI stuff
36:55 is just a productivity enhancer I think
36:57 it's really missing what's what's really
37:00 going on here that that the the depth of
37:03 the transformation isn't just about more
37:05 efficient work it's about redefinition
37:07 of work definition of jobs of roles of
37:12 what's valued
37:14 um and it's probably gonna take us five
37:17 or seven or ten years to figure that out
37:19 right it's going to be two or three
37:21 years of absolutely Absolute Health yeah
37:23 right and then and then it'll be five
37:26 years we'll start to figure it out it'll
37:27 start to stabilize and then over the
37:29 over the next few years it'll it'll
37:32 you know within a decade we'll sort of
37:34 have this [ __ ] figured out I think but
37:35 we'll see I don't know it's wild
37:37 did you
37:39 um and I'll hop off in a second because
37:41 I know that this is this is your your
37:43 thing um but did you see that quote by
37:47 Paul retzer I'm gonna put it on LinkedIn
37:49 tomorrow and just like black and white
37:51 it's he said if you are a CEO or the
37:54 leader of a company you have a moral
37:56 responsibility to figure this stuff out
37:58 yep yeah I know
38:04 [Music]
38:09 things was going to change and I'm post
38:11 I'm gonna post it because like people
38:14 who are not paying attention to this
38:16 need to know that it's not just about
38:17 their to-do list or the robots
38:21 is actually a responsibility of
38:23 leadership
38:25 figure out how to solve for this so that
38:28 their companies Thrive but their people
38:30 thrive yep
38:37 hey Ann and you I think you're covering
38:40 up
38:42 oh
38:44 better yeah
38:46 so I touch all these people and say how
38:48 are you guys talking about a
38:49 and they're like oh we're not yep no oh
38:53 cool yeah yeah exactly and that's that's
38:56 that's again I you know I keep going
38:58 back to Ethan Malik he seems to be a bit
39:00 of a canary in the coal mine with this
39:01 this was three months or so ago he wrote
39:03 this piece called
39:05 um detecting the secret cyborgs and what
39:08 he's talking about is there's a culture
39:09 of there's a there's there's a
39:11 subculture within companies of workers
39:14 who are getting curious about Ai and
39:16 getting AI literate in the absence of
39:19 the company having you know any policy
39:21 about AI right and so and so you know
39:25 they're kind of secretly
39:26 AI stuff getting better at it
39:29 Reinventing it having their own kind of
39:30 subculture of being really good at this
39:33 stuff and the company
39:35 can't benefit from it because they're
39:37 not talking about it because they're
39:38 afraid to talk about it and what he
39:40 talks about in that piece is it is it is
39:42 the CEO it is you know the the c-suite
39:45 listen to not just called the CEO but it
39:47 is it is Management's responsibility to
39:50 make that conversation not only safe but
39:53 like and value right yeah because yeah
39:58 like I mean you know this Channel and
40:02 one's like it just as people discover
40:04 this stuff and get excited about it if
40:07 they're working in an environment that's
40:08 got their arms crossed and they're like
40:10 you know screw this AI stuff or just
40:12 worse yeah we're not really paying
40:14 attention to it that's that's gonna be
40:16 rough for them right absolutely yeah
40:20 it's it's a great quote you should
40:22 definitely share it because it's uh yeah
40:24 I I think one of the things that he's
40:27 been talking about since they had their
40:29 the the AI Summit in Cleveland
40:33 um was just how quick quickly this
40:35 stuff's evolving there's one of the
40:38 examples he talked about on his podcast
40:39 was runwayml where they came out with
40:43 picture to video where you could upload
40:45 a picture and it would turn it into a
40:47 video and it was four seconds long and
40:49 two months later they forexed the
40:51 performance of that now you can do 18
40:53 seconds of video it's like the speed
40:55 that that these tools are moving from
40:58 sort of cute curiosity to Game Changer
41:01 in is you know insane so yeah anyway
41:05 yeah
41:07 well Kyle thank you
41:10 wonderful night I don't know
41:13 I don't know so late at night talking on
41:15 this thing all how do you do this
41:19 Marge is this Tick Tock thing on how do
41:23 you turn on a tick tock can anybody see
41:24 me
41:29 good night everybody good chatting with
41:31 you bye
41:34 hahaha
41:38 um
41:39 all right let's see
41:42 all right
41:44 so
41:45 let's
41:47 jump back in
41:49 and that was cool I didn't see any
41:51 comments when I was doing that great to
41:53 have her on yeah and it's great that
41:55 that was that was awesome
41:57 um yeah we're in we're in in some cuckoo
42:00 times here so
42:01 um
42:03 pop any questions you have in the
42:05 comments below if you're new here my
42:06 name is Kyle Shannon this is the AI
42:07 learning lab we're talking about things
42:09 AI Anthony
42:11 Conklin has a question go on go on
42:15 Anthony Conklin question
42:17 yes
42:20 oh can I join to ask sure
42:25 [Music]
42:29 hey Anthony Hi how are you doing well
42:32 what's happening uh I'm good haven't put
42:33 my video on okay now I can see oh I'm a
42:35 human being I'm not an AI I'm not a hey
42:38 Jen I'm not a Hagen that's what I tell
42:40 everyone too there you go first of all I
42:42 just want to congratulate you on all the
42:44 great content that you offer I think
42:45 what you do is really great so keep up
42:48 the great work
42:50 a little quick backstory uh I'm a
42:53 personal development and sales and
42:54 business coach and I found that since
42:57 January since I've moved everything over
42:59 to AI I mean I've reduced my workload by
43:02 probably about 80 and most of it has
43:05 been most of it has been admin stuff
43:06 right yeah
43:08 so the soul-crushing repetitive stuff oh
43:11 it's it's tremendous so
43:13 fireflies is my best friend and my worst
43:16 enemy right so yeah fireflies my
43:18 coaching conversations clawed from all
43:20 the sales and marketing stuff and then
43:23 kind of dabbling in video and some other
43:25 stuff what I'm one of two questions one
43:29 is
43:30 um I want to use more AI tools so I want
43:32 to be able to follow you and I'll pay
43:34 for your stuff it's just that I'm I'm
43:36 not trying to replace my operations team
43:39 or my my operations team I just want to
43:41 make it easier for me to have my one
43:43 hour coaching conversation at the end I
43:45 mean whether it be tact IQ fireflies or
43:48 whatever it's like they get a summary
43:49 the they it's it's tremendous right they
43:52 get the summary you get the outcomes
43:54 they got the key points the tonality all
43:56 that good stuff I think I've done a good
43:58 job of training open AI to uh get my
44:01 speaking voice my writing voice that
44:04 custom section just blows me away oh the
44:08 custom instructions really been helpful
44:11 for me yeah let's ask you so now to name
44:13 my background I've been I've been doing
44:15 this for 16 years so I found that it's
44:17 making me it's making me more valuable
44:20 in the respect that I not only have the
44:22 experience of doing it I could do it
44:24 faster and I can get you a lot more
44:27 stuff so let me ask you this what is the
44:29 biggest misconception and it's kind of a
44:31 bigger question what's the biggest
44:32 misconception about AI right now that we
44:35 want to get people to start paying
44:37 attention to or is it like hey this is
44:40 you know 2000 and something and crypto
44:42 is a dollar and it's going to go to you
44:44 know a million dollars what's what
44:46 because I hear what you say and I and I
44:48 I respect what you say I'm just trying
44:50 to break it down to a sound bite because
44:52 I have other friends coming to me saying
44:54 hey we should get into the AI game I
44:56 just want to set the record straight
44:57 what are the misconceptions and where
44:59 are the opportunities again coming from
45:01 a sales and Business Development you
45:03 know personal development coach so yeah
45:05 long story
45:06 yeah I'll talk about what I think some
45:09 of the big misconceptions are but but
45:11 quite honestly
45:14 the thing that you the thing that you
45:16 started with Anthony that
45:19 eighty percent of your time like what I
45:22 would almost say is it's not that you're
45:24 80 percent less busy than you were it's
45:27 that
45:28 eighty percent of your time before AI
45:31 was wasted on administrative [ __ ]
45:34 that sucked up your brain power and
45:37 sucked up your time and now it's it's
45:41 it's taking you less time but you've got
45:44 more brain space and more time available
45:46 for your clients so so for me that Gap
45:50 is is actually the thing to talk about
45:54 um I think some of the misconceptions
45:55 are
45:57 the
46:01 I what I call it is the demonization and
46:04 and dismiss and dismissal of AI without
46:07 having tried it basically that people
46:10 seem to have strong opinions on it and
46:12 haven't used it
46:14 so they look at it and they're like oh
46:15 it's like a Google search box except
46:17 it's stealing people's work and it's
46:19 evil and the robots are going to kill us
46:20 and so I'm gonna either make fun of it
46:22 because I'm afraid of it or I'm gonna
46:24 demonize it it's Skynet it's Skynet
46:26 right now right all that sort of stuff
46:28 and so
46:30 so I think the the only thing that I've
46:33 found to get someone on the other side
46:34 of it is to connect them to it
46:36 personally right so if you're in a
46:39 circle of coaches and consultants and
46:41 sales people
46:42 I mean this is a sales technique right
46:45 how much time in your week do you spend
46:47 on Salesforce data entry and email
46:51 follow-ups how many hours is that a week
46:53 for you 20. you know what it is for me
46:54 now too yeah you want to know how to do
46:57 that let me here let me let me show you
46:59 one thing in chat CPT you pop it open
47:01 and you have it right an email because
47:04 you've got your custom instructions set
47:06 up and it writes the email in your tone
47:08 in your format like that right and and
47:12 they'll have if you've been on here but
47:15 you've seen Mike they'll have their
47:16 Kevin McAllister moment there right
47:19 exactly yeah and so so I think you start
47:22 with you know what is the most relevant
47:24 to them
47:27 first and then say
47:29 now
47:31 take the 10 minutes or 15 minutes or
47:35 whatever to just play with chat GPT long
47:37 enough that you can see it's something
47:40 more than a Google Search and it's not
47:42 as scary as Skynet right right and once
47:46 they sort of get the little glimmer of
47:48 oh that's kind of cool that's kind of
47:50 fun let me try one other thing at some
47:52 point in trying one other thing they'll
47:55 try the thing that blows their [ __ ]
47:56 mind you know what I think Kyle and you
47:58 bring up a good point and I hope I'm not
47:59 taking up too much space here but just
48:01 to add to your point
48:03 my neighbor I said hey he goes it is
48:06 Anthony have you heard this thing called
48:07 chat gbt I'm like yeah and I go I pay
48:10 for it dude I pay the 20 bucks a month
48:12 for me it makes sense right and he goes
48:15 well and he went on and on and told me
48:17 it doesn't really how does it help me I
48:19 said listen
48:20 you have to
48:21 just get the right way to get the good
48:23 stuff out so what I found myself doing
48:25 is I've created this list of prompts
48:29 right and you know like I found that you
48:32 know I want you to take a look at so
48:34 here's an example take a look at this
48:35 take a look at this um this email that I
48:38 got from somebody a competitor a friend
48:40 and I want you to run it through the
48:42 Occam's razor principle oh cool and they
48:45 come back and I look at it and go holy
48:47 [ __ ] oh look at what it just did right
48:50 or play Devil's Advocate look what it
48:53 just did right so I think if you if you
48:55 tease somebody enough to show them the
48:57 prompt it's like well [ __ ] it's not
48:59 going to take my job or take my life or
49:01 it's not gonna be Skynet you get people
49:03 entice so here's so here's my devil's
49:05 attitude Colin I'll leave it with this
49:06 again you probably have people waiting
49:08 thank you for the space is that um
49:11 people feel like well you're not gonna
49:14 think for yourself you're gonna let
49:17 or your brain is going to turn to Mush
49:20 right or you think um
49:22 um listen like for me I I find myself I
49:25 got my microphone here right my mic and
49:27 I go I go I want you to revise this
49:29 email using my and I'm and I'm talking
49:30 and I'm I'm not even typing I'm using
