Jan 20, 2024 Saturday Soapbox

Description

Chapters

Transcript

0:05 [Music]
0:22 [Music]
0:25 [Laughter]
0:26 [Music]
0:29 oh
0:31 [Music]
0:36 this
0:38 place
0:40 [Music]
0:43 my ga my thoughts in sweet
0:47 [Music]
0:51 Sil is the place where feelings on
0:58 dead from an over exposure to
1:03 violence this is the place I can slowly
1:07 face the only one I truly can
1:12 know these are tears from a long time
1:16 ago got these tears from a long time
1:21 ago I need to cry 30 years or
1:25 so these are tears from a long time
1:33 [Music]
1:38 go oh darling Oh Darling you say unto
1:46 me where have you been all my life
1:54 time I have been swimming the seven sad
1:59 Seas
2:01 poor women have TOS me their
2:05 lifelines I pull them into the waters
2:08 darker in i' have W them but I didn't
2:14 know these are tears from a long time
2:18 ago got this champ from a long time ago
2:23 I need to cry 30 years or
2:27 so these are tears from a long
2:31 [Music]
2:35 time
2:37 [Music]
2:47 go yeah happy Saturday
2:50 night Danielle be not afraid she made
2:52 that lovely image right there she's
2:54 given some lovely roses very very much
2:57 appreciated happy Saturday night
2:59 everybody
3:01 if if you're just realizing it is
3:03 Saturday night and you're like oh my God
3:05 I had a date well [ __ ] it you're here
3:10 now that was champ Shannon on the lead
3:13 vocals there
3:17 earlier we are
3:19 related little bit of nepotism in the AI
3:22 learning
3:24 lab not a lot of qualifications a lot of
3:29 nepotism
3:32 [Music]
3:40 [Applause]
3:40 [Music]
3:47 oh yeah did you finally tune I tuned
3:50 right before I got on I tuned I did I
3:54 hit I've got a little button right here
3:57 I so like to be able to tune is not that
4:00 hard I just don't do it that often and
4:03 occasionally I'm just like uh so yes
4:06 we're we are at least in uh some
4:08 semblance of
4:11 [Music]
4:29 tunage what is this channel I thought
4:31 this was about AI is this just like some
4:34 old guy singing singing very depressing
4:36 songs played played
4:44 [Music]
4:59 adequately
5:00 [Music]
5:01 yeah pretty much that's pretty much what
5:03 we do
5:05 here depressing songs adequately played
5:09 welcome to the air learning lab
5:10 everybody
5:11 um what are we going to do tonight I I
5:14 actually had an
5:16 idea you
5:19 Kyle so so if you're new here here's
5:21 what we do here um uh we we just hang
5:25 out we hang out we talk about AI we do
5:28 Jam sessions I heard you can make with
5:30 chbt you can make money with CBT it is
5:33 true it is true this is not the channel
5:36 for that I will not give you the
5:38 get-rich quick schemes but I will tell
5:40 you exactly how to make money with chat
5:42 GPT it's just you probably won't like
5:44 the answer but that's okay um what I do
5:47 try to do here is shoot straight and
5:49 tell the truth and be honest and then
5:51 also
5:53 be bullish as [ __ ] on
5:57 AI in fact I'm so bullish on it in one
6:00 of the corners I did a VD video series
6:02 called underhyped I I I made it about a
6:05 month month and a half ago uh and it's a
6:08 bunch of videos uh where I talk about
6:11 why I think AI is a big
6:13 deal how it works a lot of people don't
6:17 understand how it works they think it's
6:18 a large copying and pasting plagiarism
6:21 machine it is
6:22 not
6:24 um and a lot of people are are either
6:27 dismissive of AI or or they've demonized
6:31 it
6:32 as the biggest evil of all of the
6:35 world
6:37 um and it shouldn't be dismissed and
6:40 it's it's you know there are dangers
6:42 there but it's also a remarkably
6:44 empowering tool this community is
6:47 Testament to the fact that these tools
6:50 are just just dramatically empowering
6:54 really really really really
6:56 exciting Community that's forming around
6:59 around this channel in the AI Salon
7:01 which I'll talk
7:03 about I think Champy's probably got to
7:06 go out so um I may need to go I may need
7:09 to do a be right back um let me get my
7:12 mods up and running here on my
7:18 iPad if you did not participate in an
7:21 Murphy's GPT building session today it
7:24 was really cool there was like 35 people
7:26 there that hung out for 2 hours building
7:28 gpts really cool to see and be a part of
7:32 I had to leave early but you know what
7:33 are you going to do sometimes you just
7:35 got to do
7:36 [ __ ] I know champ you got to go peeee
7:39 all right so let me go let's let's do
7:43 this let me
7:48 get AI learning lab be right
7:51 back let's
7:55 see so here's here's here's my request
7:59 oh pleas
8:00 all right here here's my request I'm
8:02 going to go go let let champy you're a
8:05 busy man we get it exactly I got I got
8:07 listen I got places to go people to see
8:10 Amelio's wife you know how this is you
8:12 understand the
8:13 situation um I'm going to go let the
8:15 doggy do a little pee pee or whatever
8:17 the hell he's got to do um just hang out
8:20 here do me a favor um entertain
8:22 yourselves which I know you always do
8:24 but please share this Channel and and so
8:26 here's my request share this Channel
8:29 with either young people in your life
8:32 that you're like why are they not into
8:33 AI or people in your life that you know
8:36 are not into
8:39 AI that if you share with them an AI
8:43 Channel it'll kind of make them cranky
8:45 those are the people we want in here
8:46 let's see if we can get some people to
8:48 uh welcome to the salon. yeah there you
8:51 go um so just hang out share the channel
8:54 uh feel free to follow me I we'll do
8:56 whatever you do let me go let the doggy
8:58 out all right come on jff let's go
9:00 let's go give you some some
9:03 relief let's go get you
9:28 out
9:58 for
10:28 e
10:58 e
11:28 e
11:50 you
11:52 go in you
11:58 know
12:08 all
12:10 right we're
12:12 back we're back we brought
12:16 Champy's champy had a bowl of Crunchies
12:19 he was he was eyeing up so I think he
12:20 might be a little
12:28 snacky all
12:31 right let's see good day to
12:35 everybody Robert Rossy thank you so much
12:37 for the lightning
12:38 bolts a good
12:41 inspiration let's flip
12:44 over to our AI learning lab graphic we
12:48 got a good one from
12:50 Danielle we got four good ones from
12:52 Danielle got some other ones in there
12:54 we'll switch them up tonight but I like
12:56 this
12:57 one it's feeling very very
13:01 60s I like it it's solid it's Saturday
13:04 night start recording before he goes out
13:07 goes out the old credit card gets out
13:10 the old credit card yeah the L well yeah
13:13 no well yes so I learned my lesson
13:20 there so all
13:22 right so here's how this
13:26 works I will uh I'll do my damnedest to
13:30 make this entertaining and
13:33 educational but education in a way
13:36 that's like I gotta learn some not like
13:39 that like like I don't want to learn
13:41 anything do I have to take notes
13:44 no no this is we're we're
13:49 in we're in a really fun phase of
13:53 artificial intelligence you don't know
13:55 the 60s oh I know the
13:58 60s
13:59 that was I I I know the 60s
14:06 um we got
14:11 to all you have to do quite honestly for
14:14 the next 18 months if you
14:16 want massive uh opportunity in
14:21 AI is just be rabidly curious about it
14:24 and I don't even know
14:26 rabidly I think if you're just curious
14:28 about it if you just pay attention to it
14:31 and kind of learn how to do some stuff
14:32 and have it make your life a little
14:34 better and maybe inspire you to write a
14:36 kids book or or write a marketing plan
14:39 or maybe finish that short story you
14:42 started in
14:44 college
14:45 seriously if you just do that with it in
14:49 the next 18
14:51 months and and in in the smallest way
14:55 possible keep up with what's
14:57 happening just be just be aware of
14:59 what's happening and what's coming and
15:01 how things are
15:03 improving like the opportunities for all
15:06 of us are going to be staggering I've
15:08 been using chat GPT to create non
15:11 non-dairy versions of baked goods oh
15:13 that's really cool side hustle side
15:15 hustle Mimi maybe I'll make a cookbook
15:17 you should absolutely make a
15:19 cookbook and and it you know listen here
15:23 here's a whole another thing about the
15:25 there there's
15:26 a there are very good reasons and places
15:31 where you might want to declare that AI
15:35 assisted in the making of this um I
15:38 don't think a cookbook is one of them
15:40 like unless it's part of the story right
15:42 if it's like hey may maybe the forward
15:45 to the book right but but it's like but
15:48 it's not the AI this cookbook like
15:51 you're the one that that had the impetus
15:53 to create those things you're the one
15:55 that put it together AI is helping you
15:58 come up with those ideas great you're
16:00 the one cooking them testing them you're
16:02 the one that says I'm going to put this
16:03 in a cookbook
16:05 so I don't I don't
16:09 think we don't need to declare that
16:11 something was made with AI
16:14 unless we're doing something like I've
16:17 created a news story where I created
16:20 fake video of someone you know to back
16:22 up my news story that should be declared
16:24 and that's not going to be declared
16:26 right so I think there are places where
16:28 it makes good sense to label it but but
16:31 I don't personally think any of us need
16:34 to [ __ ] apologize for using a
16:36 tool there is not an expectation in
16:40 society that I label when I used
16:43 Microsoft Word to write a blog post this
16:48 blog post composed with Microsoft Word
16:51 the image retouched with Photoshop like
16:54 it's [ __ ] ridiculous on its face and
16:57 I listen I understand why people want it
17:00 oh but we need the humans well do
17:03 we if she makes a cookbook full of good
17:07 [ __ ] and it's good tasty stuff that
17:10 serves an audience with special dietary
17:12 needs do they give a [ __ ] what tool she
17:15 used to make it
17:17 no they might they're probably more
17:20 interested in knowing what pans do you
17:22 use so the muffins don't
17:27 stick oh oh man you do have to declare
17:30 on Amazon publishing and YouTube soon
17:33 yeah which I think is absolutely [ __ ]
17:37 ridiculous I think it's absolutely
17:39 [ __ ]
17:41 ridiculous at what point is it AI
17:46 written because AI fixes your
17:49 spelling does the fact that you used the
17:51 spell checker means it was AI
17:53 written AI does sentence
17:57 completion when you're writing in Google
17:59 Docs and it like finishes a sentence and
18:01 you hit the tab key that's
18:05 AI so at which is it is it 38% of the
18:10 words written by AI is it 52% of the
18:12 words written by
18:14 AI I understand what they're trying to
18:16 prevent they're trying to prevent people
18:18 making 100,000 books and just flooding
18:20 the market with a bunch of [ __ ] but
18:23 that's a different
18:25 problem that's a completely different
18:27 problem
18:29 if someone puts out a book and it's
18:32 good like say the book that I'm working
18:34 on with Cindy [ __ ] right now where part
18:38 of our exercise
18:40 was let's see how fast we can publish a
18:43 book an anthology with a bunch of
18:45 authors who all use
18:49 AI to assist in writing their
18:57 chapters
18:59 who gives a [ __ ] what tool we
19:02 used there's so much back and forth I
19:05 have no idea how much is me and how much
19:06 is AI exactly Papa
19:09 JJ when you're using a tool like AI it's
19:12 it's like you've got a collaborative
19:16 partner
19:19 right AI is going to write the outline
19:21 and then maybe AI is going to write the
19:23 first three paragraphs and then you read
19:25 the first three paragraphs and you're
19:26 like oh my God that's [ __ ] horrible
19:28 so you're like oh [ __ ] I guess I got to
19:30 write the first paragraph and you write
19:31 the first paragraph and you copy that
19:33 and you paste it into chat GPT and said
19:35 this is more like what I had mind for
19:37 the opening paragraph could you suck
19:38 less and then it writes two more
19:40 paragraphs and you're like oh good
19:44 God and then you do that for two
19:54 hours
19:56 anyway man I'm start I'm starting out on
19:58 on fire tonight get me off the Soap Box
20:01 people get me off the Soap Box do it
20:03 right
20:04 now Ms has been correcting my spelling
20:07 for years and I've never given them
20:08 credit exactly Amelio's wife see and
20:10 this is why you're a bad person you have
20:13 not credited Microsoft for the grammar
20:15 check the fact that you can write
20:17 sentences in any semblance of
20:20 coherence we know it's not
20:23 you it's absolutely
20:26 Microsoft laugh tough t for you're
20:29 stupid it's just all of this all of this
20:31 stuff is nonsense you know it's well I
20:33 mean here here's here's the funny thing
20:35 it's like
20:41 it's when digital photography came
20:45 out photographers are like we should
20:47 label digital photography because they
20:49 aren't real
20:52 photographs they're just pixels they're
20:55 not real
20:57 photographs every every new technology
20:59 that's come along this this has happened
21:01 so I don't know why I'm I'm so
21:03 apoplectic about it I you know you know
21:05 I'm a bit apoplectic about it is because
21:10 um it's it's funny in in an's GPT um
21:15 session today in the GPT building
21:17 session that she did today she asked
21:19 like what are what are our hopes and
21:20 dreams and fears and and and one of my
21:24 hopes for
21:26 2024 is that the irrational fear of AI
21:29 would
21:34 subside that would be
21:36 nice so I think all of this we go to we
21:39 got to label an
21:40 AI is is from an irrational fear because
21:44 people don't understand the tool they
21:45 don't understand how it's being
21:47 used now I'm fully I fully
21:51 support we shouldn't just dump unedited
21:56 [ __ ] by the bucket loads on to the
21:58 internet and I know it's a pipe dream to
22:00 think that's not going to happen that's
22:02 happening right now from these
22:05 [ __ ] these guys are dumping that
22:08 [ __ ] up one side and down the other of
22:11 Kindle
22:12 publishing I'm against drek I'm against
22:16 just [ __ ] horrible mindless shitty
22:21 stuff but we've had that we had that
22:23 long before ai ai just makes it faster
22:27 to do that
22:30 um you were telling us about an idea you
22:35 had do you remember what the topic was I
22:38 don't remember what idea I
22:40 had champy peeing threw me didn't
22:45 it um all right so so let's get started
22:49 I uh tonight's
22:52 live about tonight's live oh yeah that's
22:55 what yeah that's what I'm going to get
22:56 to okay cool perfect I know what it
23:00 was so so what I'm going to do is I I
23:02 want to start out I want I want to I
23:05 want to share with you
23:07 something um I want to talk about the AI
23:10 salon and and if you really want to
23:13 pronounce it correctly it's the AI
23:18 F it's not the AI
23:22 Salon what are we getting Manny petties
23:25 no we're exchanging ideas
23:29 the um the salon. a go there it's a link
23:34 tree and you'll see there's a merch
23:36 store there and there's some there's
23:38 some links to the uh GPT for good uh
23:41 project that we did a few weeks back but
23:43 the first link is to the AI Salon
23:45 community and and it's a link to our
23:47 it's we hosted on Mighty networks but
23:49 it's a community it doesn't cost
23:51 anything let me get that out of the way
23:52 up
23:56 front Al he's just here here to try to
23:58 get us to subscribe to his little
24:00 Community well isn't that just clever
24:02 well well well well well well well Mr
24:05 Shannon I didn't realize we were such a
24:07 capitalist Pig now did we no it doesn't
24:09 cost you anything it's free this is a
24:11 supportive Community it actually is it's
24:13 an amazing community and so um hang on I
24:17 got to find my dim
24:19 button um I for I I I I cut out the
24:24 microphone button but I didn't cut out
24:26 the the brightness brightness button
24:28 which I also need but whatever we'll get
24:29 to that um so when you get to the AI
24:32 Salon first place I want you to go is to
24:34 the welcome to the salon section and
24:37 learn about the
24:38 salon a community of extraordinary
24:41 adventurers exploring the AI unknown
24:43 that's us a rag tag group of Misfits ner
24:47 do Wells and
24:49 miscreants ner do well how often do well
24:52 n it's a Gary Gman
24:55 joke um and
24:59 and check out our values so so the
25:02 values here are are really important to
25:04 me really important to the community
25:06 this is kind of who this community is
25:08 and so as we grow which I want us to
25:10 grow because I want as many people as
25:12 possible being on this journey and
25:14 trying to figure this [ __ ] out in a in a
25:17 in a in a powerful
25:19 way and so these values are super
25:21 important this is who the group already
25:23 is not who we aspire to be this is this
25:25 is the stuff we want to retain as this
25:27 group grows so first one is curiosity we
25:29 want people in here that are
25:31 curious like you can you can be smarmy
25:34 but don't be cynical right be
25:37 curious you can be
25:39 skeptical but don't do it blindly don't
25:42 just be like dismissive or or demonize
25:46 AI just be curious about what is it how
25:48 does it work what's it good at what's it
25:51 not good at why is it not good at that
25:53 is it ever going to be good at
25:55 that why can't it write something with
25:58 without sounding like like a junior
26:02 high overachiever trying to impress his
26:08 teacher let's figure that out how do we
26:10 get it to not do
26:12 that next value is
26:14 generosity as you're learning things hey
26:17 look I figured out how to get chat GPT
26:19 not to talk like that here's how I did
26:21 it share what you're
26:24 learning that this is this is the value
26:27 that I think I most excited about this
26:29 group that that what's happening
26:30 increasingly in this group and you'll
26:32 even see I'll show you in Show and Tell
26:34 while I'm doing these lives a lot of
26:36 what's happening is people are like
26:37 doing a jam session they're sharing
26:39 ideas and they're sharing gpts they're
26:40 like oh how'd you do that and they're
26:42 having side conversations and they're
26:44 starting clubs and they're they're
26:46 joining
26:48 guilds why because the other people in
26:51 here aren't
26:54 stingy there there's sure we've got
26:57 lurkers any community's got lurkers but
26:59 but the Theo of this community is to be
27:04 generous incredibly engaged people and
27:07 so so that's an important one
27:10 exploration figure this stuff out
27:12 explore what are the new tools is there
27:13 something better than the thing we've
27:15 been talking about collaboration do it
27:17 with other
27:18 people get to know people one of the
27:21 things we encourage in the community is
27:24 use your real name unlike Discord which
27:27 is mostly and things like that we
27:29 encourage people to use their real names
27:30 here why be because we want people to be
27:35 able to connect with one another and
27:37 collaborate as
27:39 humans inclusion is one of the values
27:42 people are coming from all walks of life
27:44 all experience levels all different
27:46 backgrounds professionally personally
27:48 culturally
27:52 globally we got so many people from all
27:54 over it's just it's it's amazing and
27:56 then the final value that that you know
28:00 is is the one ultimately is that is is
28:03 the anchor of this community is
28:07 empathy you know I was I was bitching
28:10 for 10 minutes earlier 15
28:14 minutes about all the fear about
28:20 AI but that's the world we live in
28:22 people are afraid of this stuff right
28:23 now they're angry about
28:26 it we should honor that
28:28 and recognize that and go yeah I get
28:30 that it's scary it's it is this is
28:34 profoundly powerful technology that's
28:36 going to change the way we work and it's
28:38 going to change what you're capable of
28:40 doing as a human
28:41 being um it's okay to be
28:45 scared but what would also be awesome is
28:47 if we you were also curious and got on
28:50 the other side of the fear so you
28:52 actually try this
28:54 stuff oh I hadn't thought about it like
28:56 that I oh I'll tell you a cool story
28:58 here's a cool here's a cool this cool um
29:02 here let me can I zoom in on that
29:06 yeah so zoom in on the word
29:09 empathy
29:11 so so I had a um I had to get a dumpster
29:15 today cuz I know how to
29:17 live we we've got a just our garage is
29:21 is a [ __ ] fire hazard and we just get
29:24 we got to get rid of some [ __ ] right and
29:30 so because I've got add and I don't like
29:32 to plan stuff I wanted a dumpster
29:35 delivered today most of the dumpster
29:37 places are closed I don't know if you
29:38 know this but if you want to order
29:39 dumpsters it actually pays to plan
29:42 ahead that was not for me I didn't want
29:44 to do that so I just started calling
29:47 numbers Google told me if they were
29:48 closed or open I just found the ones
29:49 that were open and just started calling
29:51 them like can you deliver a dumpster
29:52 today no can you deliver a dumpster
29:54 today no soon as the I can have it is
29:57 next Wednesday
29:58 day so I call this one dumpster thing
30:02 and and this this very sweet woman picks
30:05 up and she's got like her grandkids in
30:07 the background just screaming going nuts
30:09 wanting to play and she's talking to me
30:12 and at some point she mentioned
30:13 something about doing something on Tik
30:15 Tok and I said oh I'm on Tik Tok I have
30:18 a Tik Tok Channel she goes she goes well
30:22 what's your you know what do you what do
30:24 you do and I said I said well I I I
30:28 teach people about Ai and she goes I
30:31 hate AI it's the first thing she said I
30:35 hate
30:36 AI but she but she said it she was super
30:39 sweet she was like a grandmother there
30:41 with her kid right and it was just like
30:44 it was how she had defined AI for
30:46 herself is that AI is evil and I hate Ai
30:50 ai's and I said I said oh you should
30:53 come to my channel cuz I think if you
30:55 actually used AI you wouldn't hate it
30:59 I'm just I'm always doing this this
31:02 stupid
31:03 [ __ ] and there was like a long silence
31:07 and she goes she goes you know Kyle I
31:10 hadn't gotten her name yet her name was
31:12 Carol Carol she goes you know Kyle she
31:15 goes I'm a bit of a
31:19 psychic and she goes she goes she goes
31:24 we make decisions in life and we and we
31:26 decide about things in life and and and
31:28 and and she
31:30 goes and we can we can undecide
31:34 things and she goes you know what I'm
31:36 going to undecide right now that I hate
31:39 Ai and I'm going to be open to it and I
31:42 said awesome Carol and and by the end
31:45 we're like best friends like like we and
31:48 she's going to and and she reached out
31:50 to her husband who delivers the
31:51 dumpsters and she said hey I got this
31:54 guy on I I met I talked to this guy you
31:56 got to go deliver a can for for him but
31:58 um but but we're going to get Tik Tock
32:02 and and we're going to watch we're going
32:03 to learn about a he's going to teach you
32:05 about Ai and the guy goes well Tik tok's
32:07 evil like they they download everything
32:09 from your phone and send it to China so
32:11 she sent me a text and said should I
32:13 download Tik Tok I said you can download
32:15 Tik Tok I said you can also just watch
32:16 it on the web if you don't want to
32:18 download Tik Tok she goes okay I'm I'm
32:21 gonna I'm I'm not going to hate Ai and
32:22 I'm going to be okay with Tik Tok we're
32:24 going to do
32:26 this and like that's like like get that
32:31 people are in a weird place with this
32:34 stuff
32:37 and I have a feeling Carol's going to
32:40 love it cuz she was playing with her her
32:43 grandkid I said I said Carol first thing
32:45 you should do go to chat.
