1/16/2025 - Exploring New AI Image Tools

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Chapters

Transcript

0:00 hey buddy are you a good boy okay that's
0:03 live so let's let's give the people what
0:06 they really want countdown timer
0:24 [Music]
0:38 Together songs on the
0:41 [Music]
0:46 [Applause]
0:48 [Music]
0:57 guitar I know I know ch
1:01 oh that's not good now the monitor is
1:03 all
1:04 crooked oh my God my This I Gotta tell
1:09 you people this is if you think this is
1:11 easy running a $25 million TV studio
1:15 trying to make it look like a piece of
1:16 [ __ ] home
1:19 office this is
1:22 all there are 17 people working hard to
1:27 make it look like it's this
1:29 unprofessional
1:33 and I think we pull it off I really do I
1:36 really
1:37 think this looks
1:41 like garbage video production you know
1:45 what I'm
1:47 saying I'm a virtu outo musician and I
1:51 make it sound like
1:56 [Music]
1:58 this wait hang on Sandler Pottery posted
2:01 her first video to red note today so did
2:03 I Corey I posted oh that's the other
2:06 thing that I wanted to talk about did I
2:07 have that I got it okay yeah I posted I
2:10 did a new version of quantum Cipher from
2:12 the images we made last
2:14 night and
2:16 uh yeah I did that too my very first
2:20 video and I put I put on a Tik Tock
2:22 Refugee give me some love but I don't
2:25 think anyone's seen it yet
2:31 okay champy champy you want to
2:33 [Music]
2:52 sing s
2:55 Town wonder when things are going to
2:58 change
2:59 [Music]
3:01 dream my life
3:03 away seems these dreams turn to a bunch
3:09 CL get my nerve up but my past is
3:13 pulling me
3:19 down wondering how
3:22 long black sheet stick around
3:30 somebody told me once before he said you
3:33 can never go home again won't you
3:38 leave things to stay me away yeah from
3:43 the truth of who I am and what I
3:46 believe so thank you for his two cents
3:50 with a
3:50 handshake and some sympathy
3:54 yeah packed up my blue
3:57 jeans and headed for this bit
4:01 C of my
4:05 freedom
4:07 by sheep to the black sheep of the
4:12 family
4:16 bye means so very much to me
4:20 [Music]
4:22 yeah
4:25 she to my friends and my family
4:29 [Music]
4:31 champy are we
4:32 [Music]
4:37 singing going off set my
4:41 [Music]
4:42 soul set it
4:48 [Music]
4:57 free oh good lord God
5:00 people how is everybody what is
5:04 happening happy Thursday
5:06 night there's a lot going on there's a
5:09 lot going on there's there is a lot
5:12 going on you can make money
5:14 with I don't know if you knew this
5:16 there's a lot of people telling you you
5:18 can make money with chat
5:19 jpt I'm starting to believe it's true I
5:23 I haven't done it
5:27 yet my audio didn't SN I edited in the
5:30 Tik Tok
5:32 [Music]
5:40 [Music]
5:43 app Vicky Baptist is in and out she's
5:46 working on a website she'll be back
5:50 in if you're new here my name is Kyle
5:53 Shannon this is the AI learning lab
5:55 we've got some folks on the Tik Tock we
5:58 got some folks on the
6:00 what is this the uh on the uh the
6:04 Youtube We got some some people on the
6:06 LinkedIn we got some other people on the
6:09 uh what do they call that the X you know
6:13 it's funny I you
6:17 know some people are going to tell me
6:19 well this is this is obvious and
6:21 everybody knows it they used to call the
6:25 X the
6:27 Twitter and you used to tweet over there
6:30 you didn't post you
6:32 tweeted you know the other thing you did
6:34 you did hashtags they taught us for 20
6:37 years you got to use your hashtags you
6:39 gotta use your
6:40 hashtags and then one day Elon Musk is
6:43 like yeah I don't like hashtags I don't
6:45 like how they look don't do that anymore
6:47 so now because I'm old fat and
6:52 cognitively
6:54 challenged I still put hashtags and [ __ ]
6:57 because I'm like well it can't hurt it
6:58 hurts it hurts no one sees my
7:04 [ __ ] so don't use hashtags all you
7:07 people that think it's still called
7:09 Twitter [ __ ]
7:12 weirdos you got to get with the new
7:15 times I think that's what this Channel's
7:17 about getting with the new
7:19 [Music]
7:22 times we don't use hashtags on Twitter
7:25 anymore Lori K I know no we don't I got
7:28 I got reprimanded to today from from the
7:31 woman that heads up the uh the Luma Labs
7:34 Creator program I'm like nobody's seeing
7:37 the cool video I put out and she's like
7:38 you used hashtags you big dumb
7:43 dummy that I thought that was a little
7:45 much I didn't think she needed to call
7:46 me
7:49 names but she's
7:52 right I'm
7:55 rotund and I'm a bit of a dummy she's
7:58 not wrong this is why it hurts you
8:03 understand all
8:05 [Music]
8:15 right you can't see tone and
8:18 text she didn't call me a big dumb
8:21 [Music]
8:22 dummy old fat and cognitively challenged
8:26 it's gonna be my next b band name
8:28 exactly like like there's no like
8:33 like why try to deny it we're old people
8:36 if you're a gen
8:38 xer it's
8:40 it's it's getting to be time it's
8:42 getting to be time if you're afraid of
8:45 doing [ __ ] it's time to knock that [ __ ]
8:50 off I didn't go to school I don't have
8:52 an education I didn't
8:55 buy you gotta knock that [ __ ] off and
9:00 get AI curious AI
9:02 [Music]
9:04 adventurous it will free you it will set
9:06 you free my brethren
9:10 Hallelujah the S shooting TI does it
9:14 work at the D
9:16 Queen does it listen to rock and roll
9:20 does it feed the me singing
9:24 Hallelujah
9:26 Hallelujah Hallelujah
9:33 huah what about
9:35 Jesus didn't he tune his guitar
9:39 [Laughter]
9:41 [Music]
9:51 [Music]
9:55 occasionally what about Jesus didn't he
9:58 do it too
10:00 yeah hang out with the prostitutes have
10:04 a drink or
10:05 two power of example my mom said it and
10:09 I heard she said one o action beats a
10:12 ton of
10:13 words singing
10:16 Hallelujah mama said there would be
10:18 Angels
10:21 Hallelujah mama said that would be son
10:24 yeah um okay so so here's the closest I
10:29 get to religion
10:31 [Music]
10:33 um if you're telling yourself stories
10:36 like you're not good enough you're not
10:37 smart enough you're not talented enough
10:39 you're not skilled enough knock that
10:42 [ __ ]
10:46 off you know what's
10:48 [Music]
10:53 funny I think it was I think it was
10:55 David Shapiro oh by the way David
10:56 Shapiro unblocked me so I I assume that
10:59 someone on this channel said something
11:02 to him he didn't say anything to me I
11:03 just was not blocked I was blocked for
11:05 two days and now I'm unblocked so if any
11:07 of you did that thank you and if any of
11:10 you didn't and he just unblocked me
11:12 because he realized oh my goodness this
11:14 is a supporter I've
11:16 [Music]
11:23 blocked um someone posted today on X
11:28 that um
11:32 like what they were really upset about
11:34 with AI getting smarter was that AI was
11:36 going to be smarter than them and and
11:38 that that felt like it it it made them
11:40 feel less than and I think I think this
11:43 is something we're going to all have to
11:44 confront I sort of went through mine
11:46 with when 01 preview came out I realized
11:50 that it I didn't know how to ask it to
11:53 do
11:53 [Laughter]
11:56 [ __ ] um I think David set up an auto
11:59 responder bot on X oh that's
12:01 interesting
12:03 um oh wait okay smash that like button
12:07 oh you know what Vicky you keep doing
12:10 this thing and I keep forgetting to put
12:12 it up here on screen so yes thank you
12:15 for doing that and then I will try to
12:19 look over here and do it anyway this guy
12:22 was basically talking about you
12:24 know what do we do when the machines are
12:27 smarter than us and and Shapiro were
12:29 response to it and i' I've seen him
12:31 write this before but I think it's the
12:33 first time it really registered with me
12:36 is in the Industrial Age we replaced our
12:40 muscles and our horses muscles with
12:44 machines and those machines got
12:46 significantly stronger than we did
12:49 right we've got tractors and you know
12:53 dump trucks that can haul you
12:56 know hundreds thousands of tons
13:00 and can lift crazy amounts of things
13:02 we've got cranes and we've got you know
13:04 all this
13:06 stuff and yeah there are some places
13:08 where muscles are
13:10 good but we also have machines that that
13:12 are significantly better than we are and
13:15 and that was a reckoning right there we
13:17 we went through that process of of that
13:20 transition but it's so far in the past
13:23 now that it's like yeah yeah we have
13:25 machines well AI is that for your brain
13:32 like how cool is it that we have the
13:35 cognitive equivalent of a back ho that
13:39 can just [ __ ] reach out into the
13:41 knowledge
13:44 base you know scrape up a bunch of
13:46 knowledge and drop it in a pile on your
13:51 lap so if you've got in your head this
13:55 idea that you're not enough you're not