49:32 the windows H and I'm just I'm blasting
49:35 away but I'm getting so much more work
49:37 done and more productive yeah
49:40 but how do you talk to someone who says
49:41 oh it's good you're not gonna think
49:43 don't let it think for you it's like AI
49:45 is a tool you use the tool the only
49:47 people use you all right so listen I
49:50 think I think I I mean you you said it
49:53 it's funny like your your questions all
49:56 of your questions are kind of set up
49:58 like the answer is somewhere outside of
50:00 you the stuff you said tonight's
50:02 brilliant like what you're doing and how
50:04 you're doing it is the answer right like
50:07 like using it as the Occam's razor thing
50:11 what are you doing there you're not
50:13 using it like Google like Google is you
50:15 type in a response you get a bunch of
50:17 links and so people initially think that
50:19 chat GPT is that put in a prompt get
50:21 back an answer and then you're done and
50:23 what you're doing is saying no no I'm
50:24 gonna put in something that you know
50:26 someone sent me or whatever I'm gonna
50:28 have it analyze it because it can do
50:29 that and then I'm going to have it yeah
50:31 right do all this stuff so what I would
50:33 say is the the answer to everything that
50:36 you've asked tonight is your personal
50:38 experience and sharing what it's done
50:40 for you and then basically it's just
50:42 it's it's it's a lightweight version of
50:45 a sales job understand what's their pain
50:47 point and say what is the thing you're
50:49 trying to solve well let's see if we can
50:51 let's just hop into chat GPT right now
50:53 and see if we can solve that and honest
50:56 to God it'll be something I was on
50:59 I don't know if it was one of these
51:00 lives or I was in person with someone
51:03 oh I was I was teaching a bunch of small
51:05 business people and this woman said she
51:07 had a gardening business or this or that
51:08 or and I said oh let me just throw you
51:11 know chat gbt open and I threw threw in
51:13 like a you know make me a gardening plan
51:15 for Denver for this time of the month
51:17 and and put it in a table format it
51:19 wrote this table and she she goes she
51:21 goes oh my God that's what I do you know
51:25 and it's if you can if you can just get
51:28 a little bit of info from them and then
51:30 and then sort of put them in touch with
51:32 what's possible then it's kind of like
51:34 your job's done but I think I think
51:36 you've got it like the way you're
51:38 thinking about it's right just talk
51:39 about your personal experiences that's
51:41 that's the answer to all this so to all
51:43 of the questions that you ask thank you
51:44 listen I appreciate the space I think
51:46 you do great work and I know that you're
51:48 on a lot and I happy to follow you and
51:50 uh I'll be definitely looking for more
51:52 you know guidance and help it's like
51:54 listen you helping us and you helping me
51:57 is helping my clients which you know
51:58 it's all been impact it's all about
51:59 paying it forward so keep all the great
52:01 work buddy thank you so much thanks man
52:02 thank you you take care
52:04 bye-bye
52:07 all right groovy turn dual camera back
52:10 on AI learning lab we're doing learning
52:12 we're doing learning we're learning here
52:15 having fun those are cool I like doing
52:18 this all right
52:19 so
52:21 um I mean what's Jason saying if you
52:24 learn one thing a day like Mr B's say
52:25 about video creators you'll do better
52:27 yeah I agree with that that's good I
52:28 like it
52:29 I'd love to hear Anthony talk through
52:31 his AI workflow to decrease busy work by
52:34 80 case study um we can bring Anthony
52:36 back up here or Anthony feel free to
52:38 just drop it in the drop it in the
52:39 comments or even better
52:42 Anthony join the AI salon so go to the
52:46 salon.ai that's our
52:48 um
52:50 that's our URL that's the link tree
52:52 and the second link is the Meetup we
52:55 have in-person meetings in Denver and
52:57 online everywhere else and those happen
52:59 Tuesday nights so tomorrow night's the
53:01 next one and then the third link on that
53:03 link tree is the Discord join the
53:06 Discord and introduce yourself and and
53:08 you can share some of your
53:10 um best practices there
53:12 um for Jim and and the other thing the
53:14 thing that we're launching tomorrow at
53:16 the salon I'm really excited about we're
53:17 launching a thing called guilds so we're
53:19 gonna launch five of them tomorrow
53:21 there's an AI 101 Guild there's a
53:24 writing Guild there's a making Art Guild
53:27 there's an entrepreneurship Guild and
53:28 there's an AI for business Guild
53:31 and so those are the five guilds that
53:33 are launching and then we've got like
53:34 four or five more coming after that and
53:37 so there's sub communities within the
53:39 salon where you can like go into like
53:41 little specialty groups and learn [ __ ]
53:43 and teach [ __ ] and you know you can
53:45 co-lead a guild and you can you know
53:47 become a Guild Master if you want
53:49 there's all sorts of things to do so go
53:51 there and and do that because it's all
53:53 related it's kind of what I'm realizing
53:55 I I have this thing called the salon or
53:57 wherever it was the you know this the AI
53:59 Salon that was this very separate
54:01 Community from this one and then I
54:03 started doing these lives and then those
54:05 audiences started blending a little bit
54:07 and I was like oh that's kind of weird
54:09 and then and then
54:11 um one of the guys in the salon just
54:13 said a thing he just said something that
54:15 kind of broke my world open that made me
54:17 realize that
54:19 for my entire life I've always thought
54:21 about
54:23 the communities in my life as distinct
54:26 from one another right like that's my
54:28 Facebook community and that's the
54:29 LinkedIn community and you have to be
54:31 professional there and then this is The
54:33 Tick Tock live Community I can cuss here
54:34 and I can and then that's the salon
54:36 community and and the thing that he said
54:39 he was talking about Ai and how it's
54:41 going to kind of blur boundaries between
54:43 work and jobs and communities and it
54:47 just I had this [ __ ] massive Epiphany
54:50 I'm like oh it's all the same Community
54:52 it's all my community and like you each
54:54 have your circles and it's all your
54:56 community and why not let those things
54:58 blend
55:00 um so anyway so that was a really cool
55:02 Insight so
55:04 um all right
55:06 let's see who's got some questions let
55:08 me go let me go into the comments here
55:11 and uh we'll put some questions up
55:15 I see Sam corn in here welcome Sam
55:17 felonious I see you Clint
55:21 Share Bear of course Emilio's wife was
55:25 late she was very late she was like the
55:27 third person in the live
55:30 slacker hey wait what are you up to now
55:33 oh wait you're up to 12 000 likes y'all
55:36 the Irregulars so so so here's the thing
55:40 you may think that I've got 12 000 likes
55:43 I don't
55:44 there are this group of people that show
55:47 up here night after night after night
55:48 they harass me they harass me and and
55:52 they get bored of me because you know
55:55 it's me
55:57 and and so what they've done is they've
55:58 got a whole little side Community here
56:00 where they're playing games to see how
56:01 many likes they can get so that's what's
56:03 going on there all right has Bing caught
56:05 up to chat GPT 4 or is it still more
56:08 limited oh johnsy John Z John Z John z
56:12 uh you should have been here when was it
56:14 a week ago
56:17 we had an absolute meltdown in fact let
56:20 me show you my um
56:22 Bing is on that list right there see
56:25 that dark spot where you can barely see
56:26 like something there that says Bing I
56:29 have a dark gray because she's in the
56:32 corner I put I put Sydney in the corner
56:35 she's been a bad girl
56:37 um
56:39 no Bing is not better so so here's the
56:42 deal Bing from a technical perspective
56:47 has some advantages going for it it's
56:49 connected to the internet Chachi PT's
56:51 not it's
56:53 um it can generate images chat GPT can't
56:55 it
56:57 um you know has some good interface it's
57:00 it's connected to the Bing search
57:02 experience like all that stuff's really
57:04 good
57:05 but but they've got these safety guard
57:07 rails clamped down on it so hard that it
57:10 makes it absolutely [ __ ] useless
57:14 so it's not that the technology is bad
57:17 the technology is fine it's that the
57:19 crap that the corporate wieners
57:22 put on it has [ __ ] it up now
57:27 um
57:29 they'll get it together
57:33 um they have a bunch of big you know
57:35 Fortune 500 companies to sell to so
57:38 their stuff has to be safe so I
57:39 understand why it is what it is but in
57:43 contrast to the other tools it's just
57:46 painful sometimes
57:48 um it's funny there are people on here
57:50 that love Bing right because whatever
57:52 their use case is they're not running up
57:54 against those safety guard rails
57:56 um in my case like like with demoing
57:59 things for this for the lab here you
58:02 know I'll go to demo something and I do
58:03 I just do kind of jokey [ __ ] and I you
58:05 know I make fun of it and I make jokes
58:07 and it just doesn't like that it's like
58:08 wow if you're gonna be a smart Outlook
58:10 about it then we're just not going to
58:11 have this conversation little Mister you
58:14 know what I'm saying you know I think
58:15 you should get yourself to a self-help
58:17 group and um you know really accept that
58:20 you're a little aggressive with me it's
58:22 it's honest to God it's like talking to
58:25 like talking to Stuart Smalley
58:27 I'm good enough I'm smart enough and
58:29 dogged on it people like me
58:31 [Laughter]
58:35 capture that Bing is the Stuart Smalley
58:38 of large language models
58:43 no it's not better with all this new
58:47 [ __ ] that just got launched with uh
58:50 the multimodal chat GPT that's going to
58:53 be interesting to see what what of that
58:55 Bing incorporates
58:58 I get the really distinct
59:01 sense that the Bing chat Development
59:05 Group
59:06 and the chat gpt4 Development Group are
59:09 not really working in concert like
59:10 they're they're two completely separate
59:12 I mean it's two separate organizations
59:14 but I kind of had it in my head that
59:16 they might have been working together I
59:18 I just get this sense that they're
59:19 they're just you know essentially
59:21 competitors at the chat GPT level you
59:24 know they're they're collaborators at
59:27 the gpt4 level level at the at the base
59:29 large language model level but I think
59:32 at the chat gbt level they're kind of
59:33 competing
59:35 um I use it to Edge my educate myself
59:37 about history and science and something
59:39 else that was Sam corn very cool oh and
59:42 compsi nice Clint but but but no excuses
59:46 sir
59:48 thank you very much
59:52 um oh my God that's what I do what do
59:54 you do emilios I mean if you learn okay
59:57 we talked about that one
1:00:02 best AI logo generator free or paid
1:00:05 tried smashing logo and was impressed
1:00:07 but too pricey I don't know any of the
1:00:11 excuse me I don't know any of the um
1:00:15 the real the real tactical
1:00:18 um tools I don't know them I'm I'm
1:00:20 trying to just kind of stay up at the
1:00:23 this what are the sort of core tools
1:00:25 because there's too many tools so what I
1:00:27 would do is I'd go to futurepedia.io or
1:00:31 you can go to there's a site called
1:00:32 there's an AI for that.com
1:00:35 so either futurepedia.io or there's an
1:00:37 AI for that.com and just look up logo or
1:00:41 design or branding or something like
1:00:44 that I guarantee you there were 400 of
1:00:46 them one thing I will tell you that I
1:00:49 have
1:00:50 I haven't played with it because the
1:00:53 [ __ ] won't let you play with it but
1:00:55 someone in here told me about a
1:00:58 mid-journey tool or yeah a mid-journey
1:01:00 companion tool called
1:01:03 Trace Journey
1:01:05 which will vectorize
1:01:07 mid-journey graphics so you go into mid
1:01:10 Journey you have it make a logo and then
1:01:12 you can use this Trace Journey tool to
1:01:15 trace it and turn it into an illustrator
1:01:16 file and the reason you do that is
1:01:19 because once it's an illustrator file
1:01:21 and it's got vectors it's infinitely
1:01:23 scalable
1:01:24 so that could be interesting
1:01:27 um but you're gonna have to that that's
1:01:28 kind of a roll your own solution right
1:01:30 you're gonna have to learn how to prompt
1:01:31 mid-journey to give you good logos and
1:01:33 do typography in illustrator and it's a