32:47 open.com and make your grandkid like a a
32:51 kids
32:52 book have fun with it so we'll see if
32:55 she does it champy wants to go go visit
33:00 people you want to go visit you want to
33:04 go visit the
33:06 boys
33:07 boys hey
33:16 baby so anyway that was kind of
33:21 cool now is Carol G to love AI I don't
33:24 know she may end up hating it but what
33:28 she won't do is she won't hate it in
33:31 ignorance right she'll go play with it
33:34 she'll go figure out what it is maybe
33:36 she loves it maybe it can help them work
33:40 on their marketing for their
33:43 business who's the biggest winner if we
33:45 keep ignoring AI who's the biggest
33:48 winner if we keep ignoring
33:52 AI anyone who doesn't ignore it I I mean
33:56 seriously
33:58 the
33:59 the and this goes for the country right
34:01 like there's there's you know some of
34:03 the haters are like we should ban it
34:05 right like the the rest of the world
34:07 ain't Banning AI like this isn't slowing
34:10 down this will continue to accelerate
34:13 when when you have a
34:15 tool that can invent 2.2 million new
34:20 materials unknown to mankind 380,000 of
34:24 which are stable
34:25 crystals that's a deep mine just did
34:28 like 3 weeks ago those are the guys that
34:30 did 400,000 protein folding predictions
34:34 that apparently are coming true um they
34:36 also just solve geometry at at a high
34:40 school Advanced High School level um
34:43 they've got a tool that does that so
34:48 so anyone okay so so here's going to
34:52 wait so who's going to Carol are you
34:54 here yeah actually Carol I don't know I
34:56 don't know if you're in here if you're
34:57 in here I mean Carol's never had Tik Tok
35:00 so she probably doesn't know how to
35:01 comment even if she is in here but
35:02 hopefully you're in here Carol it was
35:04 really good talking to you today she was
35:05 super sweet she was just awesome she was
35:07 super
35:08 nice she was you know and she's like
35:11 talking to her husband about I got this
35:13 guy we're going to be learning AI on Tik
35:15 Tok I'm like far
35:18 [Laughter]
35:21 out I I think I think
35:24 who who benefits
35:28 is anyone who doesn't ignore AI I think
35:31 people that ignore AI are in for a rude
35:34 a Awakening and they're in for a roote
35:37 Awakening faster than they
35:39 than they think is
35:43 reasonable um if you've been in this
35:46 channel for a while we've got we've got
35:47 a lot of people that are in here on our
35:49 on our that come in here nightly I do
35:52 these things seven nights a
35:54 week because I know how to good make
35:56 good life choices
35:58 I do these things seven nights a week
36:00 and even in the time that I've been
36:02 doing these lives I think I I think I
36:04 did my first live back in a the end of
36:06 April last
36:09 year and the amount of change that's
36:13 happened the the amount of what's
36:16 possible from last April until now is
36:20 just like like I I I've been talking
36:23 about this for the past week or so is
36:24 that I I am
36:29 I'm a little
36:31 flumix good word right I'm a little
36:34 flumed because
36:41 um this the stuff is moving so fast that
36:45 I that I'm starting to have a reticence
36:47 about learning new stuff because I know
36:50 that the stuff I'm going to about to
36:51 learn is going to be obsolete in 3
36:54 months and so I'm like do I dig deeper
36:56 on anything anything maybe I don't may
36:59 maybe I'll just keep doing little
37:01 prompts in chat
37:03 GPT and I know that's not the right move
37:06 but that's kind of what's going on with
37:07 me emotionally because so much is
37:09 changing so fast that change is
37:13 accelerating there's a meme going around
37:15 which I've totally adopted which is 2023
37:19 the last normal year and as crazy as
37:22 2023 was 2024 is going to be [ __ ]
37:25 batshit crazy it's going to be wild
37:28 just what these tools become capable of
37:30 in 2024 they're going to start reasoning
37:33 and they're going to start taking
37:34 actions on our behalf and they're going
37:36 to get way better so all the bitching
37:39 you hear about it can't spell and people
37:41 have six fingers
37:44 and most AI generated images don't look
37:48 like this anymore in the
37:50 hands that was a phase and that phase is
37:54 very quickly just
37:55 dissipating so all of the little
37:58 imperfections that right now we point to
38:00 and go that's why I don't use
38:02 it that little me
38:05 me those are going to all just over 2024
38:08 they're all just going to
38:09 dissipate and then you start to think
38:11 well oh that's interesting so if I had a
38:14 tool that could actually write as good
38:16 as I write all the
38:20 time and when I tell it to just write
38:22 something I read it and instead of going
38:24 oh my God that's embarrassingly bad I
38:27 read it and I go huh that's kind of what
38:30 I'd
38:32 write we're going to start experiencing
38:34 that so
38:36 so and that's likely going to happen in
38:40 2024 so there are people right now in
38:43 major corporations Fortune 500 companies
38:46 that I guarantee you are saying a couple
38:48 of things oh it will deal with that it's
38:50 a technical I heard there's security
38:52 issues it will deal with
38:54 that they're also likely going oh we got
38:57 some H we got 3 to 5 years it's it's you
39:00 know what I hear is it's not it's not
39:01 all that good yet so we'll wait 3 to 5
39:05 years well what's happening
39:08 is right now there are 5 10 20 50 person
39:16 startups that are all in on
39:19 AI and as these tools get more capable
39:22 that 50 person startup is going to be
39:25 capable of out executing
39:28 a 500 or a thousand person established
39:34 company and it's going to come
39:36 fast and so the the the CEO that's like
39:40 oh we got years it's not perfect blah
39:42 blah blah all of a
39:44 sudden next fall is going to go wait who
39:47 are these guys who what what do you mean
39:50 we just lost to that punky up
39:54 start
39:55 well figure out how they're doing what
39:58 they're doing they can't do how they
40:01 can't price it like that they can't
40:04 deliver what what do you mean they
40:06 delivered it
40:07 already for for for that how do they
40:11 that's not
40:15 possible so so the people that that are
40:18 on the
40:19 sidelines I think are going to be
40:23 punished because of just how quickly the
40:26 other boats it's like it's like we're
40:28 all in little rowboats right now
40:30 actually this is not a bad
40:33 metaphor it's it's this not a bad
40:35 metaphor at all we're all in little Robb
40:38 boats right now right and then off in
40:40 the distance we see like we see like
40:43 waves we can't we don't know what they
40:45 are but we're like yeah oh we're
40:47 comfortable in our our little rowo
40:53 here I wait for a couple of years and
40:56 then we see there's four or five things
40:59 in the distance and we see the waves and
41:01 we see them they're getting a little
41:02 bigger and they're getting a little
41:03 bigger and then it's not four or five
41:04 but it's more like 40 or 50 and then
41:06 it's more like 400 or 500 and what they
41:09 are is they're Jet Boats you know like
41:13 those Miami ocean jet boats we're like
41:15 you our
41:16 little and these jet boats are coming at
41:19 us and the Jet Boats are companies and
41:21 people that are AI educated as these AI
41:24 tools get better these boats are just
41:27 going to blow by us and we're going to
41:30 the waves are going to be shaking our
41:32 boat and our ores are going to one of
41:33 our ores is going to fly off we're like
41:35 what the hell just
41:38 happened and then the CEO is going to go
41:40 like well catch those guys row
41:43 [Laughter]
41:45 faster uh sir they're gone what that's
41:49 not possible I sir I don't even know
41:52 which way is North
41:54 anymore which companies do you imag of
41:57 the most vulnerable um that's a good one
42:05 um consultancies I think are are very at
42:09 risk agencies I think are very at
42:17 risk I know those two words worlds
42:20 really well see I don't the thing is I I
42:24 don't think that um I don't think any
42:27 Industries are
42:30 immune um I think Industries where
42:34 people's lives are on the
42:38 line um healthc care Airlines you know
42:43 some a lot of the transportation
42:46 stuff probably some infrastructure
42:52 stuff yeah yeah probably some
42:55 infrastructure stuff just because of how
42:57 long it takes to do I think those
43:00 Industries will
43:03 will evolve
43:06 slower but still
43:09 relatively like incredibly
43:11 fast because when okay so so so here's
43:15 an so here's an
43:18 example
43:20 um if you take Pharma and
43:24 um and and the healthcare indust as it
43:27 is right
43:29 now right now if if there's
43:34 a if there's something that threatens
43:36 their business model right if they make
43:39 a lot of their money treating diseases
43:41 rather rather than curing
43:43 diseases right now the cures for
43:47 complicated
43:49 diseases happen occasionally once a
43:52 decade once every 5 years and if it's
43:55 truly a threat to to the business model
43:57 well maybe they buy that patent and they
43:59 just keep researching it and they'll
44:00 research it indefinitely so it doesn't
44:02 have to see the light of day that's sort
44:04 of the cynical version of me just
44:07 looking at the economics of that
44:10 industry well what happens what happens
44:15 in a year
44:17 where that disease that they are not
44:21 super excited to have cured if there are
44:24 10 different cures for that disease
44:26 coming from multiple countries multiple
44:30 people multiple places and it makes
44:32 enough noise that they have to deal with
44:36 it what do they
44:38 do well we're going to keep treating it
44:41 well that treatment's really expensive
44:44 and I can cure it over here well yes but
44:47 you shouldn't that hasn't gone through
44:49 FDA approval and then so there's going
44:52 to be weird pressures there's going to
44:54 be weird waves that
44:58 cross
44:59 where every single kind of business is
45:03 going to be confronted with that kind of
45:04 disruption well that's not how we do
45:07 things around
45:08 here well when we do Consulting we take
45:10 the brightest Minds from Yale and
45:13 Harvard and this and that and we
45:14 research anything to the what what do
45:17 you mean you have a a robot that did all
45:18 the research what what what do you mean
45:20 the research is
45:22 validated what do you mean you've got
45:24 predictive models in 16 different
45:27 scenarios and a dynamic system that's
45:29 going to measure the performance of
45:30 those scenarios in real
45:34 time who well how did you build that oh
45:37 this little small company out of Boston
45:39 built that for us oh who is this company
45:42 is it Bane is it
45:44 McKenzie is it
45:46 deoe no it's um I don't know this dude
45:51 Fred and
45:53 his he's got some he's got some guys he
45:56 went to to school with and they they
45:57 just built a system for us over the
46:01 weekend like like that kind of shit's
46:04 going to
46:05 happen employers always tell us to
46:07 embrace change and be adaptable oh
46:09 that's the biggest croca [ __ ] they they
46:11 always say that it's their turn to
46:13 actually do that yeah everybody wants
46:16 Innovation right Innovation is one of
46:18 those it's one of my pet peeve
46:20 professional
46:21 words where every every CEO every seite
46:27 executive every director of a board is
46:31 like we're we're Innovative we Embrace
46:34 Innovation Embrace Innovation and change
46:36 change management is
46:38 fantastic unless their business model is
46:40 threatened and then they're like fire
46:42 that person came up with that
46:48 idea yeah it's going to be wild so
46:50 anyway back to the AI salon and the
46:54 value of empathy why I have empathy is
47:02 because the more you learn about this AI
47:05 stuff the more you internalize what it's
47:07 actually doing and how much better it's
47:09 going to get and how much how quickly
47:11 it's going to get
47:13 better I have deep empathy
47:17 for everyone in those robots it's why I
47:20 do this
47:22 channel I don't want anyone I would love
47:25 it for no one to be in rowboats when
47:28 those Jet Boats fly by
47:31 them and I know because human beings are
47:35 human beings that there are going to be
47:37 a lot of people in
47:40 rowboats that are just sitting in the
47:42 middle of the ocean bobbing going what
47:43 the [ __ ] do I do
47:46 now and that actually makes me kind of
47:48 sad that's what that's one of the things
47:49 that motivates me to do
47:55 this and and quite
48:00 frankly I think even those of us that
48:05 are on the surfboard right so so it's
48:08 you know here's the metaphor right
48:09 there's a tsunami coming and you can be
48:12 in one of two
48:15 places so so one of the places people
48:18 are right now which this is this is
48:21 something that I think we can fix one of
48:23 the places people are right now is
48:24 they're going tsunamis are
48:27 bad okay I agree right AI is bad the
48:32 robots are going to kill us that would
48:33 be bad absolutely
48:35 agree
48:37 yes you notice the water's going out
48:40 right you notice you notice the low ties
48:42 lower than it's normal normal do you
48:44 notice that oh yeah that's good we can
48:46 go look at the the crabs okay yeah so
48:49 you you you can be in one of two places
48:53 if let's say you're living in Florida
48:55 and there's a tsunami coming you can be
48:57 in one of two places a comfy beach
49:01 hut or on a
49:04 surfboard what this Channel about is
49:06 like buckle up buttercup here's your
49:10 surfboard here's your goggles let's
49:13 start
49:15 paddling
49:19 right so we're at least going to be
49:21 we're at least going to know what this
49:23 thing is but it's a [ __ ]
49:27 tsunami so even if we're on a
49:31 surfboard we may not have the skills to
49:33 keep up with this thing we may not be
49:35 able to ride it the whole way
49:39 in but I I I I sure [ __ ] would rather be
49:42 on the surfboard than in the cozy little
49:44 beach
49:47 hut and so you know so even if you're in
49:51 the game and understanding it I think
49:52 this stuff's going to move so fast that
49:54 we're like it's it's going to literally
49:56 be where's that image there's an image
49:58 that I think did Joker make it I don't
50:01 know who made
50:03 it
50:06 that that's what it's going to feel like
50:09 even if we're in the
50:11 game you
50:14 know and it's like you know the jet
50:17 boats are sort of flying over these wave
50:19 Peaks and we're here going I made a GPT
50:22 it's good right is it is anyone using my
50:25 GPT h
50:30 help oh wife supervises at a large
50:33 Health Care System she was notified that
50:35 co-pilot was added to her software so
50:37 Mike perfect
50:40 example Microsoft added co-pilot to
50:44 Microsoft Word big healthc care
50:45 companies are now going to start
50:47 incorporating that into their business
50:49 what does that mean well if you haven't
50:51 been playing with Chad
50:53 gppt and you're co-workers were they're
50:57 going to know what that means and when
50:59 it shows up in their Microsoft Word
51:01 they're going to start going
51:04 crazy mods please pin Kyle does Ilia
51:07 still work at open AI That's that's not
51:10 super clear uh aliia of Israel
51:14 um Sam mman was asked about Ilia on um
51:19 this week at Davos and his response was
51:23 [ __ ] weird his response was I'm not
51:27 sure if he still works there it's an 800
51:30 person
51:32 company and Ilia was the one that helped
51:36 lead the outing of Sam Alman and his
51:39 response was I don't know if he still
51:41 works here but I love
51:44 him so I don't know I I I don't I I I
51:47 honestly don't know what's going on with
51:48 Ilia we haven't heard from
51:50 him and the fact that Sam Alman is like
51:53 I don't know if he works at the company
51:55 or maybe 500 people I don't they don't
51:57 have a ton of
51:59 people you would at least
52:02 know one of the key employees that
52:04 helped oust you you would likely know
52:06 their employment
52:09 status unless IL is in some weird sort
52:12 of you know Buddhist Retreat for three
52:16 months to get his head together and they
52:17 don't want to talk about like I it's
52:19 just it's absolutely
52:22 bizarre it's just absolutely bizarre
52:26 anyway so so so this is what's coming so
52:29 okay sh Siri stop um so now is that
52:35 terrifying yeah well it's I mean there's
52:37 a part of it that's terrifying there's a
52:39 part of it that's
52:40 exhilarating there's a part of it for me
52:43 that's
52:45 like I don't think people understand how
52:49 lucky we are to live at a
52:51 time where we get to be at the ground
52:54 floor at the beginning of a thing that
52:57 is going to fundamentally alter
53:01 humanity and if you haven't used these
53:03 tools that's going to sound like a
53:06 [ __ ] weird ass
53:09 statement even if you do use these tools
53:12 you might not feel that way but I feel
53:15 that way I when I wrote this was last
53:20 December right after chat GPT came out I
53:22 wrote in 90 minutes I wrote a fully
53:26 functional python application that took
53:28 a few inputs from a user and generated
53:31 five pieces of social media content in
53:33 about 30
53:35 seconds I've never written a line of
53:37 python in my life I did that in 90