13:56 smart enough you're not educated enough
13:58 you're not talented [ __ ] it [ __ ]
14:01 that lean into this stuff and lean into
14:05 it
14:06 like what if I could do anything and
14:10 especially if you're like my
14:12 age 59 I'll be 60 in May 60 [ __ ]
14:17 years old you think that sounds
14:23 fun I mean I'm glad to be here
14:30 [Music]
14:36 um so so that's that so first thing is
14:42 if you're new here and you're and you're
14:43 kind of on the sidelines with AI this is
14:45 the this is the wrong time to be a
14:48 skeptic this is the wrong time to let
14:51 fear lead
14:52 you right now there's a couple of things
14:56 I think are critical one is
14:58 community I think you need to get your
15:00 ass in a community with people that
15:02 are Ai optimists and AI adventurers
15:06 that's one there's lot there's a handful
15:08 of them out there that I think are good
15:11 I think I'm I'm biased I think the salon
15:14 is one of the best if you go to the the
15:17 salon. A and click on the button that
15:19 says join our
15:20 community you go in there and there's a
15:23 bunch of people in
15:25 there that are really smart and really
15:28 good at this say I
15:31 stuff and they're also
15:33 humble and generous and
15:39 empathetic and they're starting to do
15:41 some really remarkable
15:46 things so go do that go join that
15:50 doesn't cost
15:53 anything all right so
16:00 we're like ants milking an AI
16:05 aphid we are we are it's exactly what
16:09 it's like it's exactly what it's
16:13 like they're also some folks like me
16:16 that do two things yeah and there's
16:18 going to be some folks that like you
16:20 that do 10 Things I mean I am right now
16:24 you know I'm running storyvine I'm
16:27 running the AI Salon I do these Tik Tok
16:29 channels I'm in the middle of writing a
16:31 musical in between that I take [ __ ] that
16:35 I do in here and I turn it into little
16:37 sub project side
16:44 projects I'm Chief generative officer of
16:47 content Evolution we're putting together
16:51 offerings
16:52 and I've written two books in the past
16:56 six
16:57 months it's like
17:01 now I'm a particular kind of guy like
17:04 when I put my mind to something I'm just
17:05 like [ __ ] it we're
17:08 going so if you've got some of that
17:11 drive in you if you've got some of that
17:13 Adventure in you Now's the Time to do
17:19 it there's I want to I wanted to do
17:21 something
17:25 tonight plus champy has to be
17:27 entertained by your musical ability yeah
17:31 yeah I exist on this planet to entertain
17:35 dogs how do you keep the YouTube chat on
17:38 your screen Kyle don't want to derail I
17:42 don't
17:43 know I think there's a in the right hand
17:48 side somewhere down there is a thing
17:51 that that gives you the panel if anyone
17:54 knows how to do that uh pop that up on
17:56 screen for for Corey
18:02 um all right I W to I want to I want I
18:06 want to do something together because I
18:07 was thinking about this
18:09 earlier
18:14 and and I didn't know the answer to it
18:17 and then of course my
18:20 new mode kicked in don't use your brain
18:24 don't think about it you have you have
18:26 something for that
18:31 all right so here's what we're going to
18:37 do what is the
18:42 opposite
18:44 of
18:47 the I'll just put I'll just I don't even
18:49 need to call it
18:54 rearranging the deck
18:57 chairs on the ti
19:01 Titanic
19:03 where we are all keeping
19:09 busy
19:11 waiting for something really good to
19:16 happen and I know with all the shitty
19:19 stuff going on in the world it doesn't
19:20 feel like this right now
19:23 but setting the table for the feast okay
19:26 that's boring is there no wait hang
19:30 on is there
19:34 no
19:36 equivalent
19:39 saying three question
19:43 marks there does not seem to be a
19:45 recognized saying that captures the
19:47 opposite of rearranging the deck chairs
19:49 on the Titanic we are a [ __ ]
19:51 depressing bunch of
19:53 animals
19:56 really we've had since what wait when
19:59 was the Titanic when did it sink 1923
20:02 when did
20:04 it it
20:11 sink 1912 we've had since
20:15 1912 to have some other event happen
20:17 that was so
20:19 good so
20:22 profound that we compare it to the
20:24 rearranging the deck chairs on the
20:25 Titanic no we're just we're just a
20:28 fatalistic depressing bunch of anxiety
20:32 ridden
20:34 freaks all
20:39 right
20:43 seriously we're just sitting around
20:45 making music videos until open AI drops
20:49 AGI is that that's the saying we're it
20:52 now we have to come up with the saying
20:54 more than a hundred years
20:56 later guilty we are
21:04 try letting 01 have a go all right let's
21:07 let's
21:08 do um I'll I'll do this with this
21:13 thing I want you to think long and deep
21:16 and I want you to dig into your recesses
21:21 of any events and any news articles and
21:27 any popular
21:29 social media or television
21:33 or anything like that where there could
21:36 have been a
21:39 saying based on some good thing that was
21:44 pending where people are just keeping
21:46 busy please find me
21:50 something all
21:53 right guilty
22:03 [Music]
22:16 below you'll find a few real world world
22:19 pop culture moments where people
22:21 collectively kept busy anticipation of
22:23 better
22:24 outcomes pandemic pandemic quarantine
22:27 Hobbies that's interesting
22:29 [Laughter]
22:31 I'll keep knitting we're sitting around
22:34 knitting sweaters until we can leave the
22:35 house that's a pretty good
22:42 one I like that
22:47 one stress baking during the election
22:50 all right I like
22:53 that treading water during the Hollywood
22:56 writers strike so this is all it's
22:58 interesting these are all waiting for
23:00 catastrophes to end quasi productive
23:05 escapism and economic downturns okay
23:08 yeah well there's no single
23:12 catchphrase it's instantly recognized as
23:15 feudal gesture before the disaster the
23:18 opposite we're keeping busy while
23:20 awaiting something good tends to be more
23:22 diffuse and less
23:24 pointed so it doesn't lock down as a
23:26 single iconic phrase
23:32 let me see and what does this say about
23:36 people that we've had more than a
23:39 hundred
23:43 years to find some
23:47 hope in this insane world we live in and
23:51 yet we
23:56 haven't this is more interesting than I
23:58 thought it was would be I can't believe
24:00 there's not a saying I thought well I'm
24:02 just a dumb Dum that I can't negativity
24:05 bias psychologically humans are wired to
24:08 notice and remember negative events
24:10 right that's our fight or flight that's
24:12 our modern anxiety we think we're being
24:14 chased by tigers and it's just that
24:16 David Shapiro blocked us and we're like
24:18 oh my God I'm gonna
24:21 [Laughter]
24:26 die oh
24:30 not sure we want to call this period
24:31 quarantine
24:33 Hobbies but it sounds like it might just
24:36 sitting around knitting sweaters until I
24:38 can leave the
24:40 house drama captures attention all right
24:43 Shand for complex situations polishing
24:47 brass on a sinking ship fiddling while
24:48 Rome Burns context is key people AR wait
24:52 oh when people are collectively hopeful
24:55 say waiting for vaccines during a
24:57 pandemic or expecting an economic upturn
25:00 there's usually a multitude of small
25:03 private actions rather than one
25:05 cataclysmic or iconic event
25:09 fascinating well I think we're about to
25:13 experience the the opposite of the
25:16 Titanic now is there risk that it could
25:19 be bad too yeah there is
25:23 but
25:25 um let's do open AI
25:29 researcher there is a
25:33 lot
25:35 oops there is a lot of chatter on the
25:38 old Twitter right
25:40 now oh we're gonna we're gonna go play
25:42 with that thing too that thing's really
25:44 cool and it's it was not easy to figure
25:46 out so I'm gonna give you a [ __ ] gift
25:50 tonight boy and girl Brandon
25:57 tid he's up on the
26:00 Twitter oh wait did I search for
26:02 something I didn't Jesus [ __ ]
26:11 add okay so the open AI researcher GW GW
26:17 RN just drop the latest essay on open Ai
26:21 0304 and
26:23 05 okay okay
26:27 okay open AI may have chosen to keep its
26:31 01 pro model private using its
26:34 computational resources to train a more
26:37 advanced model like 03 so basically they
26:40 used 01 Pro to create synthetic data to
26:43 create a more powerful version and
26:45 that's 03 and that's the thing that
26:47 we're we're probably going to get 03
26:51 mini any day now by the end of the
26:56 month open AI May believe believe they
26:59 have achieved a breakthrough in AI
27:01 development and are on the path to Super
27:05 intelligence so this is last year right
27:08 around this
27:09 time ilas sver took
27:13 off left open
27:15 Ai and this was you know back whatever
27:19 it was three months ago a year ago two
27:22 months
27:24 ago uh they tried to fire Sam
27:27 Alman and ilot was at the head of that