1:01:35 whole [ __ ] thing so there are
1:01:37 probably tools that do it I just don't
1:01:38 know them
1:01:40 all right all right all right listen one
1:01:43 ringy dinghy two ringy days
1:01:47 how many how many wait what was that
1:01:49 voice how many
1:01:51 how many licks does it take to get to
1:01:54 the center of a Tootsie pop one all
1:01:57 right two
1:01:59 three
1:02:01 [Laughter]
1:02:04 ah you're welcome Gen X
1:02:07 taking us back to all the old classics
1:02:14 oh man
1:02:16 all right let's see here
1:02:21 down in the mud down in the mud down in
1:02:24 the mud I am debating which ones I
1:02:26 should invest in
1:02:28 um I don't have a good answer for you on
1:02:31 that I mean the you can figure out which
1:02:34 ones are investable but the list of ones
1:02:36 that I've got the companies behind all
1:02:39 of these
1:02:41 and these
1:02:44 and these
1:02:49 um are worth paying attention to and
1:02:51 then who are the ones supporting them
1:02:52 like Nvidia
1:02:54 all of them need Nvidia right all of
1:02:57 them like like pie
1:03:00 that that little squirt right there they
1:03:02 raised 1.3 billion dollars they're
1:03:05 spending about a billion of it on 22 000
1:03:08 gpus from Nvidia
1:03:11 x.com
1:03:13 Ye Olde Elon Musk
1:03:16 just accepted a delivery of 10 000 gpus
1:03:19 from
1:03:21 Nvidia like all of these guys are using
1:03:25 Nvidia now I I don't like I don't know
1:03:28 if they're a good investment their
1:03:30 market cap hit a trillion dollars like I
1:03:32 don't know if that's a good deal I'm not
1:03:33 an investor I have a degree in acting so
1:03:35 take anything I say with the appropriate
1:03:37 level of
1:03:39 um consternation when it comes to
1:03:41 financial prowess
1:03:46 uh
1:03:48 I'm not a robot goodbye
1:03:51 but this is my self-group that's awesome
1:03:55 Firefly I that's but that's the thing is
1:03:58 that like that's the thing that hit me
1:04:00 it's like it's it I it sounds [ __ ]
1:04:03 corny but it just the idea that
1:04:07 those boundaries that I had put in my
1:04:09 head that this group was separate from
1:04:12 that group like I've been doing it my
1:04:14 whole life and I think it's I think
1:04:16 we're taught it from a young age right
1:04:18 I mean look at politics right now
1:04:21 well that group's evil no that group's
1:04:23 evil like like we're like a bad set of
1:04:25 football fans
1:04:27 and it's and it's just like it's it's
1:04:30 encouraged in our society and I think
1:04:32 it's a natural human instinct anyways to
1:04:34 separate ourselves and it just hit me
1:04:36 well what if what if those boundaries
1:04:38 didn't exist and what if I just start
1:04:40 communicating freely between them and
1:04:43 you know sort of encouraging
1:04:45 cross-pollination and it's not a new
1:04:48 idea but it's a new idea for me so it's
1:04:50 a big big deal
1:04:52 how many licks does it get to the center
1:04:53 of a Tootsie Pop chat gbt the world may
1:04:56 never know well that was the that was
1:04:59 the follow-up commercial Clint the first
1:05:02 commercial was one two three
1:05:05 and then the follow-up commercial was
1:05:07 the one where I guess people bitched
1:05:09 about biting the Tootsie Pop the world
1:05:12 will never know all right all right
1:05:18 all right
1:05:20 let's see Bing versus Chad gbt being
1:05:24 slower more folks not really aware of
1:05:26 the potential of chat GPT yet Perhaps I
1:05:29 don't you know what Firefly I don't
1:05:30 think a lot of people are using Bing I
1:05:32 thought that I thought that Bing chat
1:05:34 would have sniped a lot more of uh
1:05:38 Google search than it has
1:05:41 um I don't think a lot of people are
1:05:43 using it I think a lot of people are
1:05:44 using chat GPT why because it's better
1:05:46 because because they haven't [ __ ] it
1:05:49 up and overly overly locked down at
1:05:51 safety guard rails
1:05:53 um
1:05:55 have you heard of halter AI I have but I
1:05:58 can't remember what the hell it was let
1:05:59 me go look at it
1:06:01 halter
1:06:03 AI
1:06:07 a halter lead monitor
1:06:09 [Laughter]
1:06:12 um where is it let's see
1:06:15 is this the ECG monitor that halter
1:06:26 I mean the echocardium echocardiogram AI
1:06:30 analysis has been doing some interesting
1:06:32 stuff for a lot of years now
1:06:35 like you hear those stories of you know
1:06:37 someone's smart watch saved their life
1:06:40 because they had an afib or something
1:06:42 like that
1:06:44 um but tell me more about it if it's not
1:06:46 the EKG one I don't I don't see I don't
1:06:49 see something else there that's called
1:06:50 Holter AI there's absolutely no
1:06:52 competition at that level at what level
1:06:54 I don't know what you're talking about
1:06:55 Bigfoot Electro and by the way I like
1:06:58 the name nine out of 10 on the name
1:06:59 Bigfoot Electro solid it's it's one of
1:07:02 the things we do here
1:07:03 um if you're going to show up here
1:07:04 regularly get your name together don't
1:07:07 come in here with some half-assed name
1:07:08 or like
1:07:10 user646-283-6925 that don't fly in here
1:07:13 I will make fun of it I'll do it I'll
1:07:15 troll you
1:07:16 you can pick on me and my double chin
1:07:18 and the fact that I look like Tom Arnold
1:07:20 and Rosie O'Donnell all that sort of
1:07:21 yeah yeah we've heard it all before
1:07:23 whatever
1:07:24 but if you come in here with a user six
1:07:25 four eight two three five seven two five
1:07:27 nine name
1:07:29 really
1:07:30 foreign
1:07:32 I know we're old people but come on
1:07:35 Marge how do I change the name on the
1:07:37 tick tock
1:07:40 not better than my name Kyle's number
1:07:43 one fan uh 10 out of 10.
1:07:47 dial that [ __ ] up to 11. thank you I
1:07:50 appreciate that that is the best name
1:07:52 [Laughter]
1:07:56 it'll be like I am Spartacus I am Kyle
1:07:58 no I am
1:08:00 [Laughter]
1:08:03 let's see jrc said did you see Amazon
1:08:06 investing 4 billion in anthropic yeah
1:08:09 it's I started out I said it real early
1:08:11 on
1:08:12 um that's a big deal so this morning
1:08:15 the news this morning in succession the
1:08:18 first thing I I read I like flipped open
1:08:20 Twitter
1:08:21 and I saw Amazon invest 4 billion in
1:08:25 anthropic and I was like holy [ __ ] and I
1:08:27 so I put out a
1:08:28 Bard was incorrect all day today yeah
1:08:30 bards Bard's getting ready for uh for uh
1:08:34 Bard's like [ __ ] it I know I know Gemini
1:08:37 is coming so I'm just gonna suck for a
1:08:38 couple of days
1:08:40 um started out with four billion dollars
1:08:43 into anthropic and I thought okay a that
1:08:45 makes sense B I think it's brilliant on
1:08:48 Amazon's part it put you know we now
1:08:51 have just these major alliances
1:08:53 happening that are really really
1:08:54 interesting
1:08:56 um then the next thing I saw was Chachi
1:08:59 PT's going multimodal in two weeks
1:09:02 um and then I saw I don't know if you
1:09:04 saw this but Getty Images
1:09:06 um launched a generative AI image
1:09:09 generating tool that's only been trained
1:09:12 on Getty Images and the artists are
1:09:14 going to get paid for the generations
1:09:16 and
1:09:17 it's
1:09:20 you know it's uh they're sort of taking
1:09:23 the power back into their own hands they
1:09:24 they own this big proprietary data set
1:09:26 they're like [ __ ] it we'll train
1:09:28 everything on all of the images that we
1:09:31 own we'll make our own generation tool
1:09:33 and we'll pay the photographers
1:09:35 so you know those three things I saw
1:09:38 them like right in a row I'm like ah
1:09:40 it's all big stuff it's all happening
1:09:43 so it's Cuco
1:09:47 all right invest of all of them it's too
1:09:49 close to call Microsoft Google they're
1:09:51 all in on it
1:09:53 I don't know that I invest in all of
1:09:55 them
1:09:56 um
1:09:58 and some of them you can't invest in
1:09:59 them some of them aren't public yet so
1:10:02 but I guess you could if if you're an
1:10:04 accredited investor you could get in
1:10:08 but these investment rounds are [ __ ]
1:10:10 insane I'd like to put in fifty dollars
1:10:14 fifty thousand dollars they're like yeah
1:10:16 we're trying to raise a couple of
1:10:18 billion dollars here thanks
1:10:20 it was like trying to raise money in
1:10:22 Denver I oh it was so painful sometimes
1:10:25 I'd be talking to someone for like two
1:10:26 hours when I was first trying to raise
1:10:27 money for my company
1:10:29 and we'd be like two hours into this
1:10:31 just insufferable conversation where
1:10:33 this guide be just dragging us through
1:10:35 the the ringer like what's your revenue
1:10:38 and what's your ARR what's your mrr what
1:10:41 are you expect it to do here at random
1:10:42 man we're here
1:10:44 you know once you go to market strategy
1:10:46 what's your expansion strategy I'm like
1:10:48 oh my God and then at some point it hit
1:10:50 me and I was like hey just out of
1:10:52 curiosity how much are you thinking how
1:10:54 much are you thinking of investing well
1:10:56 up to five thousand dollars
1:11:01 get me out of here
1:11:05 [ __ ] fundraising fundraising in
1:11:08 Denver not for the faint of heart
1:11:11 hahaha
1:11:13 it's special it's special
1:11:17 oh man alive first a reference to
1:11:21 betamax and now the hour and the Tootsie
1:11:23 Pop have I jumped in the delirium listen
1:11:25 forever hook this is this is Gen X this
1:11:29 is Gen X bitter you betcha land all
1:11:32 night every night
1:11:34 I can't this is this is one place on the
1:11:36 planet I know I can make jokes about
1:11:38 Planet of the Apes and Soylent Green and
1:11:42 the Tootsie Pop guy and the Atari 2600
1:11:46 and people would be like yeah
1:11:48 [Laughter]
1:11:53 night and it was like there was
1:11:55 definitely an age range
1:11:58 there was definitely an age range
1:12:02 oh man
1:12:04 uh I meant mostly the monthly membership
1:12:08 or stay free oh
1:12:11 um I forget what you were asking about
1:12:14 um
1:12:15 abundance flow were you talking about
1:12:16 chat gbt if you're asking about do I
1:12:19 think it's worth paying the 20 bucks a
1:12:20 month to chat GPT yes
1:12:23 because you're going to get access to
1:12:25 Dolly three you've already got access to
1:12:27 code interpreter or Advanced Data
1:12:29 analysis you've got access to plugins
1:12:31 you're now going to have access to voice
1:12:34 and image multi modality
1:12:38 um and you're going to get access to the
1:12:40 early stuff for them and just until
1:12:42 further notice
1:12:45 they're they're still King of the Hill
1:12:47 if Gemini comes out and is better great
1:12:50 then we'll we'll flip our charts around
1:12:52 and we'll start recommending different
1:12:54 things but I I think for now 20 bucks a
1:12:57 month for what chat GPT is is a [ __ ]
1:12:59 bargain Becky please let me know if you
1:13:02 post your lives on YouTube it's my
1:13:04 bedtime when you're on hey Becky
1:13:06 um I do and in fact here let me show you
1:13:11 I'm almost caught up I'm I'm I've got
1:13:13 everything up through
1:13:16 this or September 15th from the very
1:13:19 beginning from April is when I started
1:13:21 doing these lives so the YouTube channel
1:13:24 is AI learning lab Dash TT
1:13:27 I didn't move quick enough and get it on
1:13:30 my own so some other dude has
1:13:32 YouTube AI learning lab the bastard but
1:13:35 that's all right he got he got there
1:13:36 first so Dash TT is the is there is this
1:13:41 one and well you'll see it it's my fat
1:13:44 face like 8 000 times oh like I haven't
1:13:47 done anything on the YouTube channel
1:13:49 except well this is this is a lot I've
1:13:52 downloaded nightly three-hour
1:13:56 um recordings of these things which
1:13:59 takes forever and then I've uploaded
1:14:01 them to YouTube which takes forever then
1:14:03 I have to wait for like two days for it
1:14:05 to write a transcript of them
1:14:07 then I take that transcript and I've got
1:14:09 this monster prompt that I wrote for
1:14:11 Claude and I go into Claude and it
1:14:13 writes the descriptions and the chapter
1:14:15 titles for each of the things and I'm
1:14:18 I'm almost caught up I've got the
1:14:20 um the chapterization done like through
1:14:23 August and I've got uploads through like
1:14:25 April or September 15th so I'm getting
1:14:28 there
1:14:29 so they're there all right I have a
1:14:31 background in Excel and VBA coding and
1:14:33 it's great yep it's awesome for that
1:14:35 kind of stuff so super cool
1:14:39 um oh yay I learned so much from you
1:14:41 thank you Becky I appreciate that it was
1:14:43 good seeing you the other day too really
1:14:44 good to see you
1:14:46 um
1:14:49 [Music]
1:14:51 Becky's the best by the way
1:14:55 she is
1:14:58 very cool
1:15:01 um do you think AI should be restricted