53:39 minutes and that was a year ago that was
53:41 when these tools were really shitty
53:43 they're better
53:49 now that's not the same world we lived
53:54 in in October of 2022 it's a different
53:58 world it's a different
54:01 world just no one knows it yet very few
54:04 people know it
54:08 yet
54:10 so this
54:15 group why did I start this
54:17 group because having been through this
54:20 with the worldwide web in the mid 90s
54:22 because I'm an old
54:24 [ __ ]
54:26 what I know is that the
54:31 the the only thing that we can all be
54:34 sure of is that no one knows what the
54:36 [ __ ] is going on no one there is no
54:38 degree for this there is no Workshop
54:41 that can teach you how to deal with this
54:43 there is
54:45 no someone knows more than I do someone
54:48 may know more than you do but I
54:50 guarantee you what they feel like is
54:52 someone knows more than I do everyone
54:54 right now is struggling
55:00 thinking that that's
55:01 them holy [ __ ] H how do you steer this
55:06 thing do I kick oh God why did I bring a
55:10 llama what am I
55:12 doing so this
55:16 group is a group of AI adventurers that
55:20 rather than waiting for the tsunami to
55:22 come were saying [ __ ] it let's go on the
55:24 adventure look at the picture here's the
55:27 picture we put together like this is the
55:29 adventure it's not one person on an
55:32 adventure like the promised land is way
55:34 out there what is out there we don't
55:36 know like we honest to God don't know
55:39 all we know is that this looks like a
55:40 really scary Journey we know we can't go
55:43 down the river of lava so we got to jump
55:45 around all these things on the side and
55:47 we better do it with other people
55:50 because one of us can't do everything
55:54 right we need the strong gu and we need
55:56 the smart girl and we need the ninja and
55:58 we need the wise man and we need the
56:00 magician and we need the alien and we
56:02 need the this and we need need that
56:04 because to get to the to get to out
56:09 there we've all got
56:11 skills and so we're choosing to be on
56:14 this adventure together and that's what
56:16 the AI salon's about so was a very
56:20 long-winded thing to
56:23 say um you should join the AI
56:29 salon and then what you should do if you
56:31 dig those values of curiosity and
56:33 generosity and exploration and
56:36 collaboration and inclusion and
56:39 empathy then then this is probably the
56:41 group for
56:43 you and the first thing that you should
56:46 do in the spirit of generosity is
56:48 introduce yourself so go to the
56:50 community section Greg Mason just
56:54 did
56:58 look he even used a cool
57:01 GIF I'm pretty sure that was not AI
57:05 generated
57:08 awesome introduce yourself tell us who
57:11 you are tell us what you do tell us
57:14 where you are in this AI Journey
57:17 including ah holy [ __ ] I came to this
57:19 Tik Tok and now I think I should learn
57:21 about the what do I do where do I
57:23 start people in here love that they
57:26 won't judge you for that they'll [ __ ]
57:27 love that they'll be like oh come on in
57:29 water's
57:31 fine now the people that are telling you
57:33 the water's
57:36 fine that's what they're feeling like on
57:38 a daily
57:40 basis but we've at least got an inner
57:47 tube and then there's a water cooler
57:49 discussion where you can ask questions
57:50 and do stuff there's an ask for help
57:52 section if you want to ask a really
57:53 specific question that's my Jank nephew
57:55 oh that's awesome that's
57:58 great Greg Mason awesome um the show and
58:01 tell channel is a lot of fun so the show
58:03 and tell
58:04 channel has become kind of a nightly jam
58:07 session Finger count is good now yeah
58:10 that was I was talking earlier about
58:12 about uh janky fingers and how janky
58:15 fingers are are becoming a thing of the
58:17 past we're going to look back on
58:19 pictures that have six or seven fingers
58:22 on each hand and we're going to go oh
58:24 yeah that was from 2023 we're going to
58:25 look back on it
58:30 nostalgically wait someone in here has
58:32 got the the handle Buttercup I [ __ ]
58:34 love that like I my one of my favorite
58:36 phrases right now is buckle up buttercup
58:39 so if you're if you're handle his
58:41 Buttercup here buckle up I can now
58:44 legitimately say buckle up buttercup
58:47 that's [ __ ] awesome um here's Mimi I
58:50 am I am loving AI art right
58:52 now this is one of the things that we
58:54 consistently see in here too is is
58:56 people sort of come into this skeptical
58:58 and then when they see how [ __ ]
59:00 magical these tools are and how how they
59:02 take what you want to
59:05 do creatively or just just from a
59:08 self-expression standpoint just make it
59:10 possible and so do you know Carol we
59:14 really don't have to worry about
59:19 AI that's awesome oh yeah per oh this is
59:24 okay Perfect Image that's that's who did
59:27 this Megan W so [ __ ]
59:30 cool so so think about this community
59:34 what's happening right now so I come up
59:36 with this janky ass metaphor of someone
59:38 in a
59:40 rowboat and they and they're way off in
59:42 the distance are these things that they
59:44 can't make out and then all of a sudden
59:46 these things show up like that is this
59:48 is such the
59:50 perfect interpretation of that this is
59:54 so what's happening
59:57 and it's like it's it's it's amazing
59:59 like they've all dropped their ores and
1:00:01 they're just staring at these boats
1:00:03 they're like these things are alien to
1:00:05 the Rob
1:00:07 boats that's what this technology
1:00:10 is if I'm in a consulting firm right
1:00:15 now and I'm thinking that it's
1:00:20 acceptable to turn around a competitive
1:00:23 analysis in two
1:00:26 months and that's faster than we used to
1:00:29 do it because we used to do it in six
1:00:34 months when some snot-nosed Punk comes
1:00:38 along and does a better competitive
1:00:40 analysis than you do and they deliver it
1:00:42 in a
1:00:43 week for 25% of what you
1:00:48 charge what are you going to do you're
1:00:50 going to sit in this boat right here and
1:00:52 you're going to look at that and you're
1:00:53 going to laugh at it and you go well
1:00:54 that's not even possible POS it can't
1:00:56 possibly be as well thought out and as
1:00:58 well researched as our
1:01:00 work and then the client gives you the
1:01:03 research and gives you the competitive
1:01:05 analysis and you look at it and you
1:01:07 realize holy [ __ ] it's better than
1:01:10 better than anything we've ever done and
1:01:12 they delivered it in a week we're
1:01:15 [ __ ] that's what's
1:01:18 coming in every
1:01:23 industry so anyway so this is show and
1:01:25 tell so show and tell's become this kind
1:01:27 of jam session that just does cool [ __ ]
1:01:29 like that and it's also there's another
1:01:31 it's beautiful Debbie Neil we learned
1:01:33 from Kyle
1:01:40 yeah AI makes anything possible by
1:01:43 anyone no one has an edge anymore yeah
1:01:47 what happens what
1:01:49 happens what happens
1:01:51 when you're in a professional
1:01:54 environment where you were the only
1:01:55 person that had the knowledge to be able
1:01:58 to do the thing that you do and all of a
1:02:01 sudden anyone in your company who has
1:02:04 the desire also now has that
1:02:07 knowledge what do you do do you hang on
1:02:10 to your proprietary way of thinking do
1:02:12 you think you're going to be able to
1:02:13 charge as much as you once did if you're
1:02:16 a
1:02:18 freelancer these are really cool so so I
1:02:21 just love that this community is like it
1:02:23 becomes this jam session the AI learning
1:02:25 lab dumpster
1:02:28 fire yeah
1:02:31 exactly
1:02:33 exactly and you know you know what's
1:02:35 funny like so this so one of my
1:02:38 nicknames for this channel that was it
1:02:40 was assigned to the Channel I didn't
1:02:41 come up with this uh it was a troll and
1:02:44 it was a good troll is they they they
1:02:45 said this channel should be called chat
1:02:48 add I'm like actually that hurts a
1:02:51 little but it's good that's right it
1:02:53 should
1:02:53 be
1:02:56 and I think there
1:02:59 there's there's a good lesson in in that
1:03:02 for me that that the chaos of this
1:03:05 channel there is a through line here the
1:03:07 through line is be curious learn some
1:03:10 [ __ ] share some [ __ ] talk about what
1:03:13 you're learning talk about what's
1:03:14 happening share the victories share the
1:03:17 losses it's kind of chaotic it's kind of
1:03:20 weird but you know what that's what
1:03:22 that's the professional that not
1:03:25 professional that's what these tools are
1:03:27 going to do to every Walk of
1:03:30 Life and right now it doesn't seem like
1:03:32 that because chat GPT is this really
1:03:34 janky ass tool that sits off in the
1:03:36 corner that 95% of
1:03:39 people have not really used there's like
1:03:42 5% of people right now using chat GPT in
1:03:45 on any level of
1:03:48 regularity that kind of understand what
1:03:51 what's happening 5% that means 95%
1:03:55 what happens when 50% actually
1:03:57 understand what's happening it's going
1:03:58 to be a bit of chaos it's going to be a
1:04:00 bit of a dumpster fire I love that image
1:04:01 that's a great image in fact that's a
1:04:04 good enough image let's grab that do
1:04:07 save image
1:04:08 as that was Kelly
1:04:11 right
1:04:13 Kelly I try to mark all my images with
1:04:16 the people that made them because
1:04:17 they're so cool and if I ever like want
1:04:19 to use them somewhere I want to be able
1:04:20 to reach out to people
1:04:23 um
1:04:27 that's going in the
1:04:29 collection because that's a good
1:04:32 one that's a good
1:04:35 one
1:04:39 um what else we got here show and tell's
1:04:41 good better irregular than
1:04:44 irrelevant chat GPT still Dolly 3 still
1:04:47 can't spell irrelevant really throws it
1:04:49 although that's about as good as I've
1:04:51 seen a regular being
1:04:53 spelled
1:04:56 yeah this is this is just awesome right
1:04:58 [Laughter]
1:05:07 so oh the trolling she runs deep I like
1:05:11 it oh little champy action little little
1:05:14 OD to
1:05:16 champy and then what else do we have in
1:05:18 here beat me
1:05:21 up really cool yeah there you go yeah
1:05:24 yeah exactly where do you want to
1:05:27 be um in the AI Salon there's also AI
1:05:31 tools and resources this page right here
1:05:33 in my opinion if you're if you're on the
1:05:35 outside looking in right now and you're
1:05:36 like but cow where do I start okay fine
1:05:39 I heard your little Soap Box speech
1:05:41 preacher okay preacher I heard it I've
1:05:44 got the word fine I understand I got to
1:05:46 get with the program with AI there
1:05:48 whatever whatever dude where do I start
1:05:51 what do I do this list you could spend
1:05:55 the next three months just with the
1:05:57 links on this list and probably not get
1:06:00 to the bottom of
1:06:02 it so what this is is this is a list
1:06:04 that I I personally maintain and curate
1:06:07 and this is tools that I think are
1:06:11 important and will not be a waste of
1:06:14 your time there are
1:06:16 thousands of tools right now and a lot
1:06:20 of them are just complete wastes of your
1:06:23 time just trying to get a Buck from you
1:06:25 there there's a lot of these kind of
1:06:26 tools you can make money time there's a
1:06:29 lot of that [ __ ] out there so you kind
1:06:30 of so navigating this stuff it's a
1:06:32 hornet's nest so what this list is is I
1:06:36 promise you if it's on this list I've
1:06:38 used it I'm not getting paid by these
1:06:40 people I that I'm not getting paid by
1:06:42 chat gpts since this is a [ __ ] ad for
1:06:45 chat GPT every night is still Beyond me
1:06:47 but whatever Sam's jealous of me he
1:06:50 doesn't know if ilio works for his
1:06:51 company or not he's jealous of me I
1:06:53 here's the thing
1:06:55 I think he doesn't know that Ilia works
1:06:56 at open AI cuz he he's so consumed with
1:06:59 me he's so jealous of me anyway that's
1:07:01 just that's just rumor okay people
1:07:04 please if you're a reporter in here do
1:07:06 not report that because what Sam will
1:07:09 tell you is I have no idea who who are
1:07:11 you talking about what no I don't know
1:07:13 him that's what Sam will tell you okay
1:07:15 so just if you're a reporter save
1:07:17 yourself the trouble because we know how
1:07:19 jealous he is
1:07:21 anyway if you if you haven't played with
1:07:24 this stuff yet the place to start is
1:07:26 chat GPT now I promise you if someone
1:07:29 comes along that upends them that is not
1:07:31 as good as them I will this will not be
1:07:34 the first spot I'll dump stuff off the
1:07:37 first spot I've kicked things off this
1:07:39 list and I I demote things all the time
1:07:41 but chat gbt right now is still the
1:07:44 leader in the market and um no one's
1:07:48 caught them which is amazing considering
1:07:50 how many how many massive trillion
1:07:54 dollar companies are trying to unseat
1:07:56 them this scrappy little 800 person
1:07:59 startup has [ __ ] everything up for
1:08:00 everyone so anyway start with chat GPT
1:08:03 even if you're just using the free chat
1:08:05 GPT there's a lot to learn understand
1:08:08 what custom instructions are understand
1:08:10 just what chat GPT is and how to use it
1:08:12 and how to write with it how to code
1:08:14 with it how to do comparisons with it
1:08:17 how to inspire yourself with it and
1:08:19 brainstorm with it and solve problems
1:08:22 with it and analyze documents with it
1:08:23 all sorts and stuff like that and then
1:08:26 if you can afford it 20 bucks a month
1:08:29 this is the best 20 bucks I think anyone
1:08:32 can spend right now 20 bucks a month
1:08:35 give up give up three Starbucks coffees
1:08:37 I always hate that when people say that
1:08:39 especially when they're selling courses
1:08:41 right if you just give up three
1:08:43 Starbucks coffees a month then you can
1:08:45 afford my
1:08:49 $19.95 you can make money
1:08:51 with um in this case I actually think
1:08:54 it's worth the 20 bucks and give up the
1:08:56 [ __ ] coffees so chat GPT 4 and and
1:09:00 and if the next question is can I just
1:09:03 use Microsoft co-pilot isn't that free
1:09:06 chat GPT
1:09:07 4 sort of yes if you can afford the 20
1:09:10 bucks a month then co-pilot is a good
1:09:14 alternative that's a good question
1:09:16 pinned repin the question I didn't see
1:09:17 it what about all these companies
1:09:20 advertising training and certifications
1:09:22 right now are they legit so the shadow
1:09:24 so so
1:09:27 um trainings and certification so it
1:09:30 depends
1:09:33 okay I need to come on screen I need to
1:09:36 come on screen for this so I can see how
1:09:37 red I'm getting
1:09:40 um trainings and certifications can be
1:09:43 really good right now but in my opinion
1:09:46 only in a certain sector of the
1:09:50 market and that sector of the market is
1:09:53 if you're developer and you want to work
1:09:55 okay okay so here's
1:09:57 the we'll sort of go back to the robo
1:10:01 metaphor machine learning in AI was was
1:10:05 was on a course
1:10:08 right
1:10:10 and November 30th 2022 the launch of
1:10:14 chat GPT this
1:10:17 happened
1:10:21 okay so we thought it was one boat
1:10:25 and on November 30th 2022 those two
1:10:28 boats started to go in different
1:10:30 directions what was that that
1:10:35 was prior to chat
1:10:38 GPT if you wanted to be in machine
1:10:40 learning and AI you ostensibly needed to
1:10:43 be an engineer a researcher a scientist
1:10:47 an Uber geek a mathematician from
1:10:49 Stanford a PhD like Pate a PhD that
1:10:53 really understands the mathematics of
1:10:55 this like you had to be in in you had to
1:10:58 be in that world chat GPT just like the
1:11:02 worldwide web did for the internet in
1:11:04 the
1:11:07 mid90s made the power of these tools
1:11:10 accessible to the rest of us okay so
1:11:13 this happened so if there are
1:11:15 certifications and certificates out
1:11:17 there for the more technical stuff for
1:11:20 the backend stuff for the AI operations
1:11:22 stuff for sec security and privacy and
1:11:25 machine learning and embedding and AI
1:11:32 development those are likely
1:11:36 fine and by fine I mean I think you
1:11:39 still need to pay very close attention
1:11:42 to what they're teaching because it's
1:11:44 possible you take a course that's
1:11:46 teaching you something that's already
1:11:49 obsolete
1:11:51 now the courses and certification
1:11:54 certainly certifications I think courses
1:11:56 are okay but
1:12:00 certifications for generative AI for
1:12:03 like prompt writing and for how to use
1:12:06 mid journey and how to do all the [ __ ]
1:12:09 that's like post chat
1:12:11 GPT all of those I would take every one
1:12:14 of them with a grain of salt like if
1:12:17 someone gives you a
1:12:19 certification for prompt writing should
1:12:21 you put that on LinkedIn absolutely Ely
1:12:25 because at some point people are going
1:12:26 to be like I need someone who's
1:12:27 certified with we we need 10 years of
1:12:30 experience in prompt engineering okay
1:12:32 well it's really only been around for
1:12:34 four or five years and really only been
1:12:36 around for a year but yeah you're 10 so
1:12:40 yeah put all that [ __ ] on your LinkedIn
1:12:43 because it will help you but I would