27:32 line and everyone said what did ilas see
27:36 and Ilia left and went and went and
27:38 started his own company called wait for
27:42 it you know this you know the answer
27:44 safe safe super
27:47 [Music]
27:50 intelligence so if they're now starting
27:53 to talk about whatever's going on there
27:55 it makes sense that their their head
27:57 researcher saw it a year
28:01 ago um the goal is develop to develop
28:04 superhuman AI uh there's also efficient
28:06 to run similar what was accomplished
28:08 with Alpha gozero inference time okay so
28:10 that's that's those are some of the
28:12 things there are some other posts here
28:14 all right here's David
28:17 Shapiro we're back in good graces I
28:19 think I can talk about what he said
28:24 here back in good graces he doesn't even
28:26 know who I am all right
28:30 when a top researcher at openai drops a
28:32 tweet like this all right so here's what
28:34 the Tweet
28:37 is let me make it bigger so you can see
28:40 over there on the Twitter you can see
28:41 that a little probably not but whatever
28:43 get glasses you old people you old
28:49 farts no somebody's birthday happy
28:52 birthday Firefly very
28:54 nice the tweet from Jason way Jason
29:01 is AI researcher at open aai I think he
29:04 might have been on one of the
29:06 videos magic is what happens when
29:10 Unstoppable RL optimization
29:13 algorithm powered by sufficient
29:16 sufficient
29:19 compute meets an unhackable RL
29:23 environment all right so you're like
29:26 wait Kyle what the [ __ ] does that mean
29:29 we don't need me to explain that we can
29:30 have David explain
29:33 it okay when a top researcher at open AI
29:37 drops a tweet like this you'd better
29:38 believe it's worth
29:40 unpacking Jason's got the inside track
29:42 on what's cooking in one of the world's
29:44 Premier AI Labs he's telling us
29:45 something fascinating here in pure nerd
29:49 speak so uh if pate's on here Pate is
29:52 going to absolutely yell at me because
29:54 this is all this is all chat TMZ
29:57 speculation let's let's break this down
29:59 for everyone who doesn't speak quantum
30:01 mechanics before breakfast that RL
30:03 optimization bit open AI cracked the
30:06 code on bootstrapping machine reasoning
30:10 think qar and strawberry those
30:12 strawberry was a code name for the thing
30:14 that's 01 qar was this sort of game
30:17 reasoning engine um think qar and
30:20 strawberry though that's practically
30:23 ancient history in AI time now they've
30:25 figured out how to make machines teach
30:28 them
30:29 elves and they're pushing that
30:31 capability to its absolute limits now
30:35 there's a part of you that's like well
30:37 that sounds [ __ ] terrifying and
30:39 there's there's sort of the Sci-Fi
30:41 version of this where it absolutely is
30:43 [ __ ] terrifying but they they the
30:45 unhackable part um now the unhackable RL
30:49 environment is where we have to read
30:51 between the lines we know that they're
30:52 using what what they called unaligned
30:55 models in this process before anyone
30:58 sites starts having Skynet nightmares
31:01 unaligned doesn't mean evil right this
31:04 is where some of the Sci-Fi stuff or
31:06 some of the doomers that they're sort of
31:09 assuming that these machines have evil
31:12 intent they don't it just means AI gets
31:15 to solve problems without training
31:16 wheels it's pure problem solving
31:19 potential Unleashed okay you can't just
31:22 let this kind of raw computational power
31:24 run in the wild they've got it wrapped
31:27 in layers of supervis visor models and
31:29 safety architectures this is something
31:31 that David knows a lot about it's this
31:33 is stuff he's built it's like having
31:35 your most brilliant but slightly
31:37 unhinged Engineers you know the type
31:40 working in a special lab where they
31:42 can't accidentally terrify the interns
31:44 or blow up the building okay so they've
31:46 got these little safe sandboxes where
31:49 they take unaligned Ai and just [ __ ]
31:52 turn it loose all that computational
31:55 horsepower is like a fusion reactor
31:57 waiting to light up you don't just FL
32:00 flip a switch and hope for the best you
32:02 build containment systems fail safes
32:04 monitoring but when you get everything
32:06 lined up just right and hit ignition
32:09 pure magic it's like watching those
32:12 Raptor engines Roar to life on the test
32:13 stand raw power perfectly controlled
32:16 ready to take us to the Stars this isn't
32:18 just another step forward this is open
32:20 AI telling us they've built something
32:24 extraordinary and this and they're just
32:26 getting started
32:29 I mean that's kind of some holy [ __ ] for
32:31 me you
32:34 know all right let's see what you all
32:36 saying here is
32:38 everybody hating
32:40 me maybe something related to waiting
32:42 for the moon landing yeah that's
32:44 actually not bad archetypal
32:47 architect
32:49 yeah yeah we're we're we're uh making
32:52 sandwiches at the P picnic waiting for
32:55 uh for man to walk on the moon or
32:57 something like that
32:59 raising the Titanic no no it doesn't it
33:04 won't float anymore um what's your
33:07 opinion on the purpose of life streamer
33:10 uh I don't know life
33:12 streamer Gary Marcus said that scaling
33:15 is dead I know G Gary Marcus can bite my
33:19 butt that [ __ ] I I just I can't even
33:23 imagine like having dinner with him much
33:25 less living with him he's so depressing
33:29 he's just built his brand around
33:30 [ __ ] all over
33:33 everything which you know maybe he's
33:35 trapped in that I don't know it's just
33:37 [ __ ]
33:39 depressing
33:44 um let me see there was one other one
33:46 and just good to remind people the
33:48 biggest
33:50 [Music]
33:58 doing more math puzzles lately out of
34:01 fear that they won't feel as satisfying
34:03 in the future there's another
34:08 one chess and go became more fun after
34:11 AI surpassed us see this is the thing
34:13 this is the thing when when big blue
34:17 beat Gary Casper off all the doomers all
34:21 the Gary Marcus's of the world were like
34:22 chess is over we'll never play chess
34:25 again we're not going to sit around
34:26 watching AI play Ai and guess what we
34:29 don't we don't sit around watching AI
34:32 play AI you know what we do we sit
34:34 around watching humans playing chess
34:38 because we now know how [ __ ] hard it
34:40 is it it like it ra it elevated the the
34:43 profile of the game and it gave us a
34:45 hunger for that authentic experience I
34:47 don't I think I think we're going to see
34:49 that in every single domain where AI you
34:53 know exceeds our capability there'll be
34:55 something that we do is the thing that
34:57 Ah that's what we really like that's the
34:58 essence of that thing and AI can go off
35:01 and do whatever the [ __ ] it
35:03 does but back to this
35:05 thing if you've got in your head I can't
35:08 do this I can't do that I'm not capable
35:10 enough I'm
35:14 not get curious about Ai and start
35:17 rearranging the deck chairs on the super
35:23 [Music]
35:24 yacht Drew's AI Creations Kyle FYI
35:27 upload a video or song MP4 to chat GPT
35:31 and it can tweak the visuals and audio
35:34 and send you back a polished version
35:36 sometimes it's pure magic Wow that's
35:38 kind of
35:39 cool polish the videos how like oh like
35:42 like change it from color to black and
35:43 white or or make it surreal oh that's
35:47 kind of cool yep I just came across it a
35:49 couple of days ago yeah I I mean so it's
35:52 that's using um that's using Code
35:55 interpreter right so it's writing a
35:57 python
35:58 it's probably got access to python
36:00 libraries it's probably got access to
36:02 like FFM Peg or something like that
36:04 where where it can just go manipulate
36:07 those files that's that's a cool idea
36:08 maybe I'll play with that that's super
36:11 cool um all right what's going on over
36:13 here in the Twitter anybody I feel
36:15 called out yeah listen Daisy May one of
36:19 the biggest things we did when we first
36:20 started the AI
36:24 Salon one of my
36:26 missions was
36:29 so the reason I started the AI Salon is
36:33 I was like okay chat
36:35 GPT
36:37 represents an interface for AI and
36:40 machine learning that doesn't require
36:42 you to be an engineer right it's AI for
36:45 the rest of
36:47 us
36:55 and when we and and so the AI and it's
36:58 like that's like
37:00 98.5% of people are not Engineers right
37:04 so it it is the vast majority of human
37:07 beings are not
37:08 programmers so while AI was all exciting
37:11 for all the years and specialized Ai and
37:13 vertical Ai and domain specific AI was
37:16 all all exciting chat jpt is the first
37:19 thing that kind of does for AI and
37:21 machine machine learning what the
37:23 worldwide web did for the internet you
37:25 could like click on it you could click