1:15:03 from the public well it's too late now
1:15:05 p29 Kiki
1:15:07 do I think it should be restricted from
1:15:09 the public I think that some of it
1:15:11 already is
1:15:13 um Sam Altman has said they have
1:15:15 invented some stuff that will never be
1:15:17 released
1:15:19 that makes you want to go get a job at
1:15:20 open AI just to figure out what that
1:15:22 [ __ ] is
1:15:23 that's where that's where my head goes
1:15:25 like I want to see that
1:15:27 um
1:15:31 Meta Meta has
1:15:36 meta has effectively let the the cow out
1:15:39 of the barn on that as as has stability
1:15:41 AI where they've open sourced their
1:15:44 large language models with the weights
1:15:45 and everything so basically the the keys
1:15:48 to the kingdom
1:15:50 um
1:15:51 so some fairly powerful models are
1:15:54 already out there the really the the
1:15:56 sort of next layer of model the kind of
1:15:58 GPT 5 layer and and maybe what Gemini is
1:16:02 or maybe whatever's coming after Gemini
1:16:05 the the kind of next level of whatever
1:16:08 these things are they they might not be
1:16:10 large language models as we know them
1:16:12 now they might be hybrid with some other
1:16:13 technology we I don't know but they're
1:16:16 likely going to have reasoning and
1:16:18 they're going to have
1:16:19 um autonomous actions
1:16:22 and those two things so so chat GPT
1:16:24 right now is is a fairly dumb
1:16:26 hermetically sealed thing where it's
1:16:29 just a probability engine you go in and
1:16:31 you ask it for [ __ ] and it generates
1:16:32 stuff and if you look at code
1:16:35 interpreter it's starting to do some of
1:16:37 that autonomous self-prompting and
1:16:40 things like that but but when these
1:16:42 things get true reasoning and they have
1:16:45 the ability to start taking actions on
1:16:48 their own that's when things get a
1:16:51 little weird we're the the technology
1:16:53 isn't there right now that the public
1:16:55 has access to
1:16:57 I have a sneaking suspicion that the
1:16:59 technology is absolutely there that
1:17:02 these big companies have access to I
1:17:04 think it's one of the reasons Elon Musk
1:17:05 is so freaked out and scared about like
1:17:08 how this stuff's being managed and
1:17:09 doesn't want to stay behind closed doors
1:17:12 um
1:17:14 but the cat's out of the bag so I think
1:17:17 I I think
1:17:19 the public and the developer community
1:17:21 in particular already knows
1:17:24 what this stuff is
1:17:26 what it can do and what the future looks
1:17:29 like and the the engineering community
1:17:31 right now is really pushing the
1:17:34 boundaries of improving even these
1:17:37 weaker models
1:17:38 to the performance level of like GPT 3.5
1:17:41 some of them are pushing gpt4 someone
1:17:44 someone got I think it was uh it was I
1:17:48 guess meta's code llama
1:17:51 for coding tasks surpassed gpt4 on one
1:17:56 of the major benchmarks right so there's
1:17:59 starting to be things in the marketplace
1:18:01 right now that are at that level so when
1:18:03 the next level comes in
1:18:05 if there's sort of this continued push
1:18:07 of Technology out to open source then it
1:18:10 could get kind of dangerous but there's
1:18:12 no stopping it at this point it's not
1:18:13 like you've got three or four companies
1:18:15 that have all the tech that the
1:18:17 government can just clamp down on them
1:18:20 you can't really uninvent this you can't
1:18:23 undistribute it
1:18:25 um and the developer Community is now
1:18:27 getting these things efficient enough to
1:18:30 be able to install on your phone and
1:18:31 apple quite frankly a lot of the chips
1:18:34 that they're putting into the Vision Pro
1:18:36 goggles and the new phones the m
1:18:38 whatever chips they were was it m
1:18:41 there was the R1 chip in the goggles and
1:18:43 there's some other chip they've got the
1:18:45 reality engine [ __ ] they're going to be
1:18:48 able to do very very sophisticated
1:18:49 machine learning on device
1:18:52 so you're going to be able to have you
1:18:54 know very strong large language models
1:18:56 on on phones with no internet connection
1:18:59 so
1:19:01 I don't know whether it's good or bad
1:19:04 I think it's irrelevant it just is
1:19:10 um that open AI is reserved for asking
1:19:12 how to build the extra test terrestrial
1:19:15 Sportster model
1:19:18 you know that that that open AI yeah
1:19:21 exactly what did I miss I want to make
1:19:23 hedgehogs it's funny hang on a sec
1:19:26 um
1:19:29 um Larry
1:19:31 Is Res let's see resurrected in the
1:19:37 latest open
1:19:38 AI
1:19:40 announcement
1:19:43 death was
1:19:46 greatly exaggerated
1:19:50 [Laughter]
1:19:53 um is Elon Musk truly screening
1:19:55 candidates for brain ships inserted yes
1:19:58 he's so it's not it's not like he's
1:20:01 green well it is it is like he's
1:20:02 screening Candace the FDA approved
1:20:05 neural link implants in humans about
1:20:08 two months ago they've been doing animal
1:20:10 studies for
1:20:12 however long to get the the technology
1:20:15 to the point that it's safe and they've
1:20:17 got their robots that that that
1:20:19 neurology thing if you haven't watched
1:20:21 the YouTube videos on what neuralink is
1:20:24 and and the robots that they've
1:20:26 developed
1:20:27 these roads just it's it's crazy science
1:20:31 fiction [ __ ] the thing that's amazing
1:20:33 about it Becky is so so a couple of
1:20:35 things they're obviously going to start
1:20:37 with people with neurological disorders
1:20:39 brain injuries um paralysis things like
1:20:41 that
1:20:43 um where these uh these implants can
1:20:46 make a dramatic difference so they're
1:20:48 gonna they're gonna likely start there
1:20:50 and I assume that the FDA probably has
1:20:53 some restrictions about the kind of
1:20:54 people they can test in
1:20:57 um but the the tech the real technology
1:20:59 there is not the electrodes like the
1:21:01 electrodes like this little sort of
1:21:03 it's like a it's like the size of a
1:21:05 quarter but the core of it it's like
1:21:07 this eraser size thing with I think it's
1:21:09 60 or 120 electrodes which are just
1:21:12 these super thin wires
1:21:15 that are like I don't know whatever it
1:21:17 is a tenth the width of a human care or
1:21:19 small I don't know they're teeny
1:21:22 but what they invented was the robot to
1:21:25 insert those 60 or 120 things it
1:21:28 actually like in real time looks at the
1:21:31 surface of your brain and it navigates
1:21:33 those things in between the blood
1:21:34 vessels so so as they insert the the uh
1:21:38 the electrodes into your brain they're
1:21:40 actually steering them you know through
1:21:42 the part of your brain that doesn't so
1:21:44 it doesn't hit any blood vessels so not
1:21:46 to cause any internal bleeding it's
1:21:47 crazy crazy
1:21:50 the but the thing that's wild is the
1:21:52 Vision Pro some of the technology in The
1:21:55 Vision Pro goggles that Apple just
1:21:57 released
1:21:58 are effectively they're not quite brain
1:22:01 implants but they're pretty flipping
1:22:02 close so they've got they've got these
1:22:05 four cameras looking at your eyes
1:22:07 and one of the things that they're doing
1:22:09 is they're measuring your emotional
1:22:12 response of the the sort of micro
1:22:14 movements of your iris
1:22:16 and so one of the one of the interface
1:22:19 Technologies in The Vision Pro goggles
1:22:22 is it'll display a bunch of icons in
1:22:25 front of you and then you look at them
1:22:26 and when you look at one it'll select it
1:22:28 and then you I think you do this
1:22:31 to to click on it
1:22:33 but they can analyze these micro
1:22:37 movements of your irises as you're
1:22:38 looking over to that icon they know that
1:22:41 you're about to click on it because your
1:22:44 your brain does some endorphin thing and
1:22:47 gets excited that you're going to click
1:22:48 on the button so they actually start
1:22:50 pre-loading that application in the
1:22:53 background before your eye even gets to
1:22:55 it
1:22:56 [ __ ] and saying
1:22:58 so that's because our IC before the
1:23:00 brain can process yeah exactly
1:23:02 so so I think that there's going to be a
1:23:06 lot of different
1:23:08 um
1:23:09 ways to get to brain computer interfaces
1:23:12 other than neuralink but yeah they're
1:23:14 starting
1:23:16 um they're starting human trials right
1:23:17 now I guess they're screening for them
1:23:19 right now it's wild it's just wild
1:23:24 how much is he paying is it worth me
1:23:26 considering how much is hooping
1:23:29 [Music]
1:23:31 I have the brain ship already hold on
1:23:34 reboot that's good
1:23:40 uh
1:23:45 oh I just sounded like Bill Clinton uh
1:23:50 how are you doing
1:23:53 he almost had that that gravelly voice
1:23:58 all right let's all right all right all
1:24:01 right NFL players NFL players how about
1:24:04 that Taylor Swift did you see Bill
1:24:06 Belichick they asked him about the the
1:24:08 Travis Kelsey Taylor Swift thing and he
1:24:11 goes he goes well Travis Kelsey's made
1:24:13 some catches as in in his career if he
1:24:16 gets this one it'll be the biggest one
1:24:18 it'll be the biggest catch of his career
1:24:20 I thought that was pretty good
1:24:26 oh man Zoom just turned on there AI
1:24:29 meeting companion as the default get
1:24:30 ready for meeting notes you know quite
1:24:33 honestly brother 52 thank goodness right
1:24:35 because
1:24:37 taking meeting notes like I've got my uh
1:24:39 we use Google meets in my company but
1:24:42 but we're thinking of switching to teams
1:24:44 or to zoom
1:24:45 they're they're all a pain in the ass
1:24:47 but um
1:24:49 but like our account team spend a
1:24:52 tremendous amount of time writing
1:24:53 meeting notes and dealing with them and
1:24:56 so like the Anthony that was on here
1:24:59 before that was talking about you know
1:25:01 80 percent of what he did he doesn't
1:25:04 have to do anymore like all of the
1:25:05 administrative stuff that sales people
1:25:08 like it just eats up their day
1:25:11 can be automated and and that's a
1:25:13 perfect example of it so I I say bring
1:25:16 on the [ __ ] robots to the meetings I
1:25:18 love that
1:25:20 um I'm retired but interested in knowing
1:25:22 about AI
1:25:23 um what are other retired individuals
1:25:26 doing with it I'll tell you what are
1:25:28 they doing with chat so I'll tell you a
1:25:30 good story so first of all if you
1:25:33 haven't done it
1:25:35 um
1:25:35 just spend the bulk of your time right
1:25:38 now kind of exploring
1:25:40 Chachi BT and tools like it like Claude
1:25:44 and Bard I think these three are the
1:25:46 ones that that really right now are the
1:25:48 ones worth playing with because they're
1:25:49 they're evolving in real time
1:25:52 um they just announced multi-modality
1:25:55 which is it can see and hear and make
1:25:57 pictures it's going to be crazy and
1:25:59 that's happening in two weeks Claude
1:26:01 just got a four billion dollar
1:26:02 investment from AWS which we won't see
1:26:04 immediately but that means they're going
1:26:06 to be there for a while and their shit's
1:26:07 gonna get better and better and better
1:26:09 and then Bard's got Gemini coming so so
1:26:12 those three right now just play with
1:26:14 those and if you haven't played with
1:26:16 this prompts.chat thing I would do that
1:26:18 here's the thing about the retirement
1:26:19 thing I've
1:26:21 I think I have successfully unretired
1:26:24 four or five people and probably more
1:26:28 um
1:26:29 I don't give a [ __ ] how retired you are
1:26:31 this stuff is really exciting there
1:26:34 there's an opportunity to reinvent
1:26:36 yourself in ways that I don't think
1:26:39 people can imagine right now because so
1:26:43 so so I wrote an article on this if you
1:26:45 go on my LinkedIn profile I think I'm at
1:26:48 Kyle Shannon on LinkedIn but I'm CEO of
1:26:50 story of mine I'm I'm easy enough to
1:26:52 find
1:26:53 I did an article about
1:26:55 um on on LinkedIn called was it on
1:26:57 LinkedIn or was it
1:27:01 I might have just done it as a tick tock
1:27:03 video anyway
1:27:05 um called
1:27:07 um the 10 000 hour rule is dead and and
1:27:10 the ten thousand hour rule is that thing
1:27:11 that Malcolm Gladwell made famous
1:27:14 that if you want to reach a level of
1:27:16 expertise in any given area
1:27:19 you have to put in your ten thousand
1:27:21 hours and if you've been on the planet
1:27:23 for a while like us old [ __ ] have and
1:27:26 if you're retired you've been been
1:27:27 around for a while you kind of know that
1:27:29 to be true right you know that if you
1:27:30 want to change the trajectory of what
1:27:32 you do it's kind of a two or three or