1:12:46 temper your expectations about the value
1:12:49 of any of that
1:12:50 stuff just because things are moving so
1:12:53 fast
1:12:55 so so back to this
1:12:58 image wait oh I didn't move it over
1:13:00 where is it back
1:13:05 [Music]
1:13:13 to this
1:13:22 image all of the certifications and
1:13:25 workshops on the generative AI tools
1:13:27 that have come out in the past
1:13:29 year are essentially
1:13:32 you learning the skills of how to run a
1:13:36 roboat this is this is Google's gemin
1:13:40 Ultra this is GPT
1:13:43 5 so
1:13:46 so yes feel do do whatever works for you
1:13:50 to learn but understand the game that
1:13:53 we're in right
1:13:54 now anyone that claims today to be an
1:13:58 expert in this generative AI stuff is
1:14:00 not they're more in this space you can
1:14:03 make money
1:14:04 with now are there skills to be taught
1:14:07 sure there are but just know that
1:14:09 they're disposable skills because here's
1:14:12 the most important skill to
1:14:16 learn just keep showing up and keep
1:14:19 being curious like why come here why do
1:14:22 people come here night after night
1:14:24 I don't [ __ ]
1:14:25 [Music]
1:14:27 know but I
1:14:29 do they come for the same reason I do
1:14:32 these night after night which
1:14:35 is I want to make sure that I'm still in
1:14:38 the
1:14:39 conversation actively in the
1:14:41 conversation what
1:14:44 conversation what is AI what can it do
1:14:46 what can it not do who's doing it how do
1:14:48 we do it how's it going to impact
1:14:50 business what's going on with copyright
1:14:52 is it stealing are the robots going to
1:14:53 going to kill us that
1:14:55 conversation and not like academically
1:14:58 off to the side observing it like an
1:15:02 orange like in the [ __ ] game on the
1:15:06 [ __ ]
1:15:12 surfboard like why you
1:15:16 come it's just to stay on the
1:15:22 surfboard
1:15:30 that's the education right
1:15:32 now and who are the
1:15:35 professors you know who the professors
1:15:37 are well I'm one of them so is every
1:15:40 single person the Irregulars that show
1:15:42 up here night after night a lot of them
1:15:45 are better at this [ __ ] now than I
1:15:48 am why because they've got different
1:15:51 skills than I do and they're applying
1:15:53 them in different different
1:15:55 ways Pate thinks about this completely
1:15:59 differently than I do Suzanne does like
1:16:02 Kelly Camp does like everyone in here um
1:16:05 lunis dick Daisy Thomas does like
1:16:07 everyone in here is bringing their own
1:16:10 particular lens that they see the world
1:16:12 through and their work ethic and their
1:16:15 how they learn stuff how they teach
1:16:18 stuff and so it it is becoming a
1:16:22 collaborative
1:16:25 University and I think that's the only
1:16:27 way to learn right now because because
1:16:30 no one knows that this it's not stable
1:16:33 it's it is like
1:16:36 this so if I teach you how to surf this
1:16:40 wave on this day in this weather
1:16:44 condition that does not teach
1:16:47 you how to surf a bigger wave or a
1:16:49 smaller wave in much windier conditions
1:16:54 well how do you do that just keep
1:16:55 [ __ ] paddling out and
1:16:57 surfing right so so so we're in a
1:17:01 crazily Dynamic um educational
1:17:05 environment right now Milo's wife I've
1:17:07 said it before we're just a few bad days
1:17:09 away from becoming a cult it's true it's
1:17:13 not it's it's not you're not that far
1:17:16 off Pate I you know I I am hoping I'm
1:17:19 hoping this is not cult-like
1:17:21 but if I keep talking about this Shi be
1:17:23 in Magic then I think you're
1:17:25 [Laughter]
1:17:28 right oh my
1:17:30 God yeah I know listen I I mean I am
1:17:33 using kind of biblical imagery
1:17:37 here but it's it's not intended to be
1:17:40 that but but it is it
1:17:48 like this this is exciting times this is
1:17:52 this is an amazingly
1:17:54 rare not
1:17:58 rare a unique time in history that we
1:18:01 are fortunate enough to be able to
1:18:03 participate
1:18:07 in um
1:18:10 okay let me go back here show and
1:18:14 tell all right so the AI salon so that's
1:18:17 the show int tell Channel [ __ ] up
1:18:19 buttercup [ __ ] just jump in and go
1:18:25 but I don't know anything nobody
1:18:28 dos that's awesome back Ali L AI
1:18:32 certifications yeah you know what Sherry
1:18:35 that's
1:18:37 yes that's right that's what's you can
1:18:40 make money
1:18:42 with yeah that's those
1:18:46 people because cuz what I can promise
1:18:48 you is there there are very few
1:18:50 universities right now that even know
1:18:53 know what is going on much less could be
1:18:57 teaching it a lot of them are absolutely
1:19:00 resisting it so anyway oh back to tools
1:19:02 and recommendations okay so start with
1:19:04 chat GPT pay your 20 bucks a month learn
1:19:07 about what it means to work with a
1:19:10 multimodal large language model like
1:19:13 chat GPT how is it different to use chat
1:19:16 GPT when you've got internet access what
1:19:19 is code interpreter and how do you
1:19:21 advanc do Advanced Data analysis with
1:19:23 chat GPT did you know you could do
1:19:26 Advanced Data analysis with chat GPT and
1:19:29 you're like but Kyle I heard that large
1:19:31 language models can't add they can add
1:19:35 but what code interpreter does is it
1:19:37 spins up a little container that's got
1:19:40 like a little mini computer inside your
1:19:42 chat session and it has access to python
1:19:46 code and it writes and executes its own
1:19:49 python code and when you run python code
1:19:51 it can do math so in this case chat GPT
1:19:55 is managing a thing that can do math
1:19:59 it's it's like a really mini example of
1:20:04 these things starting to reason and
1:20:06 start starting to be autonomous so if
1:20:08 you want to kind of actually experience
1:20:10 what's coming with large language models
1:20:13 play with code interpreter and look at
1:20:14 what it does it will blow you the [ __ ]
1:20:17 away if you haven't done it it's it's
1:20:19 it's just batshit crazy GPT Vision did
1:20:22 you know that chat GPT you can upload a
1:20:24 picture of a whiteboard and it can it it
1:20:27 knows what's on the Whiteboard if you
1:20:29 have a sketch of an interface for
1:20:31 software you could have it create you a
1:20:35 poster of that software with the
1:20:38 interface on a phone in someone's hand
1:20:41 in an airport from a whiteboard sketch
1:20:44 it could write the code for the
1:20:45 interface did you know
1:20:48 that Dolly 3 I assume you know it can
1:20:51 make images it can do pretty pictures
1:20:54 and then there's these things called
1:20:55 gpts which which are the first that that
1:20:58 I've experienced these are the first
1:21:02 truly
1:21:03 non-technical application development
1:21:06 tools out there there's lots of tools
1:21:08 that are called No code or low code but
1:21:10 they're still high logic so if you use a
1:21:13 tool like zappier or make or God forbid
1:21:16 bubble which is super powerful but you
1:21:18 essentially have to be a developer you
1:21:20 have to understand computer coding logic
1:21:23 even though you're not coding you're
1:21:25 coding you're you're you're stitching
1:21:28 together Computer
1:21:29 Logic making gpts it lets it lets you
1:21:34 make a personalized customized version
1:21:37 of chat GPT that's your special little
1:21:40 thing with zero coding
1:21:44 knowledge how do I know this 3 weeks ago
1:21:47 an Murphy and I did this thing called
1:21:50 the GPT for good challenge where over a
1:21:53 24-hour period our goal was to get
1:21:56 anyone who wanted to to build a GPT for
1:21:59 the nonprofit of their choice and this
1:22:01 community in 24 hours built 150 of them
1:22:05 many of the people that participated had
1:22:07 never built an application before in
1:22:09 their life some of them built like 10 15
1:22:13 20 gpts some of them are still be
1:22:15 building gpts some of them are now
1:22:17 teaching courses to build gpts Cory
1:22:20 Sandler who's a Potter and an artist and
1:22:22 a remarkable woman is now not only
1:22:25 showing how she makes her Pottery she's
1:22:27 showing the gpts that she made and she's
1:22:29 telling people how she made them it's
1:22:31 just [ __ ] crazy crazy crazy what what
1:22:34 it makes possible like it is it is
1:22:40 um it's changing people's
1:22:43 lives I and I'm like I'm hesitating
1:22:46 saying this because I'm hearing pate's
1:22:48 voice in my head going this is turning
1:22:50 into a c this is definitely a sermon
1:22:52 tonight
1:22:54 but that's
1:22:56 okay people that are embracing this
1:22:58 stuff are discovering ways to express
1:23:02 themselves that they didn't think was
1:23:09 possible go check out Corey Sandler's
1:23:12 gpts she's got one called iconics eye c
1:23:16 n iix I
1:23:18 think that's a that's an eyeglasses
1:23:20 designer she's super passionate about
1:23:23 crazy kickass designed eyeglasses and so
1:23:26 she made a GPT that does that Becky Ru
1:23:30 loves quilting so she made a
1:23:32 GPT that that makes these Kick-Ass quilt
1:23:36 designs it's just like person after
1:23:39 person after person are realizing oh my
1:23:42 God like I could I can do this and I can
1:23:44 share it with the world and I can share
1:23:46 it with the world in a way that they get
1:23:48 to experience the joy of what I'm
1:23:50 passionate about yep
1:23:54 so that's just chat
1:23:57 GPT if you haven't
1:24:01 experienced like all of these bullet
1:24:08 points go
1:24:10 play well but Kyle you don't understand
1:24:13 I'm not very technical you say data
1:24:14 analysis and and writing and executing
1:24:17 python
1:24:20 code here
1:24:21 watch
1:24:28 I'll show you how technical you have to
1:24:30 be to do data
1:24:33 analysis first thing we're going to do
1:24:35 is we're going to go get some
1:24:38 data where'd he get data we're gonna go
1:24:41 to a site called kaggle keegle
1:24:45 kagle keegle is a very different website
1:24:48 can't go there on Tik Tok okay kaggle k
1:24:51 a g GLE e
1:24:57 and then I'm going to sign
1:25:02 in and I'm going to go to data sets and
1:25:05 I'm going to go grab a piece of data
1:25:08 world population data that's 15K that's
1:25:10 not big enough let's get something
1:25:13 meteor um four megabytes factors of
1:25:17 global yearly temperature change that'll
1:25:19 be political I don't want to do
1:25:21 political okay here's a mega by New York
1:25:23 City taxi and limousine Fair data great
1:25:26 okay I'm going to download this
1:25:29 okay so I said you didn't need to be
1:25:32 technical to do data analysis I'm going
1:25:35 to go to chat GPT 4 notice when I go to
1:25:39 chat gp4 there's a little paperclip that
1:25:41 shows up here in the lower lower
1:25:44 corner ah yeah so you pay 20 bucks a
1:25:48 month for a paperclip yeah you pay 20
1:25:50 bucks a month for a clippy that works
1:25:52 you click on that and I'm going to go
1:25:55 find archive. Zip so you and I both
1:26:00 know that that's a data file that's got
1:26:03 New York City taxi and limousine stuff
1:26:06 in it but cat GPT doesn't know
1:26:09 that and we don't know what's in it we
1:26:12 just know that someone said that's what
1:26:14 it was
1:26:16 so if I type
1:26:19 what is
1:26:21 this and
1:26:23 what is
1:26:25 interesting
1:26:28 interesting about the
1:26:30 data you
1:26:34 find question
1:26:36 mark not super technical in terms of of
1:26:40 data analysis right not a super
1:26:41 technical
1:26:43 question but I hit return and then it
1:26:46 says analyzing now watch what it's
1:26:48 actually
1:26:50 doing behind the scenes
1:26:53 it is importing some python libraries
1:26:56 writing its own python code and
1:26:59 executing its own python code so it says
1:27:02 the zip file contains two CSV files
1:27:05 Yellow Taxi data New York City PRS means
1:27:08 uh this suggests it might be predicted
1:27:10 means for some data set I like I don't
1:27:12 even know what that
1:27:13 means predicted means that's some sort
1:27:16 of data science [ __ ] term I don't
1:27:18 know what that
1:27:19 means let's see to understand what's
1:27:23 interesting about the data I will need
1:27:24 to take a closer look at the contents of
1:27:27 each file let's start by examining the
1:27:29 first few rows of the CSV files which
1:27:31 then does so then it reads these
1:27:37 files and then it says okay both data
1:27:40 sets are valuable for urban planning
1:27:42 Transportation analysis could also be
1:27:44 used for machine learning models to
1:27:45 predict taxi fairs so let's just go Um
1:27:50 find three interest
1:27:53 ing
1:27:55 Trends and
1:27:59 visualize them in a in an
1:28:04 athetic
1:28:06 aesthetically pleasing way the hardest
1:28:09 thing about this technically is spelling
1:28:11 the word aesthetically which I butchered
1:28:14 so but it will understand what I
1:28:17 meant and so now it's going to go look
1:28:19 at the data and it's going to find
1:28:21 Trends in it it's going to analyze has
1:28:23 has llm made machine learning
1:28:27 obsolete
1:28:28 no a large language model is is made
1:28:32 possible only by Machine learning this
1:28:34 is machine
1:28:35 learning what
1:28:38 it's well no it it hasn't made any of
1:28:40 that stuff obsolete all of the all of
1:28:43 the technical
1:28:44 underpinnings
1:28:47 of making these models and doing the
1:28:50 math and doing the data science all of
1:28:52 that that stuff is still required in
1:28:54 fact probably more
1:28:57 so what the large language models do is
1:29:00 they make it what what what applications
1:29:02 like chat GPT and co-pilot and Bard and
1:29:07 Claw and perplexity and Pi what those
1:29:10 things do is they make it accessible for
1:29:14 the rest of
1:29:15 us so just like the worldwide web didn't
1:29:18 make the internet
1:29:20 obsolete chat GPT doesn't make machine
1:29:22 learning obsolete right the internet is
1:29:25 is is a protocol and a series it's a
1:29:27 network and it's and it's um you know
1:29:30 it's it's different um interfaces that
1:29:33 allow these machines to talk to each
1:29:35 other the worldwide web was just a layer
1:29:37 on top of that that made it easy for us
1:29:40 to click on
1:29:41 hyperlinks so we could do all the we we
1:29:44 could do all we could get all the
1:29:45 benefits of the internet without having
1:29:48 to understand the codes that's what chat
1:29:50 GPT does
1:29:53 so anyway look at so so this just went
1:29:55 off and made of [ __ ] charts and
1:29:58 graphs did you know that it could that
1:30:01 chat GPT could do this did you know that
1:30:03 this was
1:30:04 possible if you don't hopefully one of
1:30:08 one of the other things I like talking
1:30:09 about in here is you should use chat GPT
1:30:12 long enough to have your first Kevin
1:30:15 McAllister moment right from Home
1:30:19 Alone chat GPT is the AOL of AI yeah I
1:30:23 think I think cat GPT is the worldwide
1:30:25 web of AI U because I think um AOL was
1:30:29 was too much of a Walled Garden okay so
1:30:32 so here's so BT here's here's here's my
1:30:35 um counter analogy for you um Microsoft
1:30:39 co-pilot is the AOL of AI chat GPT is
1:30:43 the worldwide
1:30:45 web actually it's the open source uh
1:30:49 Community that's the worldwide web um
1:30:51 but but anyway but chat GPT was the
1:30:53 thing that kicked it off and then and
1:30:55 then yeah Microsoft co-pilot is the AOL
1:30:58 of of of this
1:31:03 world um okay so that's that
1:31:08 so that entire rant is just chat
1:31:11 GPT right the other things on this list
1:31:14 and if you're wondering what list are
1:31:16 you on Kyle because I know there's a
1:31:17 bunch of new people in here um in the AI
1:31:20 salon so if you go to
1:31:23 the salon. A and click on the first link
1:31:26 it's going to take you into a community
1:31:28 called the AI
1:31:29 salon and you should join it the first
1:31:32 thing you should do though is check out
1:31:35 um The Welcome to the salon section read
1:31:38 about who we are and what our values are
1:31:41 make sure you're down with that then
1:31:43 introduce yourself and then if you want
1:31:46 to know how to get started with all this
1:31:47 stuff or like what tools like where do
1:31:48 you even begin go to AI tools and
1:31:50 resources under the Community
1:31:52 section and that's the page we're on and
1:31:55 so the thing that I was just playing
1:31:57 with was just just chat GPT just chat
1:32:01 GPT seriously you could spend the next
1:32:03 year just playing with chat GPT and not
1:32:05 get to the bottom of that well not even
1:32:08 close so what else is on this list are
1:32:12 here's all the other large language
1:32:14 models Claude Bard perplexity Microsoft
1:32:17 co-pilot um the specialty large language
1:32:19 models Pi grock piece of [ __ ] llama 2
1:32:23 amazing open source oh did you
1:32:26 hear this is [ __ ] insane so llama 2
1:32:29 one of the reasons there's Llamas on all
1:32:31 of our things is because llamas are cute
1:32:33 um but meta put out this thing called
1:32:35 llama 2 which is a a GPT 3.5 level large
1:32:42 language
1:32:43 model Mark Zuckerberg this week said
1:32:46 that his goal is now
1:32:49 AGI which also happens to be the goal of
1:32:52 Sam mman and open AI it's a big [ __ ]
1:32:57 deal what he also said is they've got
1:32:59 3,000 h100
1:33:03 gpus and they've got the compute
1:33:05 equivalent of an additional 300,000 so
1:33:08 if you take their their smaller gpus the