37:26 on hyperlinks and jump from server to
37:28 server that's what chat GPT is for AI
37:31 and machine learning you just put in
37:33 words and it does magical [ __ ] math
37:37 magical so when we first started the
37:42 salon to a person including myself what
37:46 I noticed was when people introduced
37:48 themselves or when they presented things
37:51 they
37:53 apologized oh well I'm just a I'm just a
37:57 you
37:58 I'm just a lowly storage guy you know
38:00 Jim Rosser you know you know I you know
38:03 I'm just I'm just this I'm just that
38:06 there was there was all these apologies
38:08 I'm not the smartest person in the
38:10 room and then that person would then
38:13 proceed to show the rest of us something
38:16 that blew our [ __ ]
38:18 minds not because what they did was so
38:22 remarkable but because what they did was
38:25 how they saw the world and how they used
38:28 Ai and we looked at it and said huh I
38:32 never would have thought about using it
38:34 that
38:36 way right I remember Corey Sandler's um
38:42 her custom GPT that made crazy glasses
38:45 frames we even talked at one point about
38:48 maybe we should start a a a a 3D printed
38:51 custom glasses company or something like
38:53 that right based on this gbt it was it
38:55 was a fun conversation for a bit
38:58 um don't [ __ ] apologize anymore don't
39:02 apologize don't apologize for not
39:03 knowing enough about
39:05 AI e even internally don't don't do
39:10 it just know that we are very very close
39:15 like very close to something happening
39:19 something
39:20 coming where the capability it's how
39:24 this is going to go is like this
39:30 open AI is going to unleash this thing
39:32 and then the open AI thing is going to
39:35 be remarkable and it's listen it's
39:37 probably going to be expensive it's
39:38 probably going to take three years for
39:39 it to turn real but whatever it's this
39:42 thing's coming but what's going to
39:43 happen is once they release it and other
39:46 researchers understand what they
39:49 did just like's happening with
39:51 everything else that they've built it's
39:53 going to be replicated very very quickly
39:56 so so this stuff's coming
39:58 really
40:01 quickly
40:08 um Ethan mullock's talking about
40:18 it we may get ASI before
40:24 gp5 so anyway all right
40:30 that's that so now I want to show you
40:33 something really
40:36 fun this is ASI
40:43 too all
40:46 [Music]
40:50 right all right
40:54 any before I do that
41:00 any any questions let me see let me see
41:03 what people are saying here all right
41:07 um I'm waiting for 03 to get access to
41:10 all the Deep Mind models oh that's
41:12 another thing I want to show you there's
41:13 there's a whole other thing that [ __ ]
41:15 came out today that you're like are you
41:16 [ __ ] kidding
41:17 me um and it's just gonna keep rolling
41:20 like that I'm waiting for three okay AI
41:23 used to study chess oh AI is used to
41:27 study chess yeah um did you see there
41:29 was I think it was in Africa
41:32 um have you been working on you and an's
41:35 classes mind setting it up uh no yes we
41:38 have in fact we had a meeting today um
41:41 Vicki's working on the curriculum she
41:42 gave us a sneak peak today it is so
41:45 [ __ ] cool it's so
41:47 good um what I'm most excited about so
41:50 if you don't know on the week between
41:52 Christmas and New Year's we did a thing
41:54 called AI festiv us AI for the rest of
41:57 us we had 34 speakers over 24 sessions
42:00 two days 12 hours each day because we
42:04 know how to good M make good life
42:06 choices and it was just a remarkable
42:08 event and a lot of people requested can
42:11 we turn this into a certification or a
42:13 training we're actually we we realized
42:16 that we can't just say certification
42:19 there are requirements for that but
42:21 Cindy [ __ ] is doing research for us
42:23 right now she she saw what what Vicki
42:27 produced today and she goes I I think
42:29 this qualifies let me do some research
42:31 so it might be a certification but even
42:33 if it's not a certification it's going
42:34 to be a training what I'm most excited
42:37 about with it is that it is independent
42:41 of tools there will be things that you
42:44 can do tool wise to you'll learn a lot
42:48 because a lot of tools were demonstrated
42:50 but it wasn't primarily what people
42:52 talked about and the curriculum that
42:54 we've put together is training for AI
42:57 Readiness and so let me pop into the
43:02 comments are you ready number4 ai.com so
43:09 if this sounds interesting to
43:11 you
43:14 um it's going to be um it's going to be
43:18 a paid course but it's going to be I
43:21 think quite reasonable it's going to be
43:24 I think we came to 297 it's going to be
43:27 just under
43:28 $300 um so if you go to are you ready
43:31 for ai.com
43:33 and let me move this closer you can
43:36 pre-register essentially that once we
43:39 have this we're targeting February 1 as
43:41 our launch
43:42 date um an and I have a lot of work to
43:45 do we have a lot of videos to make we
43:47 have a dozen videos to make at
43:50 least Vicky's got to figure out some LMS
43:54 stuff and some more curriculum stuff um
43:59 but it's it's very very
44:00 exciting um so we're targeting February
44:03 1st so go check that out
44:06 okay um thoughts on all this AI stuff
44:10 what's the URL again are
44:12 you ready so the letter r letter U ready
44:17 number four ai.com are you ready for
44:20 ai.com it's on screen here and on
44:23 YouTube congrats on the course hope it's
44:25 a success in Fe February thank you drew
44:28 Drew's AI Creations I hope you're
44:30 creating creating
44:32 [Music]
44:51 well um okay what's on my
44:54 list the opposite of the Titanic I can't
44:57 believe there's not a statement since
44:59 the
45:01 Titanic of we're waiting for the good
45:03 thing it's
45:05 amazing absolutely amazing I think the
45:08 moon landing is probably the closest
45:10 right that's the probably the closest
45:12 one where people coales around
45:15 it and like there's some Modern [ __ ]
45:17 like catching a rocket with chopsticks
45:20 which they did today they they they so
45:23 yesterday Bezos got his rocket into
45:25 orbit after a couple of years
45:28 delay and today Elon caught his booster
45:31 but blew up his his his Starship went
45:34 boom
45:35 [Laughter]
45:38 boom what did he say he did he put out a
45:41 tweet that was like um Success is Not
45:44 Guaranteed but entertainment is and he
45:46 showed a video of like all the pieces of
45:48 the of the uh the rocket coming back
45:50 into the
45:52 atmosphere what's new with Korea I'm
45:54 going to show you Korea in a second holy
45:57 [ __ ] that thing's cool
45:59 too all right
46:03 uh okay let me back this out do this so
46:08 now we're going to do a little I'm going
46:11 to show you a video so
46:14 yesterday we went into
46:18 um Luma labs they they have a new model
46:23 called um Ray
46:25 2 and their previous model was
46:27 apparently called Ray 1.6 this is Ray 2
46:30 it's out you can now play with it if
46:33 you've got access to Luma laabs dream
46:36 machine um one of the cool things about
46:39 dream machine in fact Let Me Go show uh
46:42 no I'm gonna have to change my my things
46:44 one of the cool things about dream
46:45 machine is they've got this new
46:48 interface that allows you to really
46:50 really quickly iterate or just create
46:53 lots of versions of the same thing very
46:55 very quickly and so I did that last
46:57 night and and I found there was this one
47:01 generation that we did of like a
47:03 construction worker dancing near a
47:05 Refinery that every time I replicated it
47:08 it was just really good so I thought let
47:10 me let me turn this into a video so I
47:11 made this into a video so I put this so
47:14 here's my
47:15 request here's my
47:17 request
47:20 um onx I'm Kyle Shannon go find this
47:24 post and boost it because the [ __ ]
47:25 Tik Tok algorithm
47:28 wouldn't show it to anyone I think
47:29 because I might have had a hashtag in it
47:31 I don't [ __ ] know
47:33 anyway all right so we're GNA
47:36 play we're gonna play The Vig for you
47:39 now all right you got it there it
47:44 [Music]
47:53 is I'm tangled with the beat spooky
47:56 action in the boo the Adam with a
47:57 pattern every barel burst of Truth super
47:59 position in the mission Fusion fusing my
48:01 intentions parallel in every line I'm a
48:03 prism of Dimensions mulic Antics I'm
48:06 manic with the semantics my rhms Collide
48:08 like particles Dynamic and gigantic
48:10 oscilla and dominate I'm weav Quantum
48:12 State sperse and watch the Multiverse
48:14 reciprocate I'm discreet like planks
48:16 beat energy and tight packets when I
48:18 rapid math em motion flipping Flows In
48:20 fractal E equals NC s and every letter I
48:23 write my pen ignites like antimatter
48:24 when it clashes with light quick as a