1:27:35 four year commitment depending on how
1:27:38 deep you dive
1:27:39 and it often involves going back to
1:27:41 school or it involves like you know
1:27:44 doing an apprenticeship or digging in
1:27:47 and
1:27:49 with these AI tools
1:27:52 you can cut that from like 10 000 hours
1:27:55 to like
1:27:56 500
1:27:58 a thousand
1:28:00 500 hours is like two months
1:28:04 a thousand hours is like four months so
1:28:06 so imagine picking a topic that you know
1:28:09 nothing about right now
1:28:12 and just go to chatgpt and spend the
1:28:14 next four months months focusing on that
1:28:17 one thing you'll be really [ __ ] good
1:28:19 at that thing
1:28:21 now there are some things that require
1:28:22 physical dexterity like playing
1:28:24 instruments that might take it take a
1:28:25 bit longer but to get
1:28:28 personalized education and personalized
1:28:30 kind of knowledge ingestion for a new
1:28:33 thing you can get up to speed really
1:28:35 quickly and if it's something like
1:28:36 coding where it actually does the coding
1:28:38 you don't even need to learn the coding
1:28:40 you just need to learn okay how do I put
1:28:42 apps together and what are the apps that
1:28:45 I want to make
1:28:46 so so I think the opportunity for people
1:28:49 to reinvent themselves multiple times a
1:28:52 year not like I need four years to
1:28:54 figure out if I like this or not no give
1:28:56 it a couple of months and see if you
1:28:57 like it oh I really like this there's a
1:29:00 guy in the AI Salon
1:29:02 um if you if you how many people are
1:29:04 here I've got a lot of people here so if
1:29:06 if you want to find a community so so a
1:29:10 fair amount of the community that show
1:29:11 up here regularly are also migrating
1:29:13 over to the AI salon so if you go to the
1:29:15 salon.ai
1:29:17 um we've got a meetup group we meet
1:29:19 every every two weeks in person here in
1:29:21 Denver and then
1:29:23 um
1:29:24 virtually everywhere else
1:29:26 and then we've got a Discord server and
1:29:28 that's where people are migrating to
1:29:31 um and one of the guys in Discord his
1:29:34 name's Roger and Roger is a retired
1:29:36 software engineer and you know Rogers
1:29:40 really good guy but you know he's he's
1:29:42 always the he's always the curmudgeon
1:29:44 like no matter what the point is he's
1:29:46 like asking the Counterpoint he's always
1:29:48 got yeah but what about this but what
1:29:50 about that but what about that
1:29:52 um and when we first started the salon
1:29:54 we called it the AI artist salon and
1:29:57 Roger kind of took offense to that and
1:29:59 so he named his his name in Discord was
1:30:03 Roger not an artist
1:30:05 he was a conscientious objector
1:30:08 and then a funny thing happened to Roger
1:30:11 in the AI Salon is he started playing
1:30:14 around in the mid-journey channel
1:30:16 and he wanted to know why mid-journey
1:30:20 couldn't make consistent images and so
1:30:22 he started taking a programmer's
1:30:25 approach a very systematic approach
1:30:28 to prompt Engineering in mid-journey
1:30:32 and his images that he was creating
1:30:35 started being better than everyone
1:30:37 else's like the artist
1:30:39 and and he was getting really good
1:30:42 results from mid-journey because he took
1:30:44 this very you know engineering approach
1:30:46 to it and he has since changed his name
1:30:48 to Roger becoming an artist which I
1:30:51 think is great
1:30:52 um
1:30:54 and you know he's talked about the fact
1:30:56 that he was not expecting that he was
1:30:58 not expecting
1:31:00 to sort of find find the amount of joy
1:31:02 that he got out of making art
1:31:05 um Kyle what's the term you came up with
1:31:06 last night you wrote it down
1:31:11 I did I wrote it on my sag-aftra on my
1:31:15 side you know what that means oh Siri if
1:31:17 you like I can search the web for no I
1:31:20 said I wrote it on my Siri Siri
1:31:26 she's so jealous
1:31:29 I wrote on my Saga after a pay stub from
1:31:32 my nine dollar check from New Jack City
1:31:36 um
1:31:41 the term that I came up with last night
1:31:43 was the democratization of the
1:31:45 specialized
1:31:48 and
1:31:49 and so
1:31:51 and so what I meant by that and it's
1:31:53 it's it's it's kind of this thing that
1:31:56 it's it's kind of thing that I'm talking
1:31:58 about here I assume that's why you're
1:31:59 asking about it
1:32:04 our our professional
1:32:07 work environment for the most part in
1:32:10 our education systems
1:32:13 are designed to teach people Specialties
1:32:16 right you're going to be an accountant
1:32:18 you're going to be a this you're going
1:32:19 to be at that you're going to be at that
1:32:20 you're going to be an illustrator you're
1:32:21 going to be a copywriter you're going to
1:32:22 be this all right you're going to be a
1:32:24 creative director are you a writing
1:32:26 creative director or picture creative
1:32:27 director all these specialties
1:32:30 and
1:32:32 as I've been exploring lateral play
1:32:35 where I'm sort of going outside of the
1:32:38 bounds of where I know my boundaries are
1:32:41 from a competence standpoint
1:32:44 I'm actually getting decently competent
1:32:46 in areas that I never would have been
1:32:49 competent in so it's democratizing
1:32:51 specialization
1:32:55 and so
1:32:56 I think the implications of that are
1:32:58 just [ __ ] insane and this idea of if
1:33:02 you're retired what is it a what does
1:33:04 that mean and if you're still curious
1:33:06 and still vibrant and still wanting to
1:33:07 kick around and do something there's
1:33:10 never been a better [ __ ] time to do
1:33:12 it because you don't have to spend four
1:33:14 years figuring something out you can
1:33:16 just it's been democratized go figure
1:33:19 out a specialty maybe you realize you
1:33:22 love it maybe you realize you hate it
1:33:23 then you're like [ __ ] it maybe I'll take
1:33:25 up cooking and then you realize nope I
1:33:27 hate doing dishes [ __ ] that I mean like
1:33:29 gardening oh I love the feel of dirt in
1:33:32 my fingers all right gardening it is and
1:33:34 then you run down that [ __ ] rabbit
1:33:36 hole before you know it you're the
1:33:37 Mushroom King of Oregon
1:33:39 I don't know
1:33:42 what is Apple doing about all these AI
1:33:44 things uh Ricardo that's a very good
1:33:46 question and so a couple of things
1:33:51 about two weeks ago I heard that they
1:33:54 spent they're spending the bulk of their
1:33:57 24.6 billion dollar B billion research
1:34:02 budget
1:34:04 Apple's research budget is bigger than
1:34:07 the market cap of open AI the company
1:34:11 behind chat gbt their research budget is
1:34:14 bigger than the market cap of open AI
1:34:17 okay so there's that
1:34:20 so they've been spending the bulk of it
1:34:22 on generative AI
1:34:24 so that's that
1:34:27 second thing if you paid close attention
1:34:29 to the Vision Pro announcement or even
1:34:32 if you didn't
1:34:35 they very
1:34:37 subtly but clearly said
1:34:40 um
1:34:43 yeah what y'all are doing is cute but
1:34:46 what we got coming is
1:34:49 going to be on another level
1:34:51 they didn't use the term artificial
1:34:53 intelligence or AI once they didn't once
1:34:56 mention the metaverse
1:34:58 they did mention machine learning they
1:35:00 did mention
1:35:02 um
1:35:05 embeddings
1:35:06 they did mention vectors
1:35:10 so they mentioned a lot of terms around
1:35:12 Ai and machine learning
1:35:15 and they made it very very clear that
1:35:17 the 16 sensors that are in this goggle
1:35:20 that are looking out and looking in and
1:35:22 looking down and looking up and who the
1:35:25 [ __ ] knows where all the sensors are
1:35:27 looking
1:35:28 they're processing all of that sensor
1:35:30 data in real time on this R1 chip this
1:35:33 reality chip over your left eye
1:35:36 so they're doing real time on device
1:35:40 machine learning processing
1:35:43 that's super important because
1:35:46 one of the privacy and security concerns
1:35:49 is if I send my [ __ ] to open AI are they
1:35:52 going to use it for training and the
1:35:53 answer up to this point has been yes
1:35:55 that's why they came out with chat EBT
1:35:57 Enterprise like we promised this time we
1:36:00 won't use it
1:36:03 um and then the other thing that Apple
1:36:05 did is in the i iPhone 15 there were a
1:36:09 number of announcements about the iPhone
1:36:10 15 that they've basically doubled their
1:36:13 you know machine learning their reality
1:36:15 engine or whatever whatever they're
1:36:17 calling it
1:36:18 so
1:36:19 so Apple has got
1:36:22 they've got your data they've got the
1:36:25 privacy of your data which they have
1:36:27 been militant about protecting so so
1:36:29 Apple in my opinion is the only company
1:36:31 on planet Earth
1:36:33 that can actually
1:36:36 legitimately without cracking a smile
1:36:39 when they say it say we'll protect your
1:36:41 privacy and your data everyone else has
1:36:44 [ __ ] sold us down the river but
1:36:46 Apple's been the only one that's really
1:36:47 you know like you know are they
1:36:49 leveraging our data and doing stuff
1:36:51 probably but you know are they doing it
1:36:54 explicitly like Facebook and Google know
1:36:57 um so I my instinct it'll probably be in
1:37:01 the spring but
1:37:04 I think their Vision Pro goggles come
1:37:06 out November sometime before Christmas
1:37:09 so maybe they make an announcement about
1:37:10 AI then I mean quite frankly Siri needs
1:37:14 to be flushed down the toilet or
1:37:15 reinvented right so
1:37:18 um that would be nice and then and then
1:37:20 I think the other thing that apple is
1:37:22 going to do really well is like like
1:37:23 they do they'll kind of redefine the
1:37:26 category of what
1:37:29 consumer grade artificial intelligence
1:37:32 really is I think their agents are going
1:37:35 to be great
1:37:38 they're going to be great it's you're
1:37:40 gonna just be like hey I need to do this
1:37:41 and I'll be like all right I'm off I'm
1:37:43 off boss let me go take care of that for
1:37:45 you bow
1:37:48 Kyle Shannon where are you getting your
1:37:50 news
1:37:51 um
1:37:51 mostly Twitter
1:37:54 um a little bit on LinkedIn it's mostly
1:37:56 who I follow on Twitter I follow like
1:37:58 Robert scoble I follow Ethan Malik I
1:38:01 follow Andre carpathi from openai like
1:38:04 all of the all of the players that talk
1:38:07 about these companies all the time like
1:38:09 the the reason these companies are here
1:38:11 these are the companies kind of on the
1:38:13 the Leading Edge of the sword so I just
1:38:16 tend to follow companies that are
1:38:17 following or people that are either
1:38:20 following or in these companies
1:38:23 and talk about them and that's most of
1:38:25 the news that's there I mean there's
1:38:27 lots and lots and lots of news about
1:38:29 scientific white papers and [ __ ] like
1:38:32 that that
1:38:33 are esoteric but really important but
1:38:35 we're not going to see [ __ ] for two
1:38:37 years but most of the stuff mostly the
1:38:39 announcement these guys are doing is
1:38:40 like they're they're in a competitive
1:38:42 War right now
1:38:44 right
1:38:45 Microsoft open AI AWS anthropic that
1:38:49 pairing meta and whoever they paired
1:38:52 with I forget who they paired with
1:38:54 Google
1:38:56 cohere
1:38:58 Apple like there's there's major
1:39:01 factions forming amongst these big
1:39:04 Frontier players
1:39:06 is there any use in writing a book on
1:39:08 fair use for AI and academic settings
1:39:11 um
1:39:15 I think there is use in having an
1:39:17 opinion on fair use in academic settings
1:39:23 writing a book on it
1:39:26 to the extent that you could write the
1:39:28 book as a living document I think it
1:39:31 could be interesting maybe it's more
1:39:32 like
1:39:34 a series of blog posts that you
1:39:37 occasionally roll into a book into book
1:39:39 form
1:39:42 and and even enrolling it into book form
1:39:44 like I would I don't know there might be
1:39:46 some way to like date it or something
1:39:47 like that like
1:39:49 because things are changing so fast and
1:39:52 the the league like the definition of
1:39:54 fair use is I
1:39:57 what the [ __ ] is fair use gonna be when
1:39:59 you've got when you're training a large
1:40:02 language model on all the data you can
1:40:05 get your hands on like most of the
1:40:06 public internet and and you know they
1:40:09 apparently trained it on some pirate
1:40:11 data sets of published books like it's
1:40:14 all in there but it's not in there as as
1:40:16 the documents themselves it's now just
1:40:17 in there as these vectors
1:40:19 in semantic word space math space
1:40:24 um
1:40:25 it's such a [ __ ] gray area I think