1:33:10 amount of and add all of the compute
1:33:12 together they've got an additional
1:33:14 300,000 equivalent of H1 h100 gpus So
1:33:19 Meta right now has 600,000
1:33:23 h100
1:33:24 equivalents training llama 3 and they're
1:33:28 going to open source
1:33:32 it so holy [ __ ] chat GPT isn't a w
1:33:36 Garden oh it's totally a wal Garden no
1:33:38 it's totally a wal Garden um no that's
1:33:41 why that's why I was saying P that the
1:33:43 uh the open source Community is more
1:33:44 like the worldwide web the plan is
1:33:47 there's no plan I think I'm hang on I
1:33:49 think I'm being trolled by my mods let
1:33:50 me let me check in scratch that reverse
1:33:53 it
1:33:58 exactly Feels Like Tonight wasn't the
1:34:01 night to have a plan welcome to Chad
1:34:10 add Silver Fox I plan to be here
1:34:13 tomorrow night too just to check on the
1:34:15 plan yeah I haven't even gotten to the
1:34:18 uh to the thing that I want to I want to
1:34:20 do that the idea that I have I'm going
1:34:21 to get there I promise I will I have not
1:34:24 forgotten it get AI learning lab
1:34:26 certified just send a bottle of Blandon
1:34:27 to Kyle seriously actually Amelio's wife
1:34:31 for for you and for anyone that that um
1:34:35 that however the hell you figured out to
1:34:37 get me a bottle of
1:34:39 blantons um I will absolutely give you
1:34:43 an AI learning lab certificate that you
1:34:45 can you can absolutely put on your
1:34:47 LinkedIn and you can say I earned a
1:34:49 certificate from the AI learning lab I
1:34:51 Suzanne that is such a great idea that
1:34:54 is
1:34:55 yes if you figure out how to get me
1:34:58 bottles of planton I will provide you
1:35:00 with a certificate that will be as
1:35:03 valuable as any AI certificate in in the
1:35:07 world right
1:35:10 now that's [ __ ]
1:35:15 brilliant
1:35:16 okay okay so all so the so so at the at
1:35:21 the AI salon on recommended tools the
1:35:23 first nine links are all large language
1:35:27 models all sort of chat GPT like things
1:35:30 that I think are worth your time except
1:35:32 for
1:35:34 grock to spend time with grock remains
1:35:37 on this list only because I know Elon
1:35:40 Musk is every one of his companies right
1:35:43 now is an AI company right so Gro is
1:35:46 going to get better right now it's
1:35:47 useless but so it remains on the list
1:35:50 because this is is going to get some
1:35:53 something's going to happen with this
1:35:54 that's going to make it really
1:35:55 interesting just right now it's not um
1:35:58 okay then here's all the image
1:36:00 generation tools dolly3 mid Journey
1:36:03 kore.ai Deco here this is one that's a
1:36:06 funky little upstart it's totally
1:36:09 free it's just it's a really interesting
1:36:12 tool I I don't even know the story
1:36:14 behind the company Korea's really
1:36:16 interesting Leonardo started as a simple
1:36:19 kind of stable diffusion rapper and now
1:36:21 they're taking
1:36:22 all of the cool [ __ ] that's happening in
1:36:23 the stable diffusion world and this tool
1:36:26 is getting remarkably sophisticated then
1:36:28 you got Adobe firly which is not trained
1:36:31 on Commercial um copywritten data so you
1:36:33 can use it commercially like in a big
1:36:35 Corporation for
1:36:37 example if you don't know that mid
1:36:40 journey is trained on lots of
1:36:41 copywritten data and Firefly is trained
1:36:44 on none well if you're in a big company
1:36:47 it would probably be a good thing to
1:36:49 know right you it's easy to get seduced
1:36:51 by these tools and go ooh they're
1:36:53 awesome and then this one could end up
1:36:55 Landing your company in some sort of
1:36:57 weird ass [ __ ] legal stuff as
1:36:59 everyone tries to figure out copyright
1:37:01 then you got video generation there's a
1:37:03 bunch of tools in there then you got
1:37:05 audio and music then you got 3D worlds
1:37:08 and objects um this world is going to
1:37:11 explode this year right now it's pretty
1:37:13 thin and then you got people to follow
1:37:16 so seriously if you spend a month just
1:37:19 going down the rabbit holes in this dock
1:37:22 doent um a you wouldn't scratch the
1:37:24 surface of it but B you'd get up to
1:37:26 speed pretty
1:37:28 quick so that's in there you can also
1:37:30 ask for help there's also guilds um so
1:37:33 the guilds within the AI Salon are are
1:37:36 subcommunities so there's an AI 101
1:37:39 Guild there's an Art Guild a writing
1:37:40 Guild a business Guild Pate has a AI
1:37:43 mechanics Guild for understanding the
1:37:45 the behind the-scenes stuff how these
1:37:47 tools work the mathematics all that sort
1:37:49 of stuff there's a healthcare Guild a
1:37:51 video Guild Guild an education Guild so
1:37:53 even if you don't find your people in
1:37:55 the general conversation areas you're
1:37:57 going to be able to find you know
1:37:58 specialist conversations and it's just a
1:38:00 remarkable community so anyway go do
1:38:03 that okay so here's the idea I
1:38:07 had Mr it I'm falling asleep come on
1:38:11 dude we're put we're putting on a sermon
1:38:14 here you can't fall asleep in a sermon
1:38:17 come
1:38:18 on you can make money with will chat GPT
1:38:22 evolve into action GPT eventually
1:38:25 absolutely do stuff versus just tell me
1:38:28 what I can do yeah absolutely Kim so so
1:38:30 here's here's let me let me jump out and
1:38:32 talk about that for a second um it's
1:38:35 worth watching the the interview there
1:38:38 there were a couple of interviews with
1:38:39 Sam Alman at um at Davos this
1:38:43 week
1:38:45 um and and he was asked about chat GPT 5
1:38:50 yeah chat GPT 5 or GP GT5 the
1:38:54 model he said a couple of
1:38:57 things he didn't say when it was coming
1:39:01 out but he said
1:39:07 um he said chat GPT 5 isn't going to be
1:39:11 incrementally better than GPT
1:39:16 4 and he goes I don't think people
1:39:20 understand
1:39:23 um you know exponential Improvement
1:39:26 people understand linear Improvement
1:39:28 like you were at one and then you got to
1:39:30 two it's like two times bigger but
1:39:34 exponential is like you know you're at
1:39:36 one and you and like two is like way up
1:39:39 here so so it's going to
1:39:42 get dramatically more powerful and then
1:39:45 the areas where he said it's going to
1:39:47 get more powerful is it's in reasoning
1:39:50 it's going to reason
1:39:53 so think so so you know right now when
1:39:55 you ask chat GPT or something and it it
1:39:57 it's like mansplaining as a service it
1:39:59 will confidently answer you even if it's
1:40:02 wrong when it reasons it won't do
1:40:06 that it will look at its answer and
1:40:09 before it gives it to you go does that
1:40:12 make sense is that right no oh I'm going
1:40:15 to keep working on it till I get it
1:40:17 right and then I'll give you the
1:40:19 answer so like it's going to go from
1:40:22 laughably bad sometimes where it just
1:40:24 does these hallucinations and it's just
1:40:26 like what the [ __ ] is this thing doing
1:40:27 it lost its mind
1:40:29 two it never makes a
1:40:34 mistake and then the other thing he said
1:40:36 is it's yeah actions you're going to
1:40:38 it's going to you're going to start to
1:40:39 be able to you you'll have agents that
1:40:41 can take actions on your
1:40:44 behalf and what that's likely going to
1:40:46 look like is not
1:40:50 like
1:40:52 you've got an agent and it's just like
1:40:55 okay my agent's going to run off and
1:40:58 book an airplane ticket and then it's
1:40:59 going to come back and tell me it booked
1:41:01 an airplane ticket no no it's going to
1:41:03 be more like you say to whatever this
1:41:05 thing's going to be
1:41:06 called I want a
1:41:09 trip for these four people for this
1:41:12 General time frame for a place we
1:41:15 haven't gone and that doesn't
1:41:17 suck and it will
1:41:20 generate dozens of agents that will all
1:41:23 go out in
1:41:25 parallel and do things on your behalf
1:41:29 and it'll be coordinated by a central
1:41:31 agent that's coordinating all this
1:41:32 agents that just generated and they'll
1:41:35 go out and they'll book tickets and
1:41:36 they'll come back and it'll be like no
1:41:38 those two don't work cuz Sally's
1:41:41 Calendar's not available and she just
1:41:43 changed it and so you got to go re
1:41:45 refund that ticket these things are just
1:41:47 going to be out doing that [ __ ] for you
1:41:48 so yeah that's where it's headed please
1:41:50 remind us about oh wait could someone
1:41:51 just repin that I was just reading it
1:41:53 when it went
1:41:55 away trolling with
1:42:00 love what's happening Kyle's talking
1:42:02 about chat gbt 5 let's be nice to the
1:42:06 boss no no no please please troll away
1:42:09 please troll away I no the I know first
1:42:13 of all for you mods I know you're
1:42:15 trolling with love um please troll away
1:42:17 it it makes me smile I like it please
1:42:20 remind us about the YouTube channel so
1:42:22 we can find the GPT for good recording
1:42:24 okay well so if you go
1:42:27 to go to this
1:42:33 URL that's going to take you
1:42:43 to um this link
1:42:46 tree and so the first one is to the AI
1:42:49 Salon community and then um the next two
1:42:52 are for the GPT for good event that we
1:42:54 did um the GPT for good YouTube playlist
1:42:58 is the second
1:42:59 one and that's a playlist on the AI
1:43:02 Salon or the AI learning lab YouTube
1:43:05 channel so if you go if you click on
1:43:08 this SEC second link the GPT for good
1:43:10 event directory it takes you to this
1:43:13 site that Vicky Baptist [ __ ]
1:43:17 incredibly generously Built For Us in
1:43:20 real time over 24 hours so it talks
1:43:23 about what the event was but then it's
1:43:25 also a directory of all the gpts that
1:43:28 were made in this 24-hour period 150 of
1:43:32 them um and there's even um here's the
1:43:37 document that we use to train people how
1:43:39 to make gpts so this is all out there
1:43:41 for you to use for free and then if you
1:43:44 go to the YouTube
1:43:46 playlist this is um videos of this
1:43:50 Channel and also also of an Murphy's um
1:43:54 Zoom
1:43:55 Channel um that teach you how to make
1:43:58 gpts so yeah go check those things
1:44:02 out all right this is so scary we're all
1:44:05 going to become
1:44:06 vegetables I don't know if we're going
1:44:08 to become vegetables I I got to tell you
1:44:10 Angelique I I am more
1:44:12 creatively alive and more intellectually
1:44:15 stimulated that I've I think I've ever
1:44:17 been in my life like rather than being
1:44:20 veget I I'm going the opposite direction
1:44:23 where I'm more
1:44:24 engaged oh that's right Silver Fox and
1:44:26 then the just if you want to find just
1:44:28 the the AI learning lab YouTube channel
1:44:31 it's AI learning laab dtt for Tik
1:44:38 Tok all
1:44:41 right all right so here's what I wanted
1:44:43 to do and this at at this point because
1:44:45 this has been such a [ __ ] sermon it
1:44:46 doesn't this may not really matter but
1:44:48 one of the things that hit me was um
1:44:52 there there's a lot of stuff going on
1:44:55 and I'll tell you I'll tell you how
1:44:59 um how Insidious our brains
1:45:06 are so one of the things that I've been
1:45:09 trying to do for 2024 is have a bit a
1:45:12 bit more of a plan like really have a
1:45:15 have I don't know if it's an end game
1:45:17 but but have some H have some strategy
1:45:20 for 202
1:45:21 for and so I made a Tik Tok
1:45:24 video where I asked people hey if I you
1:45:27 know if I'm going to make more content
1:45:29 because I've been I've been leaning on
1:45:31 these lives and not making as much
1:45:33 content on the Tik Tok Channel and so I
1:45:34 saidy if I were going to make more
1:45:36 content what you know what should I make
1:45:38 and so so a lot of it has been around
1:45:40 like help us keep up right help us keep
1:45:43 up so like a weekly wrap-up would be
1:45:46 good
1:45:47 great and so for a week I've been kind
1:45:49 of thinking about okay weekly wrap up I
1:45:52 can I I go to Tik Tok and I could I
1:45:54 could put the Tik Tock things in a thing
1:45:57 and I could do a thing and then I could
1:45:58 make a video and
1:46:01 then and and then it hit me
1:46:04 today that like um dear
1:46:08 Kyle the way you're thinking about these
1:46:11 weekly rap wrap-ups is the old way of
1:46:13 thinking where you actually had to think
1:46:15 about
1:46:16 [ __ ] and what hit me was wait a minute
1:46:19 chaty pts connected to the internet like
1:46:22 a way we could do weekly wrap-ups is we
1:46:24 could just ask chat
1:46:26 GPT what happened in AI this
1:46:29 week and let it go find some [ __ ] and
1:46:32 then go look at it and click on links
1:46:34 and talk about them I like oh that's
1:46:36 kind of easier and so AI daily rundown
1:46:40 by Suzanne oh okay cool oh that's right
1:46:42 Suzanne did the so so suzan uh Welker
1:46:47 Jurgens j r g NS um go look her up on
1:46:51 the the uh the GPT chat store what is it
1:46:56 why don't I go do that now so I'll go to
1:46:58 so if you go to get to the GPT
1:47:01 store click on explore
1:47:04 gpts
1:47:09 daily AI run
1:47:13 down yeah it worked okay so go to the a
1:47:18 ay the a daily rundown the AI daily
1:47:23 rundown by Suzanne Welker jerkens
1:47:28 Jurgens
1:47:30 and here you go today's Ai and emerging
1:47:33 Tech all right great and I assume this
1:47:37 is going to run off and do a Bing search
1:47:38 yep doing research with Bing I did a
1:47:41 quick search so now it's doing some more
1:47:45 AI 101 Open Session oh
1:47:49 okay
1:48:00 that's super cool all right I'm gonna
1:48:02 I'm going to show something
1:48:04 here 9:00 a.m. MST so 8 a.m. PST cool
1:48:12 okay I did a quick search and it tossed
1:48:15 an
1:48:19 error uh it's it's it's not that off
1:48:21 topic actually Brendan I'm going to I'm
1:48:23 going to pop that up there I think
1:48:24 that's
1:48:33 cool
1:48:36 H what was the quick search it did oh it
1:48:40 actually did the search but then it
1:48:41 crapped out
1:48:43 weird let's let's start it over new
1:48:49 chat
1:48:52 thank you
1:48:53 [Laughter]
1:49:02 Vicky all right how about not crapping
1:49:05 out chat
1:49:07 JP that would be good n it's not it's
1:49:10 not happy right now I don't know let's
1:49:12 see let me just go to a generic Chat gbt
1:49:15 thing um and I'll
1:49:17 go tell me
1:49:21 this
1:49:22 week's most important St stories about
1:49:27 AI chat
1:49:30 GPT
1:49:32 and anything
1:49:49 related there was only
1:49:53 one chat
1:49:56 GPT only one thing happened this week
1:49:58 according to Chad gbt this is this is
1:50:01 why this was an experiment
1:50:04 so Japanese author uses chat GPT for
1:50:07 award-winning novel oh yeah I heard
1:50:09 about that he disclo oh she disclosed so
1:50:12 re re cudan a Japanese author disclosed
1:50:15 that she used generative AI specifically
1:50:17 chat GPT to write parts of her
1:50:19 award-winning novel sympathy Tower
1:50:24 Tokyo she stated that about 5% of her
1:50:27 book included verbatim sentences
1:50:29 generated by chat GPT and like that
1:50:33 sentence pisses me the [ __ ] off like who
1:50:35 gives a
1:50:37 [ __ ] what percentage it
1:50:40 was right because it's like and I
1:50:44 I having used chat GPT to
1:50:49 write I I'll tell you this is a very
1:50:52 cleverly worded sentence about 5%
1:50:55 included verbatim sentences generated by
1:50:57 chat GPT I guarantee you a lot of that
1:51:01 book was generated by chat GPT that she
1:51:03 then rewrote so those weren't the
1:51:05 verbatim
1:51:07 sections but who gives a [ __ ] if the
1:51:10 book was good enough to win an award
1:51:13 from people that read the
1:51:15 book and she took the time to edit it
1:51:18 and write it and craft it and put her
1:51:20 name on it and say yeah I stand behind
1:51:22 this
1:51:25 book how many of the words in that book
1:51:28 were spell corrected by Microsoft Word
1:51:31 why don't we have that
1:51:34 percentage how many
1:51:36 grammatical errors did she make that
1:51:39 were corrected by grammarly
1:51:42 AI why don't we have that percentage in
1:51:44 this book who gives a [ __ ] how much of
1:51:47 the book was written by
1:51:49 AI
1:51:53 now I'm getting all fire and
1:51:56 brimstone you can make
1:51:59 money damn
1:52:02 [Laughter]
1:52:07 it the novel praised for its quality has
1:52:11 sparked debates among creative Pro
1:52:13 professionals about the implications of
1:52:15 AI and
1:52:17 writing here let's let's rewrite that
1:52:20 sentence
1:52:21 the photograph praised for its quality
1:52:23 has sparked debates among photographers
1:52:26 about the implications of digital
1:52:28 photography in
1:52:39 photography the plow powered by a steam
1:52:42 engine praised for its power has sparked
1:52:45 debates am among horse enthusiasts for
1:52:49 pulling plows through Farmers
1:52:52 Fields it's the same [ __ ] [ __ ] same
1:52:55 [ __ ] argument new
1:52:59 technology we're just early like this
1:53:02 that this is a [ __ ] story is just
1:53:05 because we're early and that she has to
1:53:06 defend herself I'll defend her
1:53:09 rudan you don't have to defend yourself
1:53:11 if you put a if you put a book out there
1:53:13 good enough that it won a [ __ ]
1:53:19 award I'm not going to ask you what
1:53:21 tools you use to write it it's not my
1:53:23 business I don't give a [ __ ] if it's
1:53:24 good it's good
1:53:28 period do I give a [ __ ] if