48:26 flick of a wrist I'm a lcal catalyst
48:28 atomically split in the script I'm equi
48:30 with the Mad whip flipping the tempo B
48:32 and in the mental Crescendo sending my
48:34 syllable sing through time like a sharp
48:36 new window qu Precision I'm ripping the
48:38 Rhythm I'm spitting in pris Visions I'm
48:39 shifting Dimensions with lycal
48:41 decisions accelerate leate Elevate
48:43 thought in the turbulent spin I'm the
48:45 velocity ripping apart the facade that
48:46 you certain your Brin time dilation in
48:48 Cadence I stretch the seconds I'm pacing
48:50 Heisenberg with the mic uncertainties
48:52 the foundation observer effect in effect
48:54 the second I start to speak collapse
48:55 reality potential with word that I tweak
48:58 yo my flows AFF firm spinning in lyrical
49:00 collisions every Bar's a cork spark in
49:02 the fusion of my Visions I'm a wave in a
49:04 particle unpredictable art entangled in
49:07 the cipher splitting atoms with my heart
49:09 from worm holes to portals I'm Immortal
49:10 with the schemes through the fabric of
49:12 this rap i s the threads of my dreams
49:14 dark matter in my patterns unseen but
49:16 colossal black whole soul pulling
49:18 rhythms through the gospel Double the
49:20 Trouble I'm stacking the rubble my BS of
49:21 combus speeding and weaving believe it
49:23 I'm leaving your speakers erupting I'm
49:25 the equation of Pac and erasing the
49:26 limits of sound taking the crown
49:28 breaking the bounds I'm a force you
49:29 can't slow down rapidly tapping the map
49:31 of my mind I Define every pattern in
49:33 motion b a bullet I pull it and shoot it
49:36 with ruthless devotion I'm the ignition
49:38 of friction depicting a world that is
49:39 vivid and bright fire and fury I bu the
49:42 track and a blaze at the speed
49:45 [Music]
49:47 light that
49:50 shot shifting perspectives midline like
49:52 Quantum flips in my grind infinite
49:54 chances to shine I'm the master of
49:56 SpaceTime every SS of Singularity
49:58 collapsing the infinite I'm the big bang
50:00 slang expanding my imprint Limitless so
50:02 step into the quantum where the chaos
50:04 aligns my bars of ropic logic redefining
50:06 the Divine from the smallest of
50:08 particles to the cosmos that we know
50:10 this is r at its limit Quantum flow let
50:12 it glow
50:14 boom boom how cool is that I just saw a
50:19 uh a comment on Tik Tok was this AI yes
50:22 this is AI This was um
50:27 chat GPT 40 um did the lyrics sunno V4
50:34 did the um did the music and then um
50:38 Luma lab's dream machine did all that
50:40 video footage all that video footage was
50:43 generated from nothing like it was what
50:47 was fun so last night what I
50:50 did was I I came up with a new way to
50:54 kind of
50:55 brainstorm video visual
51:02 and it was to go to this is the uh this
51:06 is the Luma Labs
51:09 interface the idea that I had was so so
51:12 see how these shots look familiar but
51:15 different they kind of look like like
51:19 that one in
51:22 particular kind of looks like the movie
51:25 Seven but like there's no
51:28 um high tension wires here and it's like
51:30 a dude that's dead here well that's
51:33 because what I did was I had
51:39 um I had chat GPT take famous movie
51:43 scenes and keep the look and feel of
51:45 them but completely change up the action
51:48 in them so that they would have a
51:50 familiar thing so one of them was this
51:52 urban dance thing and so let's see a
51:56 factory work dances erratically on an
51:58 outdoor staircase as industrial chimneys
52:02 belch smoke in the distance his figure
52:04 silhouetted I think this is from which
52:06 one's is this from this isn't from Seven
52:09 I forget what this one's
52:11 from I forget but anyway um so we so we
52:16 had these these two cool things here and
52:19 I said Ju Just make more and I it just
52:21 kept making more and they were all good
52:23 like some of these things that that uh
52:27 this model made
52:29 sucked and then what I did this morning
52:32 because again I know how to make good
52:33 life change Life Choices is I downloaded
52:38 a bunch of these clips onto my phone and
52:41 and I'm like I can probably just edit
52:42 this in something like cap cut which I
52:44 don't know how to use cap cut so I
52:46 actually used chat gbt to teach me how
52:49 to use it a little bit and then I sort
52:51 of figured it out and it it took me like
52:53 an hour mostly because I didn't know the
52:56 interface and I didn't know what I was
52:57 doing but I went and I grabbed the the
53:00 quantum Cipher song and I just Stitch
53:03 stitched a bunch of these together
53:04 picked the transitions Chang the
53:06 In-N-Out points of some of them to match
53:09 main points in the music put the
53:12 subtitles on there because I think
53:14 seeing the words because it's such a a
53:17 cool lyrically cool song was was kind of
53:20 neat so anyway yeah that was that crazy
53:24 right use Google studio yeah I listen it
53:27 was just I just wanted to get it
53:29 done like I don't I don't want to learn
53:32 new software to to put how much I hate
53:36 video editing into context I'm the CEO
53:39 of a company called storyvine which is
53:41 an automated video storytelling platform
53:44 that automates video editing because I
53:46 hate it so
53:49 much and I don't think anyone should
53:51 have to deal with it and I feel like
53:53 hallelujah we're we're coming into an
53:55 era where you're just going to be able
53:56 ble to speak [ __ ] into
53:58 existence we're actually sort of there
54:01 it's just that you have to know lots of
54:03 these tools to be able to do this stuff
54:05 so um I also saw yeah it's a little
54:07 Flash no Flash Dance wasn't the movie it
54:09 was I can I can figure out what movie it
54:11 was hang
54:13 on it's it was one with bonich Del Toro
54:18 I think um
54:45 Fight Club rooftop Reflections wait
54:48 what's this the quote of the dance is
54:53 erratically hang on
54:57 hacker
55:00 couple detective yeah so here's seven
55:03 that was the one in the
55:04 field civilians crumbling City no lone
55:10 soldier factory worker oh from
55:14 Joker yeah from Joker that's kind of
55:18 [Music]
55:21 cool
55:24 yeah there you go
55:27 so what's cool is it sort of kept the
55:29 color grading you know from from the
55:33 film and again I didn't even have to
55:35 think about it like like this was one
55:39 where I didn't really have an interest
55:41 in creating another video for Quantum
55:45 Cipher but when I had 20 or 30 of these
55:48 clips that all had some consistency to
55:51 them I'm like that that there's
55:52 something cool
55:53 there and they're all dancing so I'm
55:56 like what's the what's the hottest song
55:58 that I've ever
56:00 made it's Quantum
56:02 Cipher um quit that quit
56:10 what it wasn't No Country for Old Men
56:13 but there's another prompt that I did
56:15 that was No Country for Old Men Let me
56:17 see which one that one was
56:24 um it did Lawrence of Arabia Dunkirk
56:29 Casablanca
56:30 parasite No Country for Old Men seeing
56:33 alone stranger questions of farmer in a
56:36 sun bleach Barn let's just go make this
56:37 one so we'll go back over to Luma
56:41 labs and so basically it's literally
56:44 just copy paste make sure you're in the
56:46 right thing 21 by9 aspect ratio video
56:49 Ray to 720p
56:52 boom just vomit that [ __ ] out
56:58 there you
57:00 go oh send Joker oh
57:04 I scroll back to my thoughts of your
57:07 reference okay hang on oh I saw someone
57:10 asked a question about uh who's Kevin
57:12 Clark Kevin Clark is my um co-author on
57:16 the book collective intelligence in the
57:17 age of AI he's my senior advisor for
57:21 storyvine he and I have met every week
57:24 for 13 years um talking about Story vine
57:27 and other things um he used to run IBM's
57:30 Global brand he was the brand manager
57:32 for ThinkPad he's the one that that
57:35 basically you know put ThinkPad on the
57:37 map for IBM I think he worked there for
57:39 25 or 30 years um and uh he's just he's
57:43 the nicest guy in the world he's super
57:45 smart he's got one of those vocabularies
57:48 that you know when you have a an
57:50 education in a brain like mine you're
57:52 like uh yeah I know what that means uh
57:55 uh
58:00 um so it's good to have chat GPT when
58:02 you're talking to him you can you can
58:04 actually in real time uh you know look
58:07 up the [ __ ] he's talking about and go oh
58:09 yeah that makes
58:11 sense um let me go find Cory Sandler's
58:13 thing here ear ear
58:16 [Music]
58:23 ear uh uh
58:30 old style of Hip Hop love it thank you
58:32 very
58:33 much TK was dancing to that video
58:36 earlier khaki saw it very cool um Corey
58:43 Sandler that
58:44 Ruff
58:46 was ory ery
58:51 ory I don't know what you mean Corey
58:54 Sandler was it earlier
59:03 you're going to have to put a muscle car
59:04 in that prompt Kyle yeah I know