1:40:27 it's going to be litigated for the next
1:40:29 20 years so I I don't think that
1:40:31 anything you could write right now will
1:40:33 will stand the test of time unless it's
1:40:36 kind of foundational here are principles
1:40:38 we should follow but the the Tactical
1:40:41 execution of any of that stuff is just I
1:40:44 I just it feels very far away from me
1:40:47 but it's here's the thing here's my my
1:40:51 POV on anything in universities right
1:40:54 now I give I gave a talk to
1:40:56 um I won't say the name of the
1:40:58 University but a local University here
1:41:01 in Colorado
1:41:03 and on on AI and this was the public
1:41:07 policy group
1:41:09 in this organization
1:41:12 their their staff meetings
1:41:15 they're not talking about AI they are
1:41:18 they are now after my talk apparently
1:41:21 they weren't talking about AI I'm like
1:41:23 it's a new school year
1:41:25 like you're not talking about it like
1:41:27 you're not you you haven't even at least
1:41:29 said it's evil or it's good like you
1:41:32 like you don't have a point of view on
1:41:33 it so I think having a point of view in
1:41:36 an academic setting right now is
1:41:38 actually really important so if you're
1:41:41 educating yourself on this stuff and
1:41:43 curious about it and not writing out of
1:41:45 a a point of view of ignorance then yeah
1:41:48 I say go for it
1:41:50 um but I just wouldn't get too precious
1:41:51 about how long it's going to be relevant
1:41:53 because I think
1:41:54 you know the the copyright office right
1:41:57 now is like you know you can't copyright
1:41:59 anything that's going to change
1:42:01 so and then what does copyright
1:42:03 protection even mean in a world of
1:42:05 infinite content generation infinite
1:42:08 personalized content generation
1:42:13 what's going to happen to children's
1:42:14 book sales when
1:42:17 I've got a multimodal chat GPT that can
1:42:21 do world-class illustrations and
1:42:23 maintain Larry the Hedgehog throughout
1:42:25 my kids book
1:42:27 I don't know if you've seen that I
1:42:29 should show that there's there's 150
1:42:31 people in here let me show you something
1:42:32 if you haven't seen this so open AI
1:42:35 three days ago announced
1:42:37 um Dolly three so if you've heard of
1:42:39 Dali 2 it makes images poorly it's been
1:42:43 around for a year
1:42:45 and
1:42:47 they announced
1:42:49 Dolly three
1:42:51 um let's see open AI slash
1:42:55 d-a-l-l so it's d-a-l-l-e-3
1:43:00 and that'll take you here
1:43:03 and so
1:43:05 this was three days ago this morning
1:43:08 open AI announced that the new gpt4 is
1:43:13 going to be able to see images hear
1:43:15 words and say words so it can see and
1:43:19 then with the addition of Dolly three
1:43:21 it'll be able to make images so it's
1:43:23 going multimodal
1:43:25 in two weeks within two weeks so it'll
1:43:28 probably start rolling out
1:43:30 where are we what day is today Monday
1:43:32 probably start rolling out this week
1:43:34 some people probably get it this week
1:43:35 some people get it over the weekend some
1:43:37 people get it next week
1:43:39 um
1:43:40 so it does a bunch of things like one of
1:43:43 the things it does is it it takes the
1:43:46 details from your prompt and it can
1:43:47 really accurately do them like it does
1:43:49 text really well
1:43:51 the the details of this prompt are
1:43:53 captured in this image
1:43:55 um so it does all that stuff really well
1:43:57 but let me show you we've been joking in
1:44:01 here for the past couple of nights about
1:44:02 Larry the Hedgehog so but watch this
1:44:04 video
1:44:11 [Music]
1:44:22 my daughter says its name is Larry can I
1:44:25 see more like this it started out my
1:44:27 daughter wants a hedgehog with
1:44:29 sunflowers on it or whatever it was he
1:44:31 picked this one or she picked this one
1:44:33 my daughter says its name is Larry
1:44:36 Dolly 3 can now maintain Larry across
1:44:39 the next series of prompts
1:44:44 [Music]
1:44:50 [Applause]
1:44:51 [Music]
1:44:59 [Applause]
1:44:59 [Music]
1:45:12 foreign
1:45:21 to get mid-journey or stable diffusion
1:45:23 or Dali to do anything resembling a
1:45:27 coherent character across prompts
1:45:30 um
1:45:30 that's like a minor miracle so what
1:45:33 happens what happens to the children's
1:45:35 book industry when
1:45:39 every kid and every parent can make a
1:45:42 personalized book for their child every
1:45:44 night
1:45:47 every night
1:45:48 the kid or the parent or the big brother
1:45:50 or the little brother or the little
1:45:52 sister can generate
1:45:55 a world-class quality children's book
1:45:58 personalized to that kid that night
1:46:04 what like
1:46:05 what happens to copyright in that
1:46:08 environment I don't like I don't know
1:46:10 I'm posing that as a massive rhetorical
1:46:12 question that I don't have a [ __ ]
1:46:14 clue how to answer but I but I do know
1:46:17 that that's the world we're headed
1:46:19 toward very very quickly hyper
1:46:21 personalized content that anything I ask
1:46:24 for I'll be able to get for me
1:46:28 and it's not just going to be children's
1:46:30 books it's going to be a playlist of
1:46:32 original music that sounds like the
1:46:34 music I like
1:46:36 and if I'm wearing those stupid [ __ ]
1:46:38 goggles from Apple it'll be measuring
1:46:40 the emotional response to the music it
1:46:42 generated for me
1:46:44 and it'll be custom writing the music to
1:46:47 make make my dopamine just [ __ ] keep
1:46:50 pinning
1:46:51 it's like you think you think we're
1:46:54 addicted to [ __ ] now wait till they can
1:46:56 deliver up custom content while they're
1:46:59 measuring our dopamine output
1:47:03 they'll give them ideas
1:47:10 even if that's the case it's not for
1:47:12 humanitarian reasons there's financial
1:47:14 advantage yeah listen don't get me wrong
1:47:16 I I don't I don't have any illusions
1:47:18 that any of this stuff isn't isn't all
1:47:20 for massive profit making you know
1:47:23 everyone's trying to make you know money
1:47:24 here although I will give Sam Altman
1:47:27 some credit Elon Musk gives him zero
1:47:29 credit I think that Sam's capped profit
1:47:34 model and what he's doing with World
1:47:36 coin and World ID
1:47:38 um is at least an attempt at dealing
1:47:41 with the the the
1:47:44 productivity Gap that's going to be
1:47:46 created
1:47:47 um from
1:47:48 these tools getting more productive and
1:47:51 you know needing less people that Gap
1:47:53 Sam Altman is at least he's at least got
1:47:55 an idea for how to attack it
1:47:59 um
1:48:01 oh the money comment was about Apple
1:48:03 when I mentioned the Privacy thing yeah
1:48:04 no I know but but there were there were
1:48:08 a number of opportunities some of the
1:48:09 high profile stuff in the in the Trump
1:48:12 Administration where where Apple just
1:48:14 didn't give in to the
1:48:16 to the back door stuff now at some point
1:48:19 I think someone figured out how to
1:48:21 backdoor in there anyway and it's
1:48:23 possible that Apple just gave him that
1:48:25 and said you can't say we gave you this
1:48:27 I don't know who knows
1:48:29 who knows but my point about Apple with
1:48:31 the Privacy stuff is I think they've got
1:48:33 whatever their motivation for it is
1:48:35 they've got their reputation for it and
1:48:37 I and I think that they could they could
1:48:40 really
1:48:42 consumerize
1:48:44 Ai and machine learning right right now
1:48:46 it still requires us to be geeky like
1:48:48 the fact that we have to have this
1:48:50 channel the fact that that this is a
1:48:52 thing this won't be necessary I don't
1:48:55 know two years from now three years from
1:48:57 now this is really necessary right now
1:49:00 because like I can't I I'm I feel
1:49:04 clueless every [ __ ] day and this is
1:49:06 all I all I pay attention to right and I
1:49:10 feel clueless every day because the
1:49:11 stuff is moving like it's impossible to
1:49:13 keep up with
1:49:15 um it's going to stabilize but we're not
1:49:19 we're not close to it yet so anyway all
1:49:23 right all right let's let's carry on
1:49:25 here
1:49:26 um Twitter was x one day I freaked out
1:49:28 and deleted the app I had no idea that
1:49:31 was that was I I knew it was coming so I
1:49:34 didn't do that but like it did like the
1:49:36 icon changed and because it was black
1:49:38 and white it kind of looked like have I
1:49:40 been hacked
1:49:42 because you know what you know what's
1:49:44 funny the like the all the uh icons on
1:49:46 your home screen
1:49:48 I didn't realize how
1:49:51 um subconscious the location and colors
1:49:55 of those icons are and so when it went
1:49:57 from light blue to jet black it was like
1:50:00 light blue with soft lines of the Little
1:50:02 Tweety Bird and then it went to jet
1:50:04 black with hard angular lines of X it
1:50:08 was jarring it was like Ugh what's on my
1:50:10 phone it's like a fly landed on it
1:50:14 you need to wear dark shirts I do it's a
1:50:17 it's a constant Source I've got all
1:50:19 these lovely shirts but they have
1:50:21 patterns on them and you can't read [ __ ]
1:50:23 and I know it's we're too far in tonight
1:50:25 though
1:50:26 I'll ask the committee to see if they're
1:50:28 interested all right I think that's to
1:50:31 an internal comment but cool I love when
1:50:34 you guys talk to each other
1:50:38 um don't use their AI use our AI here's
1:50:42 three reasons why we are better I don't
1:50:44 know if that's in reference to but
1:50:46 something I said obviously canva just
1:50:49 announced something big eight days away
1:50:50 I don't know what
1:50:55 thank you
1:50:57 they've already got their what's it
1:51:00 called their
1:51:03 Auto generation content creator thingy
1:51:07 um canva AI now
1:51:13 mint
1:51:27 free online announcement maker
1:51:30 March 22nd
1:51:36 I'm getting you speaking gigs Kyle oh
1:51:38 cool awesome
1:51:39 I'd love to do that
1:51:44 thank you Becky I appreciate that
1:51:47 [Music]
1:51:48 um
1:51:51 yeah I'm happy to talk if you want me to
1:51:52 talk at your company your thing or your
1:51:56 institution I'm happy to do it
1:51:59 um this stuff's important so
1:52:03 um
1:52:06 Becky Becky Becky can represent me
1:52:11 make sure they don't interfere with his
1:52:13 lives yeah I can't do anything 8 P.M
1:52:15 Mountain Time
1:52:16 I I get if if if I'm like a half hour
1:52:20 late lately I get like everything okay
1:52:22 you're coming you're coming when you're
1:52:23 gonna be there
1:52:26 y'all are relentless
1:52:30 Becky ruse you can make money with chat
1:52:32 gbt we haven't done that tonight by the
1:52:34 way if you haven't been here before my
1:52:35 name is Kyle Shannon this is the AI
1:52:37 learning lab and
1:52:41 laughs
1:52:44 um we make fun of those people
1:52:46 at some point I'm going to start selling
1:52:48 the uh the golden button but right
1:52:51 [Applause]
1:52:52 right now uh if you want to know about
1:52:55 making money with AI tools I'm your guy
1:52:57 yeah Herod Herod um who he he came on
1:53:01 last night and spoke and he and I
1:53:04 actually talked yesterday as well
1:53:06 um he's gonna be heading up the video
1:53:10 Guild when we launched that in the AI
1:53:12 Salon which let me put the info for that
1:53:15 up again
1:53:16 so if you're interested in the AI Salon
1:53:18 go to thesalon.ai that's the URL
1:53:21 and that's a link tree and the the uh
1:53:24 invite to the Discord is there
1:53:28 um
1:53:29 but yeah Herod is doing some really cool
1:53:32 stuff he was a
1:53:35 um the the person before I forget your
1:53:36 name who was retired and like what are
1:53:38 retired people doing well Herod wasn't
1:53:40 retired Herod was a software engineer
1:53:43 and then Herod started playing around
1:53:46 with this here
1:53:47 fanciful generative AI stuff and he was
1:53:50 like Hey I really like this art stuff
1:53:52 and he got really good at the art stuff
1:53:54 and now he got hired
1:53:56 as an artist so he changes changed his
1:53:59 career and what did you say it took you
1:54:01 six months to go from engineer to artist
1:54:03 like working hired illustrator at a
1:54:07 company I mean come on man
1:54:10 this reinvention things cool it's so
1:54:13 good yeah about six months that's super
1:54:15 cool
1:54:17 um I wrote a short screenplay for my 14
1:54:19 year old nephew as the hero yes plus
1:54:21 friends
1:54:22 it never has to end exactly exactly
1:54:25 Source Camp I mean think about that as
1:54:28 entertainment so so remember we used to
1:54:30 do that as kids you know as as kids we'd
1:54:33 have this sort of infinite imagination
1:54:35 thing and we'd go play Soldier war or
1:54:37 whatever we'd go dig holes and we were
1:54:39 hiding and right and then you could do