1:53:31 someone took an AI generated image into
1:53:34 canva and added text in
1:53:38 canva
1:53:40 no I'll just marvel at the fact that
1:53:43 something was spelled right in an AI
1:53:45 generated
1:53:49 image oh good lord I'm I'm [ __ ] fired
1:53:55 [Laughter]
1:53:58 up anyway that experiment was a
1:54:03 bust I'll when I'll I'll try Suzanne's
1:54:07 AI thing
1:54:13 again oh good lord people what are we
1:54:16 gonna
1:54:18 do you know what we do here's the deal
1:54:21 all the hand ringing all this
1:54:23 pontificating about is it good or bad
1:54:26 okay so here's my back to the metaphors
1:54:28 okay so we got our we got we got our we
1:54:31 got our tsunami metaphor right we got
1:54:33 our our uh beach beach cottage you can
1:54:37 be in one of two places you can be in
1:54:38 the beach cottage or you can be on the
1:54:40 surfboard in the tsunami okay that's
1:54:42 those are your choices right
1:54:44 now the the how much AI did re cudan use
1:54:49 in her award winning
1:54:51 book is the equivalent of the Miami city
1:54:56 council debating a law whether or
1:55:01 not they should make it illegal for
1:55:03 tsunamis to enter the
1:55:10 state that's what that that's what this
1:55:14 is now should we not have the debate you
1:55:17 can have the debate you can actually
1:55:19 pass the law
1:55:22 and the law passes Miami has declared it
1:55:25 is now illegal in the city and county of
1:55:28 Miami Dade County
1:55:31 Florida for any wave greater than 20 ft
1:55:35 to
1:55:36 enter the municipality and greater
1:55:40 County thereof
1:55:43 therein for a period no less than 100
1:55:48 years we've done it
1:55:51 congratulations we're safe from
1:55:55 tsunamis all
1:55:57 right do you hear that Rumble in the
1:56:00 distance it doesn't care about your
1:56:02 stupid [ __ ] law or your stupid
1:56:04 [ __ ] debate about what percentage of
1:56:07 her book was written by
1:56:09 AI still
1:56:11 coming if you don't think writers are
1:56:14 going to use the most powerful writing
1:56:16 tool in the history of humanity what are
1:56:19 you [ __ ] high
1:56:26 I mean even the writer Guild The Writers
1:56:27 Guild started out with the AI is evil
1:56:30 we'll never use ai go look at the
1:56:32 contract they
1:56:34 negotiated well we can use AI you just
1:56:37 can't use it to replace us but we can
1:56:39 use it of course they said
1:56:43 that cuz they got in their back rooms
1:56:45 and like there were three people in
1:56:47 there like have have you guys used chat
1:56:48 GPT this [ __ ] shit's [ __ ]
1:56:52 awesome let's let let's not cut off our
1:56:54 notes despite our face here people let's
1:56:56 make sure that they keep paying us and
1:56:59 and they can't kick us out of the writer
1:57:00 room but let's make sure that we can use
1:57:03 this [ __ ] that's that's the contract
1:57:06 they
1:57:08 negotiated tsunami is
1:57:11 coming all the hand ringing is like
1:57:14 passing anti- tsunami
1:57:17 laws so anyway
1:57:22 [Music]
1:57:27 let's see if champy wants to
1:57:29 sing good Lord people all right any
1:57:33 tools that add music to a video
1:57:34 automatically based on content theme not
1:57:37 right now Dr
1:57:38 [Music]
1:57:43 bod that I know of maybe I would say go
1:57:48 um yeah there the it's possible that
1:57:51 someone's built something like that I I
1:57:53 would think some of the dams could some
1:57:55 of the dams or Premiere Premiere might
1:57:57 even be adding something like that where
1:57:59 it can take the the Beats
1:58:01 of of music and automatically cut [ __ ]
1:58:04 into it so I would
1:58:06 say check out future pedia.com
1:58:15 [Music]
1:58:18 [Applause]
1:58:19 [Music]
1:58:21 a
1:58:24 [Music]
1:58:39 [Applause]
1:58:40 [Music]
1:58:48 minor oh hey ai. invido doio sounds like
1:58:52 Nido might do that video to music thing
1:58:55 according to Danielle Be not
1:58:57 Afraid ai. envidio doio sounds like they
1:59:01 might do it was that experiment 29 yeah
1:59:05 that was experiment 29 well this channel
1:59:07 listen I mean this whole channel is me
1:59:09 just trying
1:59:12 [ __ ] and mostly failing I mean sometimes
1:59:16 [ __ ] works I love that dumpster fire
1:59:18 image that's so good
1:59:21 we're going to leave that right
1:59:23 there
1:59:26 that that is the
1:59:29 reality Robert Rossy thank you so much
1:59:32 Joker put up a thing passing passing the
1:59:35 collection plate for the
1:59:37 sermon thank you Robert Rossy for for
1:59:40 putting some putting some shekels in the
1:59:42 collection
1:59:45 plate further panicking Pate that that
1:59:48 we're starting a cult here
1:59:54 but thank you so much I appreciate
2:00:04 that oh man I didn't even see I should
2:00:08 have put on hang on what's the score of
2:00:12 the
2:00:13 uh San Francisco game is it
2:00:18 over
2:00:24 oh must be
2:00:27 over my bro said he heard a programmer
2:00:30 went and used AI to get 24 jobs at once
2:00:35 101 why
2:00:37 not so so that's the kind of
2:00:42 thing so as a programmer if you're a
2:00:45 freelance
2:00:47 coder and you're good you could probably
2:00:50 take on two jobs right maybe three if if
2:00:53 you got two lightweight ones and a heavy
2:00:58 one if you get baller with AI as a as a
2:01:04 pair
2:01:05 programmer yeah you could probably go to
2:01:08 10 clients or if you're really ambitious
2:01:10 like this person
2:01:13 24 it doesn't make
2:01:16 sense these tools give you superpowers
2:01:20 they give you they
2:01:22 exponentially they level you
2:01:25 up and and they they level you up in one
2:01:28 of two ways if you're if you have low
2:01:32 competence or low knowledge about
2:01:34 something
2:01:36 AI will instantly level you up to like
2:01:41 60% of where you were before which is
2:01:45 way [ __ ] farther than you thought
2:01:47 you'd be right you can't compete in a
2:01:49 world
2:01:50 class one-on-one with someone but you
2:01:53 can now be decently competent at almost
2:01:56 anything short of physical dexterity
2:01:59 stuff knowledge work creative work all
2:02:02 that
2:02:03 stuff if you focus this stuff on the
2:02:06 stuff you're already good at then it
2:02:08 amplifies that to like superhuman levels
2:02:11 right so if you're a coder that can
2:02:13 handle two or three clients you lean in
2:02:16 heavy into this stuff and deeply
2:02:19 understand how AI can amplify your
2:02:23 coding
2:02:25 capabilities because you're already a
2:02:27 master coder and you can look at what
2:02:29 these tools produce and go that's good
2:02:31 that's not good and you get your [ __ ]
2:02:33 workflows down you can take on 24
2:02:35 clients it seems
2:02:40 superum because it
2:02:48 is
2:02:52 so sad I don't have experience not so
2:02:54 sad not so
2:02:57 sad none of us have experience right now
2:03:01 no 182 none of us have experience right
2:03:04 now but Kyle you have a whole Tik Tok
2:03:07 channel of course you have experience
2:03:09 yeah I have experience when with the
2:03:11 [ __ ]
2:03:12 that that was
2:03:14 revolutionary on November
2:03:17 6th when open AI release their current
2:03:20 multimodal tools like I've got
2:03:22 experience using that but when chat GPT
2:03:26 5 comes out I'm going to be like a
2:03:28 bumbling [ __ ] idiot when Gemini Ultra
2:03:32 from Google comes out I'm going to be a
2:03:34 bumbling [ __ ] idiot no one right now
2:03:37 is as far behind as you think you are
2:03:41 the you're only any of our job right now
2:03:43 our only job right now is get curious
2:03:46 and start playing play don't think of it
2:03:50 like work and you've got to master it
2:03:52 and you've got to get a certificate and
2:03:54 you got to get
2:03:55 the it's got to be
2:03:58 perfect this [ __ ] ain't perfect these
2:04:00 tools are janky as
2:04:02 [ __ ] they're changing every three weeks
2:04:05 like the the fact that that Suzanne's
2:04:07 daily rundown thing just [ __ ] failed
2:04:09 it's not Suzanne's fault it's because
2:04:11 open AI changed something they're
2:04:13 probably in the middle of updating
2:04:14 something right now and so it just
2:04:17 [ __ ] breaks all the time we were we
2:04:20 were on the GPT thing that an Murphy put
2:04:22 on today and someone said oh yeah oh
2:04:25 Corey Sandler yeah I did this thing it
2:04:27 used to give back this really cool table
2:04:29 where it organized the answer now it
2:04:30 just gives a bulleted list I don't know
2:04:32 why it doesn't work like it did before
2:04:35 cuz these things are janky pieces of
2:04:37 [ __ ] and and open AI keeps changing
2:04:40 everything like they are literally
2:04:42 building the jet while we're flying
2:04:46 it so no one as far behind as you think
2:04:49 think you
2:04:50 are no one no one and no one is as
2:04:55 [ __ ] masterful as you think you are
2:04:57 all these [ __ ] you can make money
2:05:01 with they've created teaching materials
2:05:03 and workshops that are now obsolete how
2:05:06 do I know they're obsolete because they
2:05:09 put them in a written
2:05:13 document this shit's moving faster than
2:05:18 that
2:05:19 just
2:05:21 is if you're being taught it it is
2:05:31 obsolete but Kyle I I've created a
2:05:33 course and and mine is not obsolete I
2:05:36 okay great I right now it's not obsolete
2:05:39 in three months when chat jpt five rears
2:05:43 its ugly [ __ ] head or when Gemini
2:05:45 Ultra shows
2:05:48 up do you think your how to Wrangle chat
2:05:52 GPT to hallucinate less is going to be
2:05:57 interesting when these tools stop
2:06:00 hallucinating it's
2:06:02 like and listen I'm not [ __ ] on
2:06:05 anyone who's putting together like
2:06:06 people need to learn stuff like so it's
2:06:08 valuable to learn stuff just know that
2:06:11 what you're
2:06:12 learning has a very short shelf
2:06:17 life and so what it
2:06:19 what I think the implications of that
2:06:21 are is we all what do they call it being
2:06:23 monkey mind right that's the Zen thing
2:06:25 being beginners mind The Beginner's
2:06:28 mindset we all need to be in The
2:06:30 Beginner's
2:06:33 mindset don't seduce yourself into
2:06:36 thinking you've got this [ __ ] figured
2:06:38 out we're all in rowboats right now
2:06:41 we're we're all we're all wait where is
2:06:47 it we're all in that dinner tube in
2:06:50 these stormmy
2:06:55 Seas I did the basic reboot opened it
2:06:58 clicked to edit GPT and resaved it
2:07:00 worked as soon as I ran it oh okay cool
2:07:03 let me go try it
2:07:06 again AI daily
2:07:18 Rundown
2:07:23 bro you need a haircut I know Karen
2:07:25 right it's really bad I almost got one
2:07:28 today but I was too
2:07:30 busy yeah what are you GNA do no it's
2:07:33 still broke for me Suzanne wait let me
2:07:36 let me reload chat GPT in case it
2:07:38 brought up a cached version of
2:07:46 it um
2:07:50 what's the latest AI news this
2:07:58 week I wonder if it was the prompt did
2:08:00 you try clicking on on that prompt that
2:08:02 I clicked on
2:08:04 Suzanne no it's mine mine's that's
2:08:06 breaking for me for some reason anyway
2:08:09 there you go janky pieces of [ __ ] not
2:08:11 suzan's thing hers thing is not the
2:08:13 janky piece of [ __ ] what's the janky
2:08:15 piece of [ __ ] is the thing it's built
2:08:17 on
2:08:20 oh it's frustr I made a I made an image
2:08:24 where did I put
2:08:25 it uh well it doesn't matter I had a I
2:08:29 had a uh I had a metaphor Epiphany about
2:08:33 gpts so these little customized the the
2:08:36 GPT that Suzanne made there these gpts
2:08:39 that that we're all making right now
2:08:43 um they're they're kind of the technical
2:08:45 equivalent of you know when you leave
2:08:47 Walmart and they got the vending machine
2:08:48 Mach and you have the machine you put a
2:08:50 dollar in or a quarter in to get the
2:08:52 little toy in the cup the little plastic
2:08:55 toy like the little key ring thing or
2:08:57 the little car whatever it is the little
2:09:00 eraser that's sort of what they are and
2:09:03 and like they give you Joy and they're
2:09:06 like they're kind of cool and then
2:09:08 you're like you know they're like what
2:09:10 do you do with them like they're not
2:09:11 they're not they don't have any value
2:09:13 right now some of these things have
2:09:16 value but they're they're ephemeral like
2:09:18 that because they're built on top of
2:09:20 like ocean waves like this that are
2:09:24 moving this
2:09:25 violently and so just and then so what
2:09:29 you might say is well then I shouldn't
2:09:31 build them no you should absolutely
2:09:33 [ __ ] build
2:09:34 them because people that are building
2:09:37 them right now and getting good at this
2:09:38 and establishing a name for themselves
2:09:41 and becoming trusted are going to have
2:09:44 massive opportunity and as these tools
2:09:46 get
2:09:47 better the people that know how to play
2:09:50 this
2:09:51 game are going to be right there they're
2:09:53 going to be the first ones out of the
2:09:55 gate with remarkable
2:09:56 [ __ ] I mean some of these gpts are quite
2:10:00 remarkable the fact that open AI keeps
2:10:03 changing the [ __ ] infrastructure
2:10:04 underneath them is frustrating but it
2:10:07 doesn't mean you shouldn't do it bro you
2:10:09 need a haircut I love
2:10:13 that the best experience is experience
2:10:16 that is a solid that is a solid I like
2:10:19 it and I agree with
2:10:21 it is the people stuff that takes it's
2:10:24 the people stuff that takes all the time
2:10:27 absolutely yeah the people are the
2:10:29 hardest part here you're saying AI is a
2:10:30 dumpster fire AI is absolutely a
2:10:33 dumpster fire I learned so much from
2:10:35 this channel Kyle you are amazing thank
2:10:37 you thank you very much Dr bot I
2:10:38 appreciate that coding is not the hard
2:10:41 part I agree with that well so oh T
2:10:46 tatted tatted Code Monkey coding is not
2:10:49 the hard part if you know how to code I
2:10:52 agree with you coding is not the hard
2:10:55 part if you don't know
2:10:58 coding at all and you want to make an
2:11:02 app coding is the hard
2:11:05 part coding is the hard
2:11:08 part I agree with what you're saying
2:11:10 it's not the most important part right
2:11:12 the most important part is what's the
2:11:14 application we want to build what's the
2:11:16 use case does it meet the needs of those
2:11:20 people but that's coming from a person
2:11:23 that knows how to
2:11:26 code what we've been experiencing in
2:11:28 this community with the gpts is people
2:11:30 that know nothing about
2:11:33 coding where coding is the hard part
2:11:37 still have
2:11:39 ideas and what they're experiencing is
2:11:42 oh I can just say to chat GPT I would
2:11:44 like an app that does this please and
2:11:47 chat GPT goes here here you go pring
2:11:50 here you
2:11:52 go and then what they do is they go oh
2:11:55 if it can do
2:11:57 that maybe it can maybe I can create an
2:12:01 application that that um makes Pottery
2:12:05 glaze
2:12:07 recipes for beginning
2:12:13 Potters that's what Corey Sandler did
2:12:16 she's a
2:12:17 Potter and I assume people ask her all
2:12:19 the time how do you make glaze this
2:12:21 glaze thing is really complicated do you
2:12:23 have to use
2:12:24 chemicals what's zone three or whatever
2:12:27 it's called zone six what's or cone 6
2:12:30 what's cone six I didn't know what cone
2:12:33 6 was till I saw her GPT that told me
2:12:36 it's a temperature range oh okay so
2:12:39 apparently with Pottery glazing you use
2:12:42 chemicals and use certain temperature
2:12:44 ranges to make it do cool
2:12:47 [ __ ]
2:12:49 that's about as much as I know about
2:12:50 Pottery well now
2:12:53 because Corey who's an artist and not a
2:12:56 coder where coding is the hard part if
2:12:59 she wanted to do that in the olden timey
2:13:01 days
2:13:05 2022 that app never would have seen the
2:13:07 light of
2:13:09 day she's not going to hire a coder
2:13:12 she's not going to start a company to
2:13:14 build a glaze recipe software
2:13:17 development
2:13:19 she's a Potter why would she want to
2:13:20 [ __ ] with that but
2:13:24 now she can just will into
2:13:29 existence that
2:13:31 application not Ken she did she willed
2:13:35 into
2:13:36 existence an application that helps
2:13:40 beginning Potters figure out how to do
2:13:42 cool glaze recipes and you can even tell
2:13:45 it what would this what would this glaze
2:13:48 look like like on a pot and it uses do
2:13:50 and generates a pot with that glaze on
2:13:52 it it's [ __ ]
2:13:55 amazing absolutely
2:14:01 amazing 101 and if you drop the ball on
2:14:03 one job with the 24 and lost it oh well
2:14:06 move on yeah
2:14:13 exactly aren't most of the zoom coding
2:14:16 interviews visible by the people on the
2:14:19 rounds Tom so that's an interesting
2:14:21 question but you're so so what Tom's
2:14:25 asking if you've got a coder that's
2:14:27 using AI to accelerate their
2:14:31 coding what he's saying
2:14:34 is well aren't the aren't you going to
2:14:38 get on a zoom interview call to be hired
2:14:40 to be a coder aren't the people on the
2:14:43 zoom call watching to see if you're
2:14:44 actually
2:14:47 coding
2:14:49 maybe
2:14:50 probably does that
2:14:55 matter let me tell you what I have a
2:14:57 software company and I I use
2:15:01 developers if my hiring methodology
2:15:06 was I'm going to interview you on zoom
2:15:09 and I'm going to give you a coding
2:15:10 Challenge and I'm going to watch you
2:15:11 code to see how fast you code or see