59:07 right so here's the No Country for Old
59:09 Men
59:13 clip that guy just disappear
59:17 watch poof
59:27 that one's almost usable you got quirky
59:31 methed out cowboy on the right but you
59:33 got you know good looking good looking
59:37 jacked cowboy on the left there there
59:40 you
59:42 go crazy right just
59:46 crazy um all right
59:51 Korea wait what else do I have to talk
59:53 about oh
59:57 Bonkers Bonkers this
1:00:04 isers spooky action in the oh you know
1:00:07 one of the things I want to do I want to
1:00:08 learn Quantum
1:00:10 Cipher well and and so many of you know
1:00:13 this but I wrote Quantum Cipher as a
1:00:16 song for Sydney my musical so the
1:00:19 actress playing Sydney is gonna have to
1:00:21 do that rap
1:00:27 oh I'm so excited we're doing a reading
1:00:29 of Sydney on February 1 in Upstate New
1:00:32 York I am so [ __ ] excited all right
1:00:35 let's do Ms
1:00:39 materials Microsoft today announced
1:00:48 released let me zoom in on these
1:00:52 things see all those
1:00:54 little mo looking things those are all
1:00:59 molecule looking
1:01:03 things Microsoft researchers today
1:01:07 introduced matter gen as in material
1:01:12 generation a model that can discover new
1:01:15 new materials tailored to specific needs
1:01:19 like efficient solar cells or CO2
1:01:21 recycling Advan uh advancing progress
1:01:24 Beyond trial and error experiment so
1:01:27 basically you tell this model what you
1:01:29 want the the the attributes of the
1:01:32 material the behavior of the material to
1:01:33 be and it'll invent it for
1:01:38 you came out
1:01:40 today so this is this is why I'm feeling
1:01:43 like like there's all this chatter about
1:01:45 [ __ ] open AI has cracked something
1:01:47 here this kind of thing happened
1:01:50 like these models are getting scary good
1:01:52 like the thing I just did where I had
1:01:54 chat GPT no all the good scenes and all
1:01:57 the good movies and reimagine them so we
1:02:00 can just have some cool looking scene
1:02:02 that has a familiarity to it but we
1:02:04 don't have to do it this is if you're a
1:02:06 material scientist or if you want to
1:02:08 create something new and Innovative
1:02:10 you've always had an idea and you're
1:02:12 always like well I should have gone to
1:02:15 school for physics and I wanted to be an
1:02:17 engineer but it didn't it fell through
1:02:21 and I've got this idea for this material
1:02:24 but I don't know any material scientists
1:02:25 and I don't have money
1:02:30 to here you go go make
1:02:35 one matter genen a generative AI tool
1:02:38 that tackles materials Discovery from a
1:02:40 different angle instead of screening the
1:02:42 candidates it directly generates novel
1:02:45 materials given prompts of the design
1:02:48 requirements for an
1:02:51 application I need a new battery
1:02:54 insulator that has the following
1:02:55 properties in the following temperatures
1:02:57 and the following conditions and it
1:02:59 invents it now can it be made I don't
1:03:02 [ __ ]
1:03:03 know it can generate materials with
1:03:06 desired chemistry mechanical electronic
1:03:08 or magnetic properties as well as
1:03:10 combinations of different constraints
1:03:13 matter gen enables a new paradigm of
1:03:15 generative AI assisted materials design
1:03:17 that also allows for efficient
1:03:19 exploration of 3D materials um Beyond
1:03:23 The Limited set of known ones
1:03:26 now Deep Mind did something similar to
1:03:28 this I don't know a year ago eight
1:03:30 months ago um I forget what theirs was
1:03:33 called but
1:03:36 um human beings have discovered a total
1:03:39 of
1:03:41 64 or
1:03:43 66,000 materials and deep mind uh did a
1:03:48 thing that that discovered um
1:03:52 340,000
1:03:54 new ones
1:03:56 stable
1:03:59 materials um so like this shit's coming
1:04:02 it's it's it's [ __ ] Bonkers anyway
1:04:05 thoughts
1:04:09 [Music]
1:04:11 questions Alpha Proto that's what it was
1:04:14 Alpha Proto Alpha Proto hey
1:04:23 dude ai ai will read screening the
1:04:27 candidates and I'll curl up in a ball I
1:04:29 know it it is Silver Fox it's this
1:04:32 shit's totally overwhelming I agree with
1:04:34 you it's totally
1:04:40 overwhelming but it's also like we get
1:04:42 to
1:04:48 experience like we get to experience way
1:04:51 faster than the Industrial Revolution
1:04:53 got to experience augmented strength
1:04:55 right
1:04:57 it you know that took I don't know most
1:05:00 of the 20th century to evolve
1:05:03 and you know if you were around in the
1:05:06 1870s you didn't get to see the really
1:05:08 cool [ __ ] like the cool [ __ ] came in the
1:05:11 30s 40s 50s right 50s the future with
1:05:15 the cars that look like spaceships
1:05:18 right we're get we're getting to live in
1:05:22 a
1:05:23 time when we're going to experience not
1:05:26 in science fiction we're going to be
1:05:28 able to play with
1:05:30 tools that are significantly
1:05:33 beyond anything we've ever experienced
1:05:36 in in terms of intelligence and
1:05:38 knowledge [ __ ]
1:05:40 Bonkers all right so
1:05:44 now that's not the right one is this the
1:05:46 right one yeah this is the right one
1:05:50 okay so I am at kore.ai
1:05:54 and K i. a has this new
1:06:00 thing where you
1:06:12 can so I'm moving around the thing on
1:06:14 the right and then notice I can move
1:06:17 that car around and it'll reposition it
1:06:20 on the left on wait I'm moving it on the
1:06:22 left and it repositions it on the right
1:06:29 so that's pretty slick now how did we do
1:06:31 that
1:06:34 okay this is not intuitive at
1:06:39 all
1:06:42 but so what we're going to do so if you
1:06:44 go to
1:06:46 Korea there's all these different tools
1:06:49 um their video generator is really cool
1:06:53 because you can um it's got a bunch of
1:06:56 different models you can generate video
1:06:57 from so I just generated the uh that No
1:07:01 Country for Old Men thing was in um Luma
1:07:04 Labs dream machine and so this thing now
1:07:07 has one two three four five six seven
1:07:11 different video models that you can
1:07:13 generate in which is kind of cool but if
1:07:16 you go up here and you say generate
1:07:19 image or if I just let's say grab that
1:07:23 image well that's kind of cool I like
1:07:25 that
1:07:27 all right let's grab this
1:07:30 one so that's a cool Mustang and it's a
1:07:33 weird cool
1:07:35 Mustang so I'm going to download that
1:07:39 video and now we're going to go to the
1:07:41 realtime interface and if you haven't
1:07:43 seen the real time interface this is it
1:07:47 and so you've got this thing on the
1:07:48 bottom called AI
1:07:53 strength and the more you slide that to
1:07:56 the right the crazier it gets it says
1:07:58 it's turning those shapes into a
1:07:59 futuristic muscle
1:08:01 car and then I can get rid of those and
1:08:05 now it's just making you know images
1:08:07 over there on the right
1:08:10 okay and I can also get rid of this
1:08:12 prompt and it should if I move this
1:08:14 thing all the way to the left it'll look
1:08:17 just like a forest kind of like the one
1:08:18 on the or yeah the one on the left and
1:08:22 then the more I move this to the right
1:08:23 the more it'll it'll sort of deviate
1:08:26 from The Prompt right or from the image
1:08:31 okay all right and and then you know you
1:08:34 can you can put shapes in here so if I
1:08:37 put you know this body of
1:08:40 water I sort of increase the AI strength
1:08:43 it should turn it into something cool
1:08:45 I'll say I'll say pond in the
1:08:51 forest so there you
1:08:54 go I think I can change the color of
1:08:57 that to be more Pond
1:08:59 likee there you go boom right so real
1:09:05 time image composition pretty slick
1:09:08 right
1:09:12 okay so let's get rid of this so what
1:09:15 we're gonna
1:09:16 do is we're gonna upload an image and
1:09:19 we're gonna
1:09:20 upload is this it yeah
1:09:27 we're going to upload this
1:09:30 thing make this
1:09:34 bigger all right here's where the
1:09:36 non-intuitive part
1:09:38 comes so down here I'm going to do
1:09:42 cartoon of a muscle
1:09:48 car yeah we'll just call it that and
1:09:50 then we'll kind of slide this to the
1:09:54 left cartoon
1:10:03 illustration of a muscle car all right
1:10:05 so there's our thing on the right
1:10:06 there's our thing on the left
1:10:08 now we're g to
1:10:11 turn this image into a 3D object so
1:10:15 first thing we're going to do is we're
1:10:16 going to rightclick
1:10:18 on this image and we're going to say
1:10:20 remove the background
1:10:26 all right so now we have a car that's
1:10:29 kind of
1:10:32 cool and I could say of a muscle
1:10:36 car in oh I didn't even say muscle car
1:10:39 that's why I kept putting muscly dudes
1:10:40 there in the woods I I don't even think
1:10:43 we need in the woods right so we can we
1:10:45 can play around with our AI
1:10:48 strength that's pretty slick all