1:54:42 that for days on end and it was the
1:54:44 story would just continue oh wait sorry
1:54:45 repin that thing that was canva I think
1:54:47 it was Silver Fox said something I just
1:54:49 saw it but missed what it said
1:54:52 with these tools
1:54:54 especially when they start to have
1:54:56 ongoing memory right like pie sort of
1:54:58 has that going on right now these things
1:55:01 right now don't really have ongoing
1:55:02 memory canva explore canvas magic 10-4
1:55:05 by invite on the canvas site
1:55:08 canvas Magic
1:55:10 so I assume that's just going to be
1:55:11 generative generative AI within it
1:55:15 probably
1:55:16 oh you know what you know what it could
1:55:18 be you know what would be brilliant for
1:55:19 canva
1:55:21 this is hopefully what it is is
1:55:24 so right now all these template sites
1:55:27 are are a bit of a [ __ ] show because
1:55:31 they create a template Marketplace and
1:55:33 then you have all these designers come
1:55:34 in and and you know the designers have
1:55:37 varying degrees of competence
1:55:40 and then they make all these templates
1:55:42 and like all of the templates look good
1:55:44 but then when you actually go and buy
1:55:46 one or try to use one you realize oh
1:55:48 it's sort of half Complete because the
1:55:50 designer didn't really know what they
1:55:51 were doing and it ends up being a
1:55:53 nightmare
1:55:54 well how about rather than having you
1:55:57 know sort of this hundred thousand or
1:55:59 millions of templates that you have to
1:56:01 go sift through and dig through you can
1:56:04 just say make me a website that looks
1:56:07 like this or make me an Instagram post
1:56:08 that looks like this and it just does it
1:56:10 what is canva canvas kind of like
1:56:14 um
1:56:15 illustrator and Adobe InDesign
1:56:18 sort of rolled together it's sort of
1:56:20 template based
1:56:22 um page screen page the layout program
1:56:26 um and it's got
1:56:28 uh
1:56:30 um it's got all sorts of pre-built
1:56:32 templates and it's it's just a website
1:56:34 you go to and rather than having to like
1:56:36 you know pay your Adobe extortion fee
1:56:40 you pay their the canva extortion fee
1:56:42 which is a lot less and and it's it's
1:56:45 much more geared toward social media you
1:56:48 know outputs and things like that in
1:56:51 Middle School me and my friends were
1:56:53 doing endless Star Trek episodes yeah
1:56:55 yeah exactly Clint exactly
1:56:59 so with these tools we're just going to
1:57:00 be able to do that in kind of endless
1:57:03 modalities right there could be a work
1:57:06 version of that where you've got like a
1:57:09 sales version of a Thousand and One
1:57:11 Arabian Nights where you just keep
1:57:13 engaging a client and perpetually Cliff
1:57:16 cliffhanging them or or at home or you
1:57:21 know games with friends so crazy crazy
1:57:26 um
1:57:27 canva.com is is canva so canva right now
1:57:31 has a thing called bulk create
1:57:33 where you can take a CSV file of like a
1:57:36 bunch of you know Instagram headlines
1:57:38 and then pick a design and select here's
1:57:42 the headline I want to be you know
1:57:43 replaced out of the CSV file and it'll
1:57:46 generate you like you know 50 variations
1:57:50 of that image
1:57:51 and so that's something you can do with
1:57:53 gpt4 maybe they're going to make that
1:57:56 more native or the ability to create
1:57:58 your own designs with just plain plain
1:58:01 English inputs that's super cool
1:58:05 um
1:58:08 this is very much necessary digital
1:58:11 Danny
1:58:12 you know why because we are the
1:58:15 Irregulars and we know we do not go away
1:58:19 it's so true
1:58:21 [Laughter]
1:58:23 oh man y'all are nuts I like it
1:58:28 um
1:58:30 don't use their a uh okay that's that uh
1:58:36 oh that was Bigfoot electrode don't use
1:58:39 their AI use Rai about Google versus
1:58:42 Microsoft versus the other four yeah
1:58:44 that's business like they're all going
1:58:45 to try to get you to use their tool
1:58:48 and and listen here's the good news for
1:58:51 us
1:58:52 the good news for us is that Chachi PT
1:58:55 happened
1:58:57 you know Chachi PT launched and hit 100
1:59:00 million users in in eight weeks or six
1:59:02 weeks whatever it was six weeks
1:59:05 why is that a good thing because
1:59:06 everyone else freaked the [ __ ] out and
1:59:09 are like we gotta do AI too so everyone
1:59:11 leaned into this industry and so now we
1:59:14 have all this major competition this
1:59:17 major investment going into this stuff
1:59:19 which means we're the beneficiaries of
1:59:21 that if if they're gonna get our
1:59:23 eyeballs
1:59:26 they're gonna have to have the best [ __ ]
1:59:28 it's how Google got to their position of
1:59:30 power
1:59:31 search engines suck there was Yahoo then
1:59:34 there was a handful of search engines
1:59:37 that Yahoo you know just dominated over
1:59:40 and then Alta Vista came out and all of
1:59:42 a sudden Alta Vista was like the one and
1:59:45 everyone's like ooh Alta Vista and then
1:59:46 you know Yahoo just sort of dropped off
1:59:49 the face of the planet
1:59:51 and then Google came out and it was just
1:59:55 better than anything else that had come
1:59:57 before it and it was the quality of that
2:00:00 product
2:00:02 that's why it took out took took off you
2:00:05 know there were some anti-competitive
2:00:06 practices in tossed in there for good
2:00:08 measure but you know when you're dealing
2:00:10 with billions of dollars you're gonna
2:00:11 have some of that [ __ ]
2:00:13 Kyle is the best thank you Becky
2:00:16 our smartphones here to stay will will
2:00:20 we have integrated personal assistant
2:00:22 Bots yes yes we absolutely will
2:00:25 smartphones are here to stay and we will
2:00:27 have
2:00:28 um have them given smartphones have done
2:00:31 with text to speech how will AI do to
2:00:34 evolve worldwide language watch
2:00:38 Gustavo
2:00:41 watch wait
2:00:47 um
2:00:47 [Music]
2:00:57 look Gustavo you you can never get
2:01:01 enough of Kyle but you can't get enough
2:01:03 there's never enough Kyle Gustavo
2:01:06 Gustavo listen to Kyle listen to him
2:01:11 talk so we've heard from a number of
2:01:13 clients that modular content is
2:01:14 important to them getting more efficient
2:01:16 with how we create content and how we
2:01:18 leverage contents
2:01:26 behind me you see these little green
2:01:28 boxes um that's how we think about
2:01:30 stories at storyline
2:01:32 Kyle
2:01:33 speaks Italian
2:01:35 no
2:01:37 big stories down into little atoms right
2:01:40 little modules
2:01:50 the only Italian I speak is
2:01:54 it's a divine
2:02:00 oh man
2:02:03 um
2:02:04 [Music]
2:02:07 anyway
2:02:09 your question about
2:02:11 mobile phones and communicating in
2:02:14 different languages
2:02:17 I think that we are probably within
2:02:21 we'll see the first
2:02:24 um
2:02:25 announcements of it nvidia's already
2:02:28 announced this they announced it a while
2:02:29 ago but we haven't we haven't seen much
2:02:31 of it since
2:02:32 but the the hey gen thing this is this
2:02:35 this Italian video right here is from a
2:02:38 company called hey Jen
2:02:42 um
2:02:44 so
2:02:47 that hey Jen thing that's functional
2:02:49 right now you upload a file in like 10
2:02:51 or 15 minutes later if you if you pay
2:02:52 for it and you get priority rendering
2:02:56 um you'll get back
2:02:58 I think they're up to a dozen languages
2:03:00 now that'll translate the founder of
2:03:02 that company said the the only thing
2:03:04 preventing them from doing that
2:03:07 translation in real time is compute
2:03:10 power they just need more gpus right
2:03:12 back to the Nvidia thing
2:03:15 um
2:03:16 so I think within a year we will see
2:03:19 technologies that can do real-time
2:03:21 translation and probably within two
2:03:23 years something like hey Jen where
2:03:25 you're seeing synthesized you know
2:03:27 re-sinking of lips
2:03:29 in any language
2:03:31 or you know whatever up to 60 120
2:03:35 languages
2:03:37 we're not that far from it
2:03:39 and and like what think about the just
2:03:42 the the [ __ ]
2:03:45 how profound that is
2:03:47 I mean I think about it you know for
2:03:50 communities with disabilities you know
2:03:53 blind and deaf and neurological
2:03:56 disorders and paralysis like there's all
2:03:58 sorts of accessibility here but there's
2:04:00 another kind of accessibility which is
2:04:02 barriers of language
2:04:05 imagine if you could just do business
2:04:08 anywhere
2:04:12 you talk to them
2:04:14 they hear you in their native language
2:04:18 but it sounds like you and you hear them
2:04:20 in your native language but it sounds
2:04:23 like them
2:04:24 the only thing left to do then is figure
2:04:26 out the cultural [ __ ]
2:04:28 you know try not to be an ugly American
2:04:31 [Laughter]
2:04:33 it's rough it's it's rough because you
2:04:36 know we are a number 37 in education but
2:04:41 look at the attitude of we are number
2:04:44 one
2:04:47 so
2:04:48 we I mean actually
2:04:51 you know the five year out version of AI
2:04:54 Emilio's wife
2:04:56 says says I'm doing good with the
2:04:58 Italian apparently with with pizza pie
2:05:03 um
2:05:04 the uh
2:05:05 the five year out version of the
2:05:07 translation tool will will do the
2:05:09 cultural translation as well so you can
2:05:12 be an obnoxious American and it will
2:05:14 appropriately make you deferential in
2:05:17 whatever language you're speaking
2:05:20 Sherry Banks is dating pie pie is the
2:05:23 best although it's going to be
2:05:24 interesting to see when uh when yield uh
2:05:27 uh Chachi BT starts getting chatty now
2:05:30 that Chad what are we gonna do what are
2:05:33 we gonna call pie now that chat GPT is
2:05:35 going to be its own chatty GPT
2:05:39 I tried to enter tried to introduce him
2:05:42 to my mom she's completely on board I
2:05:44 have listened to
2:05:47 oh listen to it that's really funny
2:05:51 um I want him to have an MC emcee Hammer
2:05:53 Time button stop demo time what's good
2:05:57 we can do that you know what I was
2:05:59 thinking I should get because I've got
2:06:01 I've got my iPad here
2:06:03 um I should get one of those sound
2:06:05 boards and just load it up with a bunch
2:06:07 of you know Gen X kids sounds
2:06:11 TV shows and
2:06:14 Mr T
2:06:16 I pity the fool
2:06:18 a pity the fool
2:06:20 that's amazing you can repurpose YouTube
2:06:22 content now in any language wow yeah
2:06:26 I know
2:06:29 it's the we're
2:06:32 in for a Time
2:06:36 we are in for a time can you remind me
2:06:39 how to use Chachi PT
2:06:42 with internet after they removed it yeah
2:06:45 John Z we can do that let's go do that
2:06:48 let's do a little demo a little demo
2:06:54 so go to your chat GPT
2:06:58 and first you gotta log in
2:07:00 I ain't logged in hey Buck yeah why
2:07:04 aren't you logged into the internet I
2:07:06 don't know how I don't think I have it
2:07:08 installed on my computer
2:07:09 oh Jimmy you're so silly
2:07:22 [Music]
2:07:27 don't watch my password you freaks
2:07:31 with my light
2:07:36 [Music]
2:07:39 [ __ ] hackers you know I can see
2:07:42 everything you're typing Kyle
2:07:44 [Music]
2:07:50 I normally wouldn't give a [ __ ] about
2:07:52 that but it was my master password for
2:07:54 all of my passwords
2:07:56 so that's good let's go ahead and
2:07:58 practice a little bit of Common Sense
2:08:01 today
2:08:07 oh my God the 17 Factor authentic
2:08:16 um
2:08:21 uh first thing we're gonna do what do
2:08:24 you want to do oh you want to know how
2:08:25 do I connect how do I look at [ __ ] on
2:08:27 the internet with chat GPT without
2:08:30 their stuff
2:08:32 so one thing I was doing so if you pay
2:08:36 for chat GPT plus and you can't see
2:08:39 plugins or Advanced Data analysis you
2:08:41 have to go into your settings and the
2:08:43 beta features and turn them on this is
2:08:45 where I think some of this new stuff
2:08:46 that's coming out is going to show up I
2:08:48 was just kind of hoping something would
2:08:49 show up there
2:08:50 so the way you
2:08:53 um
2:08:53 look at stuff on the internet with
2:08:56 chat GPT without it being hooked to the
2:08:59 internet as you use plugins so there's a
2:09:02 couple of them I'm going to turn off
2:09:03 social search
2:09:05 social search was actually a pretty cool
2:09:07 plug-in we discovered this
2:09:10 last night I think someone was asking me
2:09:13 about it where did it where is it
2:09:16 um
2:09:23 or whatever oh there it is social search
2:09:27 you could you could search across you
2:09:29 could search for like all the stuff from
2:09:31 a certain person or certain company
2:09:32 across their socials that was pretty
2:09:34 slick
2:09:36 um this one here is called browser up
