Sep 4, 2024 - Transforming Learning and Creativity with Digital Twins

Description

Chapters

Transcript

0:00 [Music]
0:10 [Music]
0:23 [Music]
0:27 oh
0:30 oh
0:31 [Music]
1:19 [Applause]
1:32 [Music]
1:41 [Music]
1:45 good evening AI family good evening to
1:49 [Music]
1:50 you we're going to do some aiing tonight
1:54 we're going to do some AI tonight it's
1:56 going to be fantastic it going to be
1:58 fantastic I don't know if you use the AI
2:00 the artificial
2:04 intelligence these are fantastical
2:06 [Music]
2:17 [Applause]
2:18 [Music]
2:30 um hang on a sec I got to do something
2:32 here hold that how do I do this click on
2:35 that reply um use
2:41 dig
2:46 [Music]
2:49 twin you feeling Noels on you
2:54 boy with your quiet
2:57 [Music]
2:58 voice and impeccable
3:03 style don't ever let them steal a
3:07 joy and gent ways to keep them from
3:12 running
3:15 wild they GED in your face dress you
3:19 down and tell you that your plac is in
3:21 the middle when they hate the way you
3:27 shine I see you tugging on
3:31 shirt try to hide inside of it hide how
3:35 much it
3:37 hurts let them laugh while they
3:43 can let them spin spin