1:10:52 right okay so we've got our car now with
1:10:56 this view now we're going to right click
1:10:58 again and we're going to say convert to
1:11:03 3D converting to 3D so there's a little
1:11:06 there's a little
1:11:08 uh progress bar at the
1:11:16 top but like let's say I really like
1:11:18 this image here on the left but I I
1:11:20 would really like it to be facing the
1:11:23 audience or facing away well now we can
1:11:27 all right come on you little whipper
1:11:33 snapper so it creates a 3D object it
1:11:36 puts the um whatever you call it the
1:11:39 Shader on
1:11:41 it all right so there it
1:11:44 is and so now we can get rid of we can
1:11:47 get rid of the
1:11:50 image and now we got this thing
1:11:57 how [ __ ] crazy is
1:11:59 this
1:12:03 um so I can
1:12:21 go my my browser Tabs are freaking it
1:12:24 out because of the
1:12:33 memory and then I can change you know
1:12:36 you can do things like change the
1:12:40 background let's put this bad
1:12:45 boy there you go
1:13:04 [Music]
1:13:18 so we'll say um muscle
1:13:23 car zooms
1:13:26 down the
1:13:34 road make this a little smaller put it
1:13:37 in the
1:13:42 distance let's see how far do we do on
1:13:45 it
1:14:02 come on catch up catch up you cute
1:14:05 little thing on the
1:14:09 [Laughter]
1:14:11 right there you
1:14:13 go crazy
1:14:15 right oh that's
1:14:18 cool look at that
1:14:52 just [ __ ] design a
1:14:54 new automobiles
1:15:01 here oh that's nice I hope it
1:15:20 stays that's
1:15:22 cool can I do this
1:15:29 just amazing how different different it
1:15:31 does it that's
1:15:33 [Laughter]
1:15:54 amazing that's a pretty
1:16:01 one boom let's go get another
1:16:05 picture let's go get oh that's gorgeous
1:16:08 look at that look at that bad boy yeah I
1:16:10 did a couple of these with the weirdness
1:16:13 turned up in mid journey and it made
1:16:15 just these beautiful [ __ ]
1:16:18 cars look at those
1:16:21 things need some rubber on that
1:16:24 road that seems super hard to maneuver
1:16:27 yeah Korea Korea takes Korea is more
1:16:29 like jazz than than
1:16:35 Photoshop let's see that one or which
1:16:38 one do I
1:16:41 want that one's pretty
1:16:45 badass I think we'll take that one it's
1:16:49 just weird
1:16:57 muscle car Zoom let's see muscle car
1:17:03 squeals
1:17:06 leaving rubber on the
1:17:14 road all right okay
1:17:18 so again the process import an image
1:17:32 oops
1:17:34 and right click remove
1:17:46 background all right so we've got that
1:17:49 now I'm going to right click and I'm
1:17:50 going to say convert to 3D
1:17:59 let's change our background all right
1:18:00 that's doing that can I change the
1:18:02 background while that's happening
1:18:06 probably n we want do we have any other
1:18:13 roads color
1:18:19 illustrations oh here we go this is a
1:18:21 good
1:18:23 one okay
1:18:26 so we get rid of the
1:18:27 picture and now we got this how did it
1:18:31 do not bad like this thing what's really
1:18:34 cool about Kaa is because it's
1:18:38 generating this new image on the
1:18:40 right the one on the left could be
1:18:43 jankier than
1:18:45 [ __ ] right here let me get this a little
1:18:48 closer to what we're looking at here so
1:18:52 it's not making so much [ __ ] up
1:19:15 did I spell squeals wrong I think I did
1:19:18 squeals
1:19:19 um
1:19:22 leaving uh squeals
1:19:27 in a cloud of
1:19:47 smoke where's the edge of this
1:19:51 box where's the edge of the Box
1:19:54 people there it is
1:20:28 [Music]
1:20:32 all right there you go that was Korea
1:20:35 that was
1:20:41 [Music]
1:20:51 Korea all right jellyfish thank you all
1:20:54 good Day to you all right what else do I
1:20:58 have open AI [ __ ] Quantum Cipher we did
1:21:02 Ms materials we did Korea 3D we
1:21:08 did and what is the opposite of the
1:21:11 Titanic rearranging deck CH deck chairs
1:21:14 on the Titanic I think that's where we
1:21:16 are right now all this activity we're
1:21:18 doing right
1:21:21 now is about to just become different
1:21:26 like I glad I'm glad I learned that [ __ ]
1:21:28 over the past two years but holy [ __ ]
1:21:30 this new
1:21:31 [Laughter]
1:21:39 stuff what thoughts how did you get rid
1:21:41 of the forest on the left you go to on
1:21:45 the bottom
1:21:47 left yeah the interface for Kaa is not
1:21:52 oops it is not super intuitive
1:21:57 because it's kind of a different way of
1:22:00 working you go to this this uh bottom
1:22:03 leftand little thing here canvas
1:22:07 background so and you can just pick
1:22:10 things you can just pick
1:22:11 textures like if we want that car in
1:22:13 some sort of cool sci-fi looking thing
1:22:16 zo there it is whoop there it is
1:22:33 there it looks like it's taken
1:22:42 off well that's kind of cool
1:22:58 whoop there it is whoop there it
1:23:04 is all right all right all
1:23:09 right all right
1:23:21 [Music]
1:23:26 what's up with people who
1:23:28 diss
1:23:30 um if they're dissing about AI or well
1:23:34 if they're pissing on me they're
1:23:35 probably just pissing on me because I'm
1:23:36 old and fat but if if they're pissing
1:23:38 and moan about
1:23:40 AI um it's it's fear likely fear or
1:23:46 anger um both of which listen quite
1:23:48 frankly I mean I've been a lifelong
1:23:50 creative right I've been a creative
1:23:52 professional for for all my career
1:23:54 essentially
1:23:56 I get the existential threat but here's
1:24:00 what I also know using these tools is a
1:24:04 [ __ ] ton less scary than sitting on the
1:24:07 sidelines bitching about them it's
1:24:10 terrifying if you're on the sidelines if
1:24:12 you don't understand what they can do
1:24:14 what they can't do what's coming how
1:24:16 they can amplify what you want to do so
1:24:20 that's what it
1:24:21 is Kyle you see Joy's new music video I
1:24:24 have not seen it yet no that's cool I
1:24:27 will go check it out I will go find
1:24:30 it race
1:24:32 them Source Camp definitely can't keep
1:24:34 up no I I I
1:24:39 mean you know it's funny Kelly I was
1:24:42 thinking
1:24:46 today I was thinking today that it's
1:24:49 like like that thing I did last night
1:24:52 where I went and I just found the the
1:24:54 movie
1:24:55 and then modified them copy and pasted
1:24:58 those prompts
1:24:59 into run or uh uh dream machine and it
1:25:04 made all those videos and then I made
1:25:05 that music video today
1:25:08 like that music video is really good
1:25:12 like it's really good but it it was
1:25:14 literally like a brain fart right it was
1:25:17 like a couple of hours of just [ __ ]
1:25:20 around and it's like if you wanted to
1:25:22 really go deep into anyone one of these
1:25:25 tools like this Korea Real Time 3D thing
1:25:28 that I just did just just learning Korea
1:25:30 and what it can do or just learning chat
1:25:32 GPT and what it can do the tools are so
1:25:35 sophisticated now and they can augment
1:25:38 so much of what we do it's like where do
1:25:41 you begin and I I don't know and again
1:25:44 why I why it feels to me like we're
1:25:47 rearranging you know deck chairs you
1:25:49 know waiting for the Apollo
1:25:51 launch is
1:25:57 that
1:26:00 I I I think we're in Fairly short order
1:26:04 going to be in a place where we can ask
1:26:06 a very simple question and get back an
1:26:09 incredibly sophisticated
1:26:12 something like if we think the responses
1:26:15 we get back now are
1:26:18 impressive when you have a thing that is
1:26:20 better than the best people at every job
1:26:26 out there including designer including
1:26:29 writer including
1:26:32 consultant what does that make possible
1:26:36 pretty much any [ __ ] thing you
1:26:39 want and who's going to get to play with
1:26:41 that [ __ ] first is people that are left
1:26:46 of center enough not politically crazy
1:26:51 enough to hang out on a channel like
1:26:54 this night after after night if you're
1:26:56 curious enough to go I got to I got to
1:26:58 be in this conversation I got to be in
1:26:59 this
1:27:01 conversation the opportunity for us is
1:27:03 going to be insane I mean it already is
1:27:07 insane I probably started 12 projects
1:27:09 and finished zero because there's just
1:27:11 too much and I can't focus I know
1:27:13 welcome to the
1:27:15 club well why do you think I got a
1:27:17 writing partner for the for the
1:27:19 musical because I know like once the
1:27:22 adrenaline wears off for me
1:27:26 I'll just forget about it like I've got
1:27:28 I've got two illustrations to make for
1:27:30 the embrace the Jank book it's done
1:27:33 except for two
1:27:34 illustrations and because I don't have
1:27:37 well actually Cindy's being my
1:27:38 accountabil budy right
1:27:40 now she said finish those [ __ ]
1:27:43 illustrations let's publish this
1:27:45 [ __ ] so all right I'm still kind
1:27:49 of in GPT 2.0 and the world's in 8.6 I
1:27:52 agree I'm I I feel feel exactly the same