2:09:39 and there's another one called Web pilot
2:09:42 that I like a lot
2:09:46 and so you turn on so you so you go find
2:09:49 you go to the plug-in store
2:09:55 and you search for like web
2:09:59 and then you go find like here's web
2:10:02 search AI
2:10:05 there's there's a bunch of them
2:10:08 there's web pilot that I have installed
2:10:14 um but you just use web pilot because
2:10:17 there's so many of these plugins that
2:10:20 are just just piles of crap that aren't
2:10:23 worth your time so web Pilot's pretty
2:10:25 good so you basically the the way
2:10:28 plugins work is you install them from
2:10:31 the plug-in store and then they're kind
2:10:32 of available in your this is my little
2:10:34 personal list and then in any given chat
2:10:37 session you can enable up to three of
2:10:40 them I tend to just enable one at a time
2:10:43 and then what I can do is let me run
2:10:46 over and grab some article let me go to
2:10:50 one useful thing
2:10:52 this is Ethan Malik's
2:10:55 newsletter which I think is really
2:10:57 really good this is a cool article
2:10:59 everyone is above average so this is
2:11:01 talking about
2:11:02 this idea of the um in Boston Consulting
2:11:07 Group they had
2:11:09 um
2:11:10 the Consultants use gpt4 and they saw
2:11:14 just dramatic increases in productivity
2:11:17 but the lower performers saw a 43
2:11:21 percent increase in productivity and
2:11:23 then the the top performers only saw 17
2:11:26 so this article is about leveling up the
2:11:29 workforce which is really cool so anyway
2:11:31 so I'm going to grab this URL
2:11:35 and then here I'll show you a cool thing
2:11:37 that I did uh well I think it's cool
2:11:41 um where did I put
2:11:43 there's chat GPT so I'm going to say
2:11:47 based on this article
2:11:53 oops I didn't give it a prompt so it's
2:11:56 going to tell me I didn't give it a
2:11:57 prompt but I'm gonna go
2:12:00 foreign
2:12:03 where I've created my own little prompt
2:12:06 board but because I have ADD it's not
2:12:08 very complete but
2:12:11 oh my God is this going to make me do
2:12:13 two-factor authentication I am going to
2:12:15 want to
2:12:17 smash something
2:12:20 just let me in
2:12:23 please please
2:12:26 yay you did it
2:12:29 thank you
2:12:30 all right so in here I've got a prompt
2:12:33 for a tweet thread
2:12:39 so I'm going to go over to chat GPT
2:12:44 and say stop generating I'm going to go
2:12:48 um
2:12:49 there's my tweet thread prompt and so
2:12:51 basically I'll read what it is here in a
2:12:53 second let me go grab the the URL
2:12:59 all right oh crap so so what I said was
2:13:02 create a 10 segment Twitter thread from
2:13:05 this article I pasted in the URL of the
2:13:07 article following this guidance write
2:13:10 the thread from a POV of an expert who
2:13:12 specializes in explaining technical
2:13:13 Concepts simply for a curious audience
2:13:16 keep the language simple clear and free
2:13:18 of hyperbole that's important because
2:13:21 chat GPT is really good at saying this
2:13:24 is the most important article in the
2:13:26 history of mankind and it's often
2:13:28 usually not do not use any hashtags
2:13:31 first tweet should clearly state that
2:13:34 State the topic of the article or paper
2:13:37 followed by a thread first and last
2:13:39 tweet should be in the URL or should
2:13:42 link to the URL the first line of the
2:13:44 Tweet body so anyway blah blah
2:13:47 and then it makes me a Twitter Thread
2:13:49 about that article
2:13:52 how cool is that and and I usually have
2:13:54 to rewrite the opening tweet and the
2:13:56 closing tweet because it just it doesn't
2:13:58 quite nail them the way I like to set
2:14:00 them up but
2:14:02 um but I can literally now just go copy
2:14:05 and paste this into a Twitter thread and
2:14:08 it's good
2:14:09 so skill leveling performance gaps AI
2:14:13 assistants writing skills Specialists
2:14:15 benefit remember when I talked about the
2:14:18 democratization of specialization
2:14:20 that's what this article is talking
2:14:21 about too cool
2:14:24 so anyway
2:14:25 you got my password thanks Mandy that's
2:14:28 awesome
2:14:30 so did you hear that um
2:14:33 on a on a MacBook
2:14:36 um this is crazy
2:14:38 on a MacBook
2:14:41 using audio using the microphone of your
2:14:44 MacBook Pro they trained a large
2:14:46 language model to be able to know
2:14:48 exactly what you're typing based on the
2:14:50 sound of your fingers hitting the
2:14:51 keyboard
2:14:56 that's there now someone did that now
2:14:59 now now
2:15:02 hacked black hats reflected in your
2:15:05 glasses you're all the jerks Yoda jerks
2:15:08 stop picking on me with my passwords
2:15:12 so one two three four five six seven all
2:15:14 right
2:15:16 wasn't it nice when you could have your
2:15:18 password be like password and like
2:15:20 hackers hadn't figured that [ __ ] out yet
2:15:24 that was nice
2:15:26 remember it was cool when you didn't
2:15:28 have any data
2:15:30 yeah he had like a floppy drive and that
2:15:32 was like all of your worldly data
2:15:34 possessions it was on your floppy Drive
2:15:36 you're like yeah look I got my great
2:15:38 American novel here oh [ __ ] I spilled
2:15:40 coffee in it do I have a backup of this
2:15:42 oh my God
2:15:45 [Laughter]
2:15:50 oh
2:15:52 now it's like one click what do you mean
2:15:54 they drained my crypto wallet I had a
2:15:56 hundred thousand dollars in there
2:15:58 [Laughter]
2:16:01 they can't do that it seemed legitimate
2:16:11 change your password
2:16:15 y'all are poo poo heads uh
2:16:21 I'm from Indonesia welcome I am from
2:16:24 Denver my name is Kyle I'm from Denver
2:16:27 Colorado welcome
2:16:29 to Fantasy Island boss the plane the
2:16:32 plane
2:16:35 um
2:16:36 oh my kind of place
2:16:40 [Music]
2:16:42 can you explain why I don't have code
2:16:44 analysis anymore it's gone it should now
2:16:48 be called
2:16:49 Advanced Data analysis Sherry Banks if
2:16:53 you're still here let me know if it's
2:16:54 still not there it should still be there
2:16:56 I just saw I just saw it for me
2:17:00 they changed the name of it
2:17:02 remember when we complained in here well
2:17:04 by we I mean I remember remember when I
2:17:07 complained about what a shitty name
2:17:10 um code interpreter was it's now called
2:17:13 Advanced Data analysis same thing
2:17:18 how does chat EPT clone wait
2:17:21 got it the room helped me oh good
2:17:22 awesome Sherry cool Palm Pilot
2:17:25 pass keys of the future yeah I think
2:17:28 some sort of thing have you all seen my
2:17:29 here you want to see something cool
2:17:30 there's a bunch of people in here
2:17:32 probably haven't seen this it's gonna be
2:17:34 cool you're gonna be so impressed you're
2:17:35 gonna be like I didn't know he was that
2:17:37 I knew he was cool but I didn't know he
2:17:38 was that cool that's so cool
2:17:41 that's super cool
2:17:43 that's really cool he's cool I don't
2:17:46 know if you knew this but he's cool so
2:17:48 it's very cool
2:17:49 it's very cool and so cool uh where is
2:17:53 that he's not that cool he can't find a
2:17:55 little thing he wants to show us oh
2:17:56 there it is oh
2:18:00 look at this look
2:18:02 there's all the all the uh
2:18:05 all the tinfoil hat conspiracy people
2:18:07 are gonna be like oh I didn't realize he
2:18:09 was that stupid
2:18:11 look I have this
2:18:15 um
2:18:18 this is a world ID which is Sam Altman's
2:18:21 new company and I was verified at orb
2:18:24 what does that mean
2:18:27 I had my Iris scanned by a machine in a
2:18:32 mall
2:18:34 in New York City and I did it on Tick
2:18:38 Tock live
2:18:41 and then I walked around New York City
2:18:43 and I walked down and looked at my old
2:18:44 offices of agency.com and did a little
2:18:47 tour of lower Manhattan but anyway
2:18:50 what this thing does is it it verifies
2:18:53 your human uniqueness compared to other
2:18:55 people in the database and then gives
2:18:57 you this nft that is an anonymous
2:19:01 um
2:19:03 proof of human ship proof of like so so
2:19:06 imagine if you built
2:19:08 a tick a Twitter like or Facebook like
2:19:11 social network but you could only
2:19:14 participate in it if you had one of
2:19:16 these it means that every person on that
2:19:18 network is verified human
2:19:21 right so there would be no Bots and you
2:19:23 could do this with I could use this
2:19:25 thing to verify that me as a human being
2:19:28 wrote this article and this article is
2:19:30 blockchain verified that it hasn't been
2:19:32 modified that shit's gonna get really
2:19:35 important really soon
2:19:37 yes imagine all of the ideas of human
2:19:40 Endeavors lost on floppy disk due to
2:19:43 environmental stuff and also they just
2:19:45 get tired you know magnetic media you
2:19:49 know the the phones with the mag safe on
2:19:51 the back those magnets are strong like
2:19:52 you toss a floppy disk toward one of
2:19:55 those let's be like
2:19:56 your date is gone it's all gone
2:20:00 which came first Hal with HAL 9000 or
2:20:03 goca with it's over nine thousand Goku
2:20:06 that's pretty funny
2:20:08 all right listen people it's getting
2:20:11 late in here let me jump to the bottom
2:20:12 and uh
2:20:15 let me get on out of here let me get on
2:20:18 out of here yeah you know yeah listen
2:20:21 about yeah you're gonna need you to go
2:20:24 on ahead and come on in on Saturday yeah
2:20:27 oh hey one other thing we're gonna need
2:20:29 to go ahead and come on in on Sunday too
2:20:32 yeah
2:20:35 um all right everyone listen crispy
2:20:39 see the bloodshot
2:20:41 they've been too much edgemakating
2:20:43 tonight as I've been doing too much
2:20:46 educating uh I can't believe there's so
2:20:48 many people in here thank you all for
2:20:49 hanging out on a Monday night
2:20:51 um you're making me how with laughter I
2:20:53 remember all of that good awesome
2:20:56 um I try to hit all the cultural
2:20:57 references as they pop into my ever holy
2:21:01 brain
2:21:06 um yeah I think I'm gonna have to get
2:21:07 myself one of those sound boards I think
2:21:09 I have one I think I I got one when I
2:21:12 was doing a podcast a couple of years
2:21:13 back
2:21:14 so I'll have to go dig up some good some
2:21:17 good sounds sounds from the 80s
2:21:20 wesn radio hard rock and hip hop
2:21:24 weather on the eights all right sent you
2:21:27 some questions on DM I will do my best
2:21:30 to answer them I orb funny super cool I
2:21:33 did that to skip the line at the airport
2:21:35 with clear for Xmas yep there you go
2:21:38 although the thing apparently with the
2:21:40 orb with Sam Altman's company they're
2:21:42 not keeping the biometric data because
2:21:44 once they've once they've verified that
2:21:46 your unique compared to the other people
2:21:49 in the database there's no there's no
2:21:51 value in them having it because your
2:21:53 blockchain verified so that was kind of
2:21:55 cool
2:21:56 I don't know if I trust that but I don't
2:21:58 really care at this point I've already
2:21:59 given up all my data to Facebook and
2:22:01 Google like decades ago like they know
2:22:04 [ __ ] everything so what am I what am
2:22:06 I I just gave you all my password you
2:22:09 have great hair thank you it's well it's
2:22:12 it's on there
2:22:17 so fun for the info love the guests too
2:22:19 yeah the guests were good tonight
2:22:21 um I'll bring up some more guests uh
2:22:23 next time uh Herod Herod was on last
2:22:26 night was really good I'll bring I'll
2:22:27 bring him up again
2:22:29 everyone present Turtles all right so
2:22:32 let's do a little Romper Room cabruno
2:22:34 good to see you tonight Clint of course
2:22:36 Dr J forever hooked been seeing you a
2:22:39 lot lately Share Bear later
2:22:41 Stevo thank you Tobias good night
2:22:43 Irregulars love it Bigfoot Electro been
2:22:46 seeing you as well
2:22:48 um user
2:22:51 404-199-63-10597 next time you come we
2:22:54 want you to come back work on the name
2:22:56 wolf from Jack that would see that would
2:22:59 be a good name that would be a good name
2:23:01 that would be a really good name all
2:23:03 right work on your name but nice I like
2:23:06 wolf from Jack so you got the you got
2:23:08 the copywriting in there you can figure
2:23:09 this thing out
2:23:11 um I can help with the hair I know you
2:23:14 can it's I I just need to fill in like
2:23:17 the uh the the you know these sort of I
2:23:19 don't know what's the size of that like
2:23:20 a silver dollar pancake
2:23:23 but I I know I suppose it makes me look
2:23:25 more intelligent look at the size of his
2:23:27 brain his head is massive
2:23:32 all right everyone
2:23:34 um really good seeing you peace out I
2:23:37 will see you tomorrow night and uh stay
2:23:39 curious keep learning this stuff
2:23:42 bye