2:15:14 your thinking
2:15:17 process
2:15:20 and then someone showed
2:15:22 up and they said hey I took your coding
2:15:25 Challenge and I did that but I also did
2:15:27 10 other coding
2:15:28 challenges and I looked at your software
2:15:31 and I refactored your software so it can
2:15:33 now run
2:15:35 on Microsoft Zoom
2:15:40 Hardware I'd hire that second guy or
2:15:47 girl
2:15:48 I don't give a [ __ ] how they get the
2:15:51 code
2:15:52 done what I care about is can they do
2:15:56 the
2:15:57 job and if the job is to make my
2:16:00 software not
2:16:01 suck and someone comes in and proves
2:16:04 that they can do that faster better than
2:16:06 someone else I don't give a [ __ ] how
2:16:08 they did
2:16:09 it well what if it's not efficient I
2:16:13 then I'll wait 6 months and when GPT 5
2:16:16 comes out and it can do reasoning
2:16:19 one of the reasons I'll put in there is
2:16:21 make code that's the most efficient it
2:16:23 can possibly be and still do this
2:16:25 job I'll wait to six months for that
2:16:27 interviews are more about seeing how
2:16:29 people yeah I agree with that Pate so so
2:16:32 yeah I'm assuming that the person that
2:16:34 that did The Accelerated coating was not
2:16:37 a
2:16:38 douchebag like yeah I but that's
2:16:41 actually an important thing Pate
2:16:45 so I think we are quickly moving into a
2:16:49 hiring environment and it's not going to
2:16:51 be that it's not going to be visible in
2:16:54 the next year or two but but we're
2:16:56 quickly moving
2:16:58 here if you're kind of a jerk I would
2:17:02 start buttoning your [ __ ] up and
2:17:03 building relationships
2:17:06 because right
2:17:08 now let's let's say I need a particular
2:17:11 kind of Animation you know I I'm I'm
2:17:14 putting together an animated movie and
2:17:16 there's a particular kind of
2:17:18 that only Jesse can do and Jesse's a
2:17:22 flaming [ __ ] but Jesse is really good
2:17:26 at this particular kind of Animation
2:17:28 like when if I need ocean waves with a
2:17:32 inner tube on it I know that Jessie can
2:17:34 knock that [ __ ] out of the park and it
2:17:36 makes people weep how beautiful it is
2:17:38 but Jesse's a
2:17:42 dick Jesse's not long for this world
2:17:45 because I think where we move in the
2:17:47 future
2:17:49 is the number of people the number of
2:17:52 people that have the capability of Jesse
2:17:55 goes from one Jesse to a
2:17:59 thousand and then who do I work with I
2:18:03 no longer H hire people for their
2:18:06 specific competency I hire them for who
2:18:09 they are and if and if I trust them and
2:18:12 if I have a relationship with them and
2:18:14 if they're not a
2:18:16 dick so you're a dick you might want to
2:18:19 polish up your social skills I don't
2:18:22 really care if someone generates code
2:18:23 but they should understand how it works
2:18:25 absolutely P I listen I given given um
2:18:31 two AI literate
2:18:33 coders I would I would much rather hire
2:18:36 the coder with 30 years
2:18:39 experience than than the Newbie even if
2:18:41 they can both do the same thing with the
2:18:43 techn and this that it gets back to the
2:18:45 thing I was just talking about trust
2:18:48 th this is I I've got this saying I
2:18:50 think we're entering an era I'm calling
2:18:52 revenge of the Gen xers which I don't I
2:18:54 don't really care which which uh label
2:18:57 you put on it but older more experienced
2:19:00 workers that are AI literate I would
2:19:02 prefer them right now to younger um to
2:19:05 younger hires if I'm starting a
2:19:08 business
2:19:10 because older people have been on the
2:19:12 planet longer so they're going to be
2:19:13 able to look at the output of AI and
2:19:15 more quickly be able to discern this is
2:19:17 good that's not good how they think
2:19:20 about how to do the
2:19:22 code theyve got 30 years of experience
2:19:25 in that part the Tactical how it gets
2:19:27 done that's just going to get automated
2:19:29 like that's just going to get be done
2:19:32 quickly right it all becomes about the
2:19:34 critical thinking and the and who they
2:19:37 are so
2:19:38 it's [ __ ] work work is about to be up
2:19:42 ended the goal is to get us all in with
2:19:46 AI the new fourth Industrial Revolution
2:19:48 absolutely that's it you will own
2:19:50 nothing and be happy with AI That's
2:19:53 possibility try and learn the stuff
2:19:55 behind user interfaces learn a bit more
2:19:58 about the math and the code I agree with
2:19:59 that P modder I mean even me I mean I
2:20:02 have a degree in acting and like I like
2:20:04 technology it it felt it still feels it
2:20:08 feels really important to me that I
2:20:10 understand how this [ __ ] works one of
2:20:13 the when when Pate joined the AI salon
2:20:15 so so pate's a PhD mathematician he's
2:20:18 like he does [ __ ] I will never
2:20:20 do first question I asked him was cuz he
2:20:23 was like talking about Google's tpus
2:20:25 he's like what do you think about tpus
2:20:27 and I'm like I don't [ __ ] know what
2:20:29 they are
2:20:30 but and so I said them I'm like could
2:20:33 you explain to me the difference between
2:20:35 a TPU a GPU and a CPU and he did and the
2:20:40 minute I understood it I was like oh I'm
2:20:43 glad I know that because now I can think
2:20:46 about how you would execute something
2:20:48 even if I'm not going to execute it I
2:20:51 might understand that oh a TPU for this
2:20:54 specialized thing might be the right
2:20:56 approach and that might be different
2:20:57 from a a GPU or a
2:21:01 CPU is that going to help me in my
2:21:03 everyday life no but when it comes to me
2:21:07 making decisions about what direction I
2:21:09 might go or why this company's AI is
2:21:13 better than that company's AI well wait
2:21:15 why is that they're both using the same
2:21:17 same thing oh these guys are using tpus
2:21:20 oh I get it now they require less energy
2:21:24 less Cycles to do more work or whatever
2:21:26 it might be hard part is many seite
2:21:29 directors don't know the capabilities of
2:21:31 someone who use AI to absolutely my
2:21:33 issue now so digital building blocks
2:21:35 here's my strong strong recommendation
2:21:38 if yes digital building blocks you're
2:21:40 you're [ __ ] you're in the middle of
2:21:43 the well you're there you're that you're
2:21:46 that's that's you right
2:21:51 um the the the seite directors that are
2:21:55 clueless go read if you haven't read it
2:21:59 there's um one of the people I recommend
2:22:01 everyone follow if you're interested in
2:22:03 AI Ethan mullik e t h an m o l l i c
2:22:08 k go read an article on his blog called
2:22:13 detecting the secret
2:22:15 cyborgs so so Ethan mullock defines the
2:22:19 secret cyborgs as AI literate people
2:22:23 within
2:22:24 companies who are secret they're
2:22:27 secretly AI literate in your case you
2:22:29 might not be secretly AI
2:22:32 literate or you might be in a situ
2:22:34 situation where people know your AI
2:22:37 literate but they don't really give a
2:22:38 [ __ ] they're kind of Clueless up at the
2:22:39 seite level here's my strong strong
2:22:43 recommendation live out
2:22:46 loud talk about about it talk about what
2:22:48 you're learning talk about hey I'm doing
2:22:51 this with AI here's what I learned hey I
2:22:52 just built this thing check this
2:22:54 out well they're not really into it and
2:22:57 we have policies against AI That's okay
2:22:59 bring in a personal laptop or an iPad
2:23:01 and show them what you built on
2:23:04 that um post on
2:23:08 LinkedIn in the
2:23:10 lunchroom talk about what you're doing
2:23:12 talk about what you're learning join the
2:23:13 AI Salon tell people to join the AI
2:23:16 Salon I don't like it AI I this woman on
2:23:19 the phone today what do you do on Tik
2:23:21 Tok I teach people about AI her first
2:23:24 words out of her mouth I hate
2:23:27 AI within 30 seconds she was like okay
2:23:30 I'm GNA go get Tick Tock
2:23:37 now because here's why at some point
2:23:41 probably sooner than later I would I
2:23:43 would argue in 2024 probably within a
2:23:45 few
2:23:46 months someone in the sea Suite of your
2:23:49 organization is going to get religion
2:23:51 back to the cult thing um someone's
2:23:53 going to get religion and go I got to
2:23:55 figure this AI [ __ ] out right
2:23:56 something's going to happen there's
2:23:58 going to be a news story one of your
2:24:00 competitors is going to be able to out
2:24:03 something you um you're going to lose a
2:24:05 client to a client to a company that's
2:24:08 AI literate something's going to happen
2:24:11 where that seite director is now all of
2:24:14 a sudden going to go um who in this
2:24:18 organization knows anything about it and
2:24:19 if you've been the squeaky wheel they'll
2:24:22 reach out to you yeah they have no clue
2:24:24 now they want me to build them something
2:24:26 and give out my IP property okay okay
2:24:31 digital building blocks this is so cool
2:24:33 like you're [ __ ] you're [ __ ] right
2:24:35 in the heart of all of the issues that I
2:24:37 think are coming up right
2:24:38 now I think we're also moving into an
2:24:41 era era where individuals are going to
2:24:43 start to recognize the value of their
2:24:45 contribution to the organization
2:24:49 and they're going to start to say I want
2:24:51 to be compensated on this
2:24:55 because
2:24:56 companies are going to very soon realize
2:24:59 that they can exploit the [ __ ] out of
2:25:01 anything that any employee has ever put
2:25:05 into a data repository right because it
2:25:09 used to be we would dump all this [ __ ]
2:25:11 on the hard drives and no one would ever
2:25:13 look at it because it's hard to look it
2:25:16 like data is in different formats
2:25:19 and and you just never go look at it
2:25:21 it's just like the digital graveyard
2:25:24 right AI is going to be able to
2:25:26 resurrect all of that [ __ ] and turn it
2:25:29 into powerful
2:25:31 things and employees are going to very
2:25:34 quickly it sounds like you're in the
2:25:36 middle of it right now realize wait a
2:25:38 minute I'm producing something
2:25:41 here that could fundamentally transform
2:25:45 this
2:25:45 company and you're paying me an okay
2:25:48 salary but if I wait my intellect it's
2:25:52 my intellectual property I'm not giving
2:25:53 that away yeah don't give it away and
2:25:55 listen it or or you know what you give
2:25:58 away to them digital building blocks is
2:26:01 say
2:26:04 um I'll tell you what I'll do I'm not
2:26:07 going to build this
2:26:09 thing but what I will do is I'll put on
2:26:13 a workshop for the heads of all your
2:26:16 different department Ms so that they can
2:26:18 go figure out how to do this because
2:26:20 this shouldn't be the job of one person
2:26:22 that you just exploit the [ __ ] out of
2:26:24 you don't have to say it like that right
2:26:26 you're in a corporation you know you
2:26:27 know how to
2:26:29 talk say rather than having me go build
2:26:32 something which doesn't benefit the
2:26:34 company other than you can kind of
2:26:36 exploit this thing why don't you use me
2:26:39 as a resource to get as many people in
2:26:41 the company AI literate as
2:26:44 possible and I'll teach them how to do
2:26:46 that and I'll teach you how to to do
2:26:47 that in fact why don't we start before I
2:26:49 do that big Workshop why don't I come
2:26:51 into your office how's lunch two weeks
2:26:54 from now and I'll teach you how to use
2:26:56 chat GPT I told them that I would give
2:26:58 them a letter of intent but not the
2:27:00 knowledge yeah there you go yeah or yeah
2:27:02 cut a separate deal with them cut a REV
2:27:05 sharing deal cut a c cut a REV sharing
2:27:08 deal you get to keep you get to keep
2:27:10 some piece of the intellectual property
2:27:12 they get the instantiation of it and
2:27:15 then and then anything above a certain
2:27:17 percentage of improvement of the
2:27:18 business or increase in sales or
2:27:20 whatever the [ __ ] it is you get a REV
2:27:21 share deal on that they'll probably cut
2:27:24 the deal because they won't believe that
2:27:26 it's possible what you can
2:27:29 do and then a year later they'll realize
2:27:33 they're paying you way too much money
2:27:34 and they'll fire you but you know you'll
2:27:36 have fun in the meantime and you'll have
2:27:37 made a lot of money um you're in a
2:27:40 fascinating place man you're you're like
2:27:42 right in the heart
2:27:44 of and this is the reason so so what
2:27:47 he's talking about here is is he's he's
2:27:50 AI literate he's living out loud within
2:27:53 the corporation and he's now coming up
2:27:54 against all sorts of crazy ass things
2:27:56 like his intellectual propert his
2:27:59 contribution is going to be super
2:28:02 valuable what do you do with that I
2:28:04 don't
2:28:05 know you be in the conversation you be
2:28:08 that person in the organization because
2:28:11 frankly what he could do is if he's that
2:28:14 clear about the value of what he's about
2:28:16 to build he can probably just go build
2:28:18 that off to the side and start a
2:28:20 business around it it's a product
2:28:21 outside my cope of scope of work
2:28:23 currently yeah of course but because
2:28:26 you're AI literate all of a sudden it's
2:28:28 inside your scope of work right and
2:28:30 they're recognizing that and they want
2:28:31 to exploit that [ __ ]
2:28:34 it get compensated for it negotiate or
2:28:37 just go start your own company I think I
2:28:39 mean I I think you're in such an awesome
2:28:44 place she her oh cool awesome
2:28:50 perfect you know what's amazing so so uh
2:28:53 digital building blocks I can't your
2:28:55 picture is like this big I couldn't see
2:28:57 it
2:28:59 um the AI salon and a lot of the a lot
2:29:02 of the meetings the GPT building meeting
2:29:04 that we were just in that an Murphy
2:29:05 hosted it's like 65% female the the the
2:29:10 the meetings that I'm in about this AI
2:29:12 stuff are indexing more females than
2:29:15 males consistently for like the past 3
2:29:17 months it's it's [ __ ] wild it's it's
2:29:19 insane it's great I [ __ ] love it so
2:29:22 [ __ ] kick ass I that's I'm just yes
2:29:26 awesome [ __ ] that's really
2:29:32 exciting I'm in sales and marketing
2:29:34 within this
2:29:35 company oh that's really interesting and
2:29:38 so so I bet you're able to do something
2:29:40 outside of sales and marketing that's
2:29:42 actually on the product or the delivery
2:29:44 side interesting
2:29:49 yeah
2:29:52 yeah [ __ ] opportunity live out loud
2:29:55 with this stuff get curious about AI
2:29:57 learn
2:30:01 it it's so cool that's so exciting all
2:30:05 right someone told me to go check out
2:30:06 Show and Tell let me go check out Show
2:30:08 and Tell I got to get out of here what
2:30:09 time is it yeah it's 10:30 I got a good
2:30:12 spidey sense for when my well it's
2:30:14 basically when my voice starts closing
2:30:16 up tonight I've been particularly peppy
2:30:18 this has been a I've been on a [ __ ]
2:30:21 Soap Box all
2:30:24 night you are
2:30:28 fired you should get compensated more if
2:30:31 you're doing more than your job
2:30:32 description absolutely Suzanne
2:30:35 yeah yeah no know the value of it and
2:30:38 and actually actually that could be a
2:30:39 really interesting um conversation um
2:30:43 digital is
2:30:45 um
2:30:48 say I'm willing to talk about building
2:30:51 that thing you're talking what I'd like
2:30:53 to understand is what's that Worth to
2:30:55 the company and that'll make them really
2:30:58 [ __ ]
2:31:02 nervous digital building blocks offered
2:31:05 to build them an HR onboarding assistant
2:31:07 and fullscale marketing and automation
2:31:09 bot yeah do you know well you obviously
2:31:12 do you know how much that that's worth
2:31:14 right if you do that because that's not
2:31:16 just valueable for them that's valuable
2:31:18 for any
2:31:19 company the tip for
2:31:21 Tat the tip for Tat was over the
2:31:24 knowledge base oh interesting oh yeah
2:31:28 interesting
2:31:31 interesting yeah I [ __ ] stand your
2:31:34 ground
2:31:37 man stand your ground and make it clear
2:31:40 to them that
2:31:43 um you have options
2:31:47 cuz you
2:31:49 do I'll tell you what you build that
2:31:52 thing and you start demoing it on Tik
2:31:54 Tock or YouTube or
2:31:57 LinkedIn just say here's a thing I'm
2:31:59 building look at this thing that fully
2:32:01 automates this thing or that
2:32:04 thing yeah you do have options that's
2:32:07 [ __ ]
2:32:08 awesome man you're in such the perfect
2:32:11 place I I
2:32:15 would if you're not ready be inspired by
2:32:18 digital building
2:32:20 blocks this this is what this is I told
2:32:23 them no because anyone could go in and
2:32:26 get it and resell it oh oh they want you
2:32:29 to do it what in a
2:32:35 GPT that's really cool that's super
2:32:40 exciting
2:32:43 um Revenge to the Gen X someone's
2:32:47 obviously using Alec Baldwin steo I
2:32:50 think he uses Alex Alec Baldwin to make
2:32:52 me but I'll take it someone said that
2:32:55 one night they came in and and they're
2:32:56 like I was scrolling through Tik Tok and
2:32:59 I thought it was Alec Baldwin but he got
2:33:02 fat like [ __ ] but you know it's kind
2:33:05 of a compliment setting the value of
2:33:08 your knowledge from the conception of a
2:33:10 new thing is
2:33:12 hard setting the value of your knowledge
2:33:14 from the conception of a new thing is
2:33:16 hard
2:33:18 yeah it's hard but it's
2:33:20 also it's also really really important
2:33:25 right especially if you've got something
2:33:28 you know in in the case
2:33:32 of of her in this in this
2:33:35 situation she works for one part of the
2:33:37 organization and they're asking her to
2:33:39 contribute in another part of the
2:33:41 organization that's the perfect time to
2:33:44 say well let's talk about what that
2:33:46 really means
2:33:47 my boss wants to spend an afternoon with
2:33:49 me learning AI oh [ __ ] jump on that
2:33:52 jump on it Dr bod that's
2:33:56 awesome absolutely awesome teach teach
2:34:00 teach be generous in how you teach this
2:34:02 stuff it it it will it will it
2:34:08 just awesome live out loud with
2:34:15 AI
2:34:17 [Music]
2:34:20 get curious with AI yes
2:34:24 agree yeah yeah
2:34:28 exactly Surfs Up the tsunami is
2:34:31 coming
2:34:34 yep yep that's what's
2:34:39 happening it's not a cult it's not a
2:34:41 cult
2:34:42 next that's just
2:34:45 rude yeah you have to be of a certain
2:34:47 age to get that one but you get that one
2:34:49 that one's
2:34:54 good oh my
2:35:02 god oh yeah there was all oh wait oh for
2:35:06 you Kyle Shannon oh this is cool all
2:35:07 right Suzanne gave me some of the new
2:35:09 tag White House meeting on AI
2:35:11 competition policy High Lev meeting was
2:35:13 convened at the White House very cool
2:35:16 let's go look at
2:35:21 this assistant the president National
2:35:24 Economic adviser discuss a policy on
2:35:26 focusing on Fair open and competitive
2:35:29 markets the meeting highlighted the
2:35:30 risks of
2:35:32 concentration in the AI
2:35:37 ecosystem and explored ways to support
2:35:40 competition I'll tell you what what's
2:35:43 what's really interesting about that if
2:35:45 meta open sources actually this is I
2:35:49 I've I've been trying to think about
2:35:50 meta's endgame with open sourcing all
2:35:53 their AI
2:35:58 stuff and it might have to do with them
2:36:01 not getting trapped in regulation
2:36:05 around around anti-competitive
2:36:11 practices huh that's really fascinating
2:36:14 all right meta open AI project Mark
2:36:17 Zuckerberg announced meta's plan to
2:36:19 build and release open- Source
2:36:21 artificial a AGI artificial general
2:36:24 intelligence making it freely available
2:36:26 to the public and this is so what's Okay
2:36:30 I I mean this is a big deal on on a
2:36:31 whole lot of levels right it's
2:36:33 Zuckerberg you know fully embracing now
2:36:35 that there it's not about the metaverse
2:36:38 it's about Ai and it's about
2:36:40 AGI and this is a direct competition
2:36:43 this is this is a direct response
2:36:47 to Sam mman
2:36:49 saying he's not going to open source AGI
2:36:53 that it's too important to open source
2:36:55 he's going to take open AI to a
2:36:57 for-profit model which is the thing that
2:36:59 pissed off Elon Musk and made him Huff
2:37:01 out of
2:37:02 there so if Elon Musk keeps his
2:37:07 word and open sources that [ __ ] and
2:37:10 quite frankly um you know musk has op-
2:37:14 sourced most of his patents and most of
2:37:16 his companies or a lot of them so I
2:37:19 think that's a possibility and then if
2:37:21 meta is going to open- Source their AGI
2:37:25 stuff that's that's a huge [ __ ]
2:37:30 deal the initiative is aimed at
2:37:32 developing AI that matches or surpasses
2:37:35 human intelligence in nearly all aspects
2:37:38 in nearly all aspects so
2:37:41 imagine an AI that can do your job
2:37:44 better than you not as good as
2:37:46 you surpasses human intelligence in
2:37:50 nearly all aspects reasoning
2:37:53 execution wow Samsung Galaxy Galaxy's S
2:37:58 24's AI Focus yeah so if you haven't
2:38:00 seen the Samsung keynote from CES or
2:38:04 they did a keynote or they did a a
2:38:06 launch right after
2:38:08 CES um unveiling the s24
2:38:11 smartphone um it does realtime trans
2:38:16 ation it does um they created a new
2:38:20 thing called Circle to search where you
2:38:23 can you just tap and hold anywhere on
2:38:25 the screen and you can squiggle over an
2:38:27 object or Circle an object and it'll
2:38:29 isolate it and go search on it it's
2:38:31 pretty pretty
2:38:32 wild T Hub and UK exchange AI program T
2:38:37 Hub in collaboration with the UK's
2:38:39 government UK India emerging Tech
2:38:41 Exchange program with an E because
2:38:44 they're British
2:38:46 has selected 10
2:38:49 startups can I has selected 10 startups
2:38:52 to lead advancements in Ai and
2:38:54 semiconductor innovation in India the
2:38:57 partnership aims at faster knowledge
2:38:58 sharing and mentorship opportunities
2:39:00 very
2:39:02 cool yeah those are the biggies those
2:39:04 are some
2:39:06 biggies very cool thank you Suzanne for
2:39:09 sharing
2:39:15 that
2:39:19 let the cult begin AI learning lab
2:39:21 sounds cool thank
2:39:26 you will work for blantons I will
2:39:29 totally work for blantons that shit's so
2:39:31 hard to get and so [ __ ]
2:39:37 tasty time to jump on the AI learning
2:39:40 lab train chain train Jesus time to go
2:39:44 time to go people
2:39:47 AI learning lab cult member diploma
2:39:49 that's
2:39:52 good diploma designer someone made a GPT
2:39:56 Sherry Dean nice very
2:39:59 [Laughter]
2:40:02 good oh my God yeah chat GPT 5 that's
2:40:05 really
2:40:06 funny just blasting everything out all
2:40:10 right
2:40:11 everyone awesome awesome awesome all
2:40:14 right well I hope you had fun tonight I
2:40:16 know there's a lot of people in
2:40:17 here my boss wants to spend an afternoon
2:40:20 learning AI That's
2:40:22 cool digital building blocks she said
2:40:30 no man digital building blocks you've
2:40:32 got such opportunity right there that's
2:40:34 that's super cool Danielle 30 minute
2:40:36 goodbye
2:40:40 commences it's true it's true I wish I
2:40:43 could quit
2:40:45 you
2:40:50 [Music]
2:41:01 Clint Copperhead calling everyone to
2:41:03 order thank you
2:41:11 Clint I put nothing up today Joker you
2:41:14 didn't launch anything today come on
2:41:17 dude send us out with a tune let's see
2:41:21 if if champy wants
2:41:23 to wants to get a little something going
2:41:25 what tune what tune what
2:41:33 [Music]
2:41:44 tune
2:41:47 let us be lovers we marry our fortunes
2:41:53 together I've got some real estate here
2:41:56 in my
2:41:57 [Music]
2:42:05 [Music]
2:42:14 bag
2:42:17 [Music]
2:42:23 cute that's a cute doggy he's a little
2:42:25 sleepy I think I just woke him up from a
2:42:27 nap he was
2:42:28 [Music]
2:42:31 like today was re-energizing and
2:42:34 inspiring thank you oh thank you very
2:42:36 much Don Smith I appreciate
2:42:40 that
2:42:42 [Applause]
2:42:44 oh yeah this was this
2:42:48 was I'm I'm getting I'm getting
2:43:17 I've got these conversations going I've
2:43:19 got like the personal stuff I'm trying
2:43:21 to learn about
2:43:23 Ai and it's just like it's it's all just
2:43:26 like a swirling soup like it's like I I
2:43:28 feel like that you know the dude in the
2:43:32 in the in the inner tube I feel like
2:43:36 that thank you for
2:43:38 bringing bringing so to the Forefront um
2:43:42 I knew nothing about Ai and so scared of
2:43:45 it
2:43:47 I am now educated um awesome Chris and
2:43:51 and
2:43:54 it's that's my hope is that I don't
2:43:57 frankly give a [ __ ] if people love AI or
2:44:01 hate AI so long as they know AI like
2:44:06 like understand what it
2:44:08 is and the only way to understand it
2:44:11 right now is to do it you you literally
2:44:13 cannot explain this [ __ ] to people
2:44:17 you can't explain them into having this
2:44:23 moment but if you show them what it does
2:44:26 in a way that's relevant to them they
2:44:29 have that
2:44:31 moment and like once you have that
2:44:33 moment about this you can't unave
2:44:37 it and then I think you can
2:44:41 choose like am I all in am I [ __ ] all
2:44:44 out am I somewhere in between most
2:44:47 people I know are just trying to figure
2:44:49 out where they are in the spectrum of
2:44:52 holy [ __ ] this is amazing and holy [ __ ]
2:44:54 what the [ __ ] is
2:44:58 happening and I think that's the
2:44:59 appropriate place to be if if if this
2:45:05 chaos is what we're already in and it's
2:45:10 accelerating like honest to God these
2:45:13 tools right now are not
2:45:17 they're they ain't
2:45:19 great and they're
2:45:22 profoundly
2:45:26 powerful so what are they going to be
2:45:28 when they're profoundly powerful and
2:45:30 great and what if that happens this
2:45:37 year what if by September
2:45:42 2024 these things don't make mistakes or
2:45:45 make very few of them or can reason or
2:45:50 can take action on your behalf or can do
2:45:52 your job better than you do fully your
2:45:56 entire job better than you do including
2:45:58 client Communications including doing
2:46:01 what you're doing including writing up
2:46:02 the
2:46:05 reports what's your
2:46:09 value how do you retain your
2:46:12 value when this thing can do what you do
2:46:15 better than you do it better have a good
2:46:18 [ __ ] relationship with your the
2:46:20 people in your
2:46:23 company and be educated about this
2:46:28 stuff
2:46:31 uh I will EAD a hat if it's done in
2:46:33 September it's not going to be done in
2:46:34 September pay but I think what we'll see
2:46:36 by September
2:46:40 Pate I think we'll see by
2:46:43 September some version of like the
2:46:47 beginnings of
2:46:49 it right and what I think could be
2:46:51 really interesting Pate is it could come
2:46:53 from the open source Community it'll be
2:46:56 it'll be curious to see if if llama 3
2:46:59 comes out in 2024 so if you've got llama
2:47:02 3 open
2:47:03 sourced you have GPT 5 and you have
2:47:06 Gemini Ultra I mean you know more about
2:47:08 Gemini Ultra than we do but but you know
2:47:10 assuming it's some version of what they
2:47:13 showed you know it's at least GPT
2:47:16 quality but if you have gbt 5 Gemini
2:47:18 Ultra and llama 3 op Source in
2:47:23 2024 then you're going to
2:47:26 have you know some capabilities in there
2:47:29 that that are going to be the hints of
2:47:30 what's
2:47:32 coming so I I think we don't get it in
2:47:36 2024 but I think we we get to touch
2:47:39 technology that will become a AGI if if
2:47:42 it's not AGI mid Journey 1 to Mid
2:47:44 Journey 6 is a a good example of
2:47:46 exponential growth yeah exactly go look
2:47:48 at the images that were being generated
2:47:50 18 months ago or or just go into mid
2:47:54 journey and and um people have done this
2:47:57 on Twitter just go on Twitter and and
2:47:59 look at people who take the same prompt
2:48:02 and they run it through mid Journey 1 2
2:48:04 3 4 5 and six and just look at that
2:48:06 progression in 18 months or whatever it
2:48:09 was two years and then assume every
2:48:12 other AI tool is going to get that that
2:48:15 much better at the same speed or faster
2:48:19 that's what we're in the middle of right
2:48:20 now we are all valued we need a new
2:48:22 system well we're going to get a new
2:48:23 system and we'll see where our value is
2:48:26 we'll see where our values are uh
2:48:28 sarin
2:48:30 um I think the value of relationships
2:48:33 goes up dramatically in this new
2:48:36 environment all the Tactical execution
2:48:38 stuff becomes a
2:48:40 commodity oh yeah I want to share that
2:48:43 so that's thanks for reminding me of
2:48:44 that Mr it so Pete
2:48:47 Kaminsky so if you're not part of the AI
2:48:49 Salon go
2:48:54 here go to the
2:48:56 salon. click on the first link there
2:48:59 that's a link to the AI Salon Mighty
2:49:01 networks it's a it's a group of people
2:49:03 that are AI adventurers trying to figure
2:49:05 this stuff out read about the salon read
2:49:07 about our values make sure you resonate
2:49:09 with them and then join and then Peter
2:49:11 Kaminsky tomorrow at 8:00 a.m. Pacific
2:49:16 is
2:49:17 doing an AI 101 Open
2:49:22 session so go to the
2:49:25 AI 101 Guild in the AI Salon
2:49:31 there
2:49:35 and this is an open interactive AI 101
2:49:39 session we'll talk about using large
2:49:40 language models and image generators
2:49:42 please see the comment below with
2:49:43 questions Okay so
2:49:45 so Peter Kaminsky is doing um a like if
2:49:49 you're just getting started with this go
2:49:51 hang out with Peter's he's an amazing
2:49:54 man he's very very underspoken very very
2:49:58 patient and he's incredibly passionate
2:50:00 about helping people get up to speed
2:50:02 with AI on all sorts of Technologies he
2:50:05 can run you deep down geeky rabbit holes
2:50:08 or you know just get you started so it's
2:50:11 a it's a Thing Worth
2:50:14 um it's an event worth participating in
2:50:17 so it's tomorrow
2:50:18 morning all
2:50:21 right chat GPT has three Easter eggs
2:50:24 let's see if anyone can find them or not
2:50:26 oh interesting Spike
2:50:28 Jones I didn't hear about the Easter
2:50:31 eggs it's not surprising to me thank you
2:50:33 Kyle thank you Danielle I appreciate
2:50:35 that so thank you to all my mods thank
2:50:38 you to the Irregulars those are the
2:50:39 people that show up here night after
2:50:40 night after night thank you to my
2:50:42 subscribers um please follow this
2:50:44 channel Channel please share this
2:50:47 Channel please feel free to buy the
2:50:51 video series underhyped if you want to
2:50:53 learn more about this AI stuff and why I
2:50:54 think it's underhyped
2:50:56 [Laughter]
2:50:59 um I'm PL planning on using less of my
2:51:02 phone for
2:51:04 entertainment that's cool it's been a
2:51:06 fun ride so far yeah digital building
2:51:10 BLX please keep coming back and please
2:51:11 join the AI Salon I'd love to hear more
2:51:13 about your journey please keep coming
2:51:15 back here like I I find it a total
2:51:17 [ __ ]
2:51:18 inspiration um and it's one of the
2:51:20 things we keep talking about in here
2:51:22 like learn this stuff and talk about it
2:51:24 talk about it talk about it and all
2:51:26 sorts of opportunities are going to show
2:51:28 up I you're in the perfect place right
2:51:30 now I love that you're questioning
2:51:32 everything it's good um do you know
2:51:34 anyone looking for she's there okay good
2:51:37 awesome terrific that's
2:51:39 great
2:51:41 um stay ahead of the
2:51:44 Curve
2:51:45 AIS salon. mn. yep that's the salon I
2:51:50 think the rabbit R1 is greatly under
2:51:52 hype 101 I bought one of the first
2:51:55 10,000 I am right there with you I think
2:51:58 the the rabbit R1 I think they out
2:52:00 appled
2:52:02 apple apple should have been the one
2:52:04 that rethought the app infrastruct
2:52:07 infrastructure for the for mobile phones
2:52:09 for
2:52:10 smartphones not some [ __ ] startup
2:52:15 Apple should have done that I'm in your
2:52:16 salon that's awesome that's
2:52:21 awesome um in the saloon we have a short
2:52:26 window to utilize this Tech to prep for
2:52:28 top- down forever boot of AI
2:52:31 Supremacy I'll try and do a mechanic
2:52:33 skilled stuff when I ABS when I have
2:52:35 absolutely any time that's cool why is
2:52:38 it not a lodge why Kyle the the AI the
2:52:41 AI
2:52:43 Lodge right rather than a salon well a
2:52:46 salon was about talking but Lodge is not
2:52:48 bad I ordered my swag awesome that's
2:52:51 great that supports the uh that supports
2:52:53 the community upload all the collective
2:52:55 knowledge of humanity into one single
2:52:57 system what could go wrong I know I know
2:53:00 it's what's what's good is it's the
2:53:02 collective uh output of humanity the bad
2:53:04 news is human humans can
2:53:09 suck all right let me get out of here so
2:53:12 let me let me do my little Romper Room
2:53:14 goodbye here all right 101 good to see
2:53:16 you I feel like a cowboy in a salon a
2:53:19 saloon that is nice uh V dancer thank
2:53:22 you everyone that makes this community
2:53:24 community thank you so much 101 good to
2:53:27 see you
2:53:28 Tobias have a good
2:53:31 evening Spike Jones Thank you thank you
2:53:34 thank you rabbit equals
2:53:36 cheese Joker good to see you jrc good to
2:53:39 see you Pate thanks R1 is overhyped if
2:53:42 anything I will bet you I won't bet you
2:53:45 a bottle of blantons Pate but I will bet
2:53:47 you a a a shot from a bottle of Blandon
2:53:52 that the R1 is underhyped although it
2:53:55 might not be the R1 that's the actual
2:53:57 device that is the one cuz I have a
2:53:59 feeling it's going to suck but you know
2:54:00 we'll see but a device like that I think
2:54:03 is going to is going to be a hit um I
2:54:06 feel like a cowboy in a
2:54:08 saloon um Marina she recalls Tech good
2:54:11 to see you prompts cart good to see you
2:54:12 Clint Copperhead Mr it thank you so much
2:54:15 Sherry D good to see you Rachel digital
2:54:18 Gods that's Lord digital Gods to you
2:54:21 Vicky Vicky Vicky bye see you later
2:54:25 Joker t-shirt rack good to see you
2:54:27 Amelio's wife thank you so
2:54:30 much thank you thank you thank you and
2:54:34 let's see Source Camp you're still in
2:54:35 here be Not Afraid still in here it's so
2:54:37 amazing you guys are amazing all right
2:54:39 listen happy Saturday night peace out
2:54:42 bye um I'll see you tomorrow go do all
2:54:45 the [ __ ] we talked about learn this [ __ ]
2:54:48 talk about it reinvent your company's
2:54:52 future in departments you're not a part
2:54:55 of I think that's so [ __ ] awesome
2:54:57 kick their ass
2:55:01 peace