1:27:56 Corey I I feel like
1:27:59 um I was I was even thinking about that
1:28:01 tonight like like what's the purpose of
1:28:04 this channel like show people spinning a
1:28:07 car around in 3D it's like does that
1:28:10 does that add value is that interesting
1:28:13 it's like well
1:28:15 it's a someone might see it and go holy
1:28:18 [ __ ] like I've been looking for this my
1:28:20 whole life but there's also just like
1:28:23 okay there's there there's there's a new
1:28:25 point of information okay it can do that
1:28:27 now okay got it okay Microsoft we can
1:28:30 now do materials we did Deep Mind before
1:28:32 now we got this one okay so materials
1:28:34 are getting real right I feel like we're
1:28:37 just we're just sort of popping you know
1:28:40 popping these jelly beans into our
1:28:44 head if you're in the conversation and
1:28:47 then as these things start to get more
1:28:48 real we're we're going to be there to to
1:28:51 at least know that it's a big deal and
1:28:54 ideally know what to do with
1:28:57 it Bob Don again I've been looking for
1:28:59 this my whole
1:29:03 life I love smart
1:29:05 asses oh man I question my value all the
1:29:10 time a Potter live streams don't know
1:29:13 yeah I know
1:29:15 yeah
1:29:17 exactly but you know I hear it all the
1:29:20 time and you probably do too Corey that
1:29:22 people are like oh my God this made such
1:29:23 a difference for me I was you know just
1:29:26 sitting around doing nothing and now I
1:29:28 do this now I'm passionate about
1:29:29 something the thing I'm most excited
1:29:31 about for this channel is not any of the
1:29:34 individual accomplishments while they're
1:29:36 really exciting it's the trajectory of
1:29:39 the
1:29:39 people right almost everyone in here
1:29:43 who's who's stuck around and shared
1:29:45 their
1:29:46 story has just these amazing things
1:29:50 happening and some are small but they're
1:29:55 profound right I rediscovered my love
1:29:58 for poetry holy [ __ ] that's cool you
1:30:01 know I was never good with words but
1:30:04 like I I have these Visions in my head
1:30:07 and I I I want to be able to articulate
1:30:09 them with words and now I can holy [ __ ]
1:30:11 that's
1:30:13 huge so all
1:30:16 right I want my own Jarvis I think we're
1:30:19 all going to have our own Jarvis in
1:30:20 relatively short order smart asses love
1:30:24 love you too thank you very
1:30:27 much building neural Pathways that's it
1:30:30 yeah exactly early anti-alzheimer's
1:30:33 prevention program you know it's funny
1:30:35 so my dad died from Alzheimer's
1:30:38 um and so you know I think about it
1:30:42 and they've always said they've always
1:30:46 said well you know to prevent
1:30:47 Alzheimer's you should do like a
1:30:49 crossword puzzle every day or whatever
1:30:51 whatever the [ __ ] the stupid thing was
1:30:52 right but you know keep your brain
1:30:55 cognitively active I gotta tell you man
1:30:59 the past two
1:31:01 years I can feel my brain behaves
1:31:06 differently than it did before like
1:31:08 there there is more [ __ ] wired
1:31:11 up because part of it's because of the
1:31:13 things I do every night I'm I'm you know
1:31:16 as I'm demoing things I'm having to
1:31:18 figure them out as I'm articulating
1:31:20 things I'm having to you know use that
1:31:22 part of my brain
1:31:24 um but it it's really just these tools
1:31:27 are like just getting your head around
1:31:31 what is in our hands right
1:31:33 now is
1:31:36 crazy and and like the fact that you can
1:31:39 go from huh I kind of have an idea to oh
1:31:43 here it is to oh now it's really good to
1:31:45 here's another idea here's 10 ideas holy
1:31:48 [ __ ] why don't I just make a video while
1:31:51 I'm getting ready in the morning okay
1:31:55 I don't know how to use cap cut I put on
1:31:58 advanced voice I put on screen sharing I
1:32:00 don't know if you know you can do
1:32:03 this on your phone I don't know if I can
1:32:06 do it here I'll show you how to do it
1:32:17 here you go to chat
1:32:21 GPT you open up Quinn or the advanced
1:32:28 voice hey Quinn with
1:32:31 shaken hey Kyle not much how about you
1:32:34 how's everything going yeah good I'm
1:32:35 just sitting here on my Tik Tok I want
1:32:36 to show people how you can see the
1:32:38 screen so you click on these three
1:32:39 dots you go share
1:32:42 screen and you say and it brings up that
1:32:45 thing and you go start broadcast
1:32:47 boom that's perfect and now your
1:32:50 screen's being shared you're all
1:32:53 set okay you can see the screen
1:32:56 right yes I can see it clearly looks
1:32:59 like everything's working great what do
1:33:01 you
1:33:02 see I can see your home screen with all
1:33:04 your app icons everything looks good um
1:33:08 somewhere on there is is like the the
1:33:10 Microsoft Chat thing do you know which
1:33:12 one that one
1:33:14 is I don't see an app specifically
1:33:17 labeled for Microsoft Chat it might be
1:33:19 named it may be
1:33:22 Bing yes Bing could be what you're
1:33:24 looking for it's Microsoft search engine
1:33:27 and chat tool you can try that one where
1:33:29 is
1:33:31 that it's on the left side second row
1:33:34 from the bottom left side second row
1:33:36 from the
1:33:37 bottom cool exactly all right what do
1:33:40 glad to help what do I do here
1:33:42 now you can use the Bing search bar at
1:33:45 the top to type your query or tap the
1:33:48 microphone icon to use voice
1:33:50 search that would probably mess up our
1:33:52 little conversation wouldn't it
1:33:55 no worries our conversation is still
1:33:57 ongoing you can always come back to me
1:34:00 anytime so
1:34:02 like uh okay bye stop screen
1:34:07 broadcasting bye
1:34:10 Quinn like did you know you could do
1:34:14 that did you know you now have kind of a
1:34:17 a partner that can just see the [ __ ] you
1:34:20 do and help you do
1:34:22 it hey I can see things that's that's a
1:34:26 lot of times people Miss yeah exactly
1:34:30 exactly wow you can share your screen
1:34:32 and chat GPT yeah exactly like and how
1:34:36 do you know this stuff how do you learn
1:34:39 this stuff you can't possibly learn it
1:34:42 all so the reason to be in community the
1:34:45 reason to be in something like the AI
1:34:46 learning
1:34:49 lab or the AI Salon sorry
1:34:56 Community is because someone in there
1:34:58 will go oh did you know that this can
1:35:00 happen or that can happen did you know
1:35:02 you could do this oh [ __ ] I didn't know
1:35:05 that that's how we learn in this space
1:35:07 when it's when things are changing this
1:35:09 much all right I'm gonna get out of here
1:35:12 um tomorrow is Friday so tomorrow we got
1:35:15 Friday night date night um I don't think
1:35:17 I've got anything tomorrow night so it
1:35:19 should be on time 8 800 PM mountain
1:35:22 time um bring a date bring a spouse
1:35:26 bring your dog hang out alone all of it
1:35:30 come hang out you might ask Kyle but how
1:35:33 is Friday night date night different
1:35:35 than what we did
1:35:37 tonight it's it's pretty significant
1:35:40 it's a different day it's the day after
1:35:44 tonight but it's completely different
1:35:46 because of
1:35:50 that um also tomorrow at 11 11 a
1:35:55 mountain time on LinkedIn I do this
1:35:58 thing called AI office hours so come
1:36:00 hang out at AI office
1:36:02 hours um and we will um talk about all
1:36:07 this [ __ ] there's a lot going on so I
1:36:09 think it'll be an interesting
1:36:10 conversation the last month or so at AI
1:36:12 office hours has been has been quite
1:36:14 fascinating there's there's a lot of
1:36:16 people a lot of people doing a lot of
1:36:18 interesting stuff and a lot of people
1:36:20 trying to figure out who they are and
1:36:22 what they want to be when they grow up
1:36:23 and the place we should all be it really
1:36:26 is office hours link there isn't one
1:36:29 it's just go to uh LinkedIn Kyle Shannon
1:36:32 is my LinkedIn I'll I'll do a reminder
1:36:35 in the morning for for tomorrow's
1:36:37 meeting and then any of the previous AI
1:36:41 office hours the link for the Google
1:36:43 Meetup is the same I've been using the
1:36:46 same one for two years so it's an
1:36:48 amazing group all right great
1:36:51 beautiful fantas
1:36:55 fantastic all right J people all right
1:36:58 I'm gonna get out of here on the YouTube
1:37:00 in a in a in a the uh the LinkedIn in X
1:37:05 formerly known as Twitter we all learned
1:37:07 that tonight I don't know if you knew
1:37:09 that they used to call it Twitter had a
1:37:11 little
1:37:13 bird yeah we knew that Kyle
1:37:16 whatever what what is this Channel about
1:37:19 anyway I'm pretty sure this like the
1:37:21 stupidest most stupid Channel
1:37:25 ever
1:37:28 Kyle yeah whatever what are your
1:37:31 qualifications pretty sure you don't
1:37:33 have
1:37:35 any all right
1:37:37 Napoleon peace out see you
1:37:41 tomorrow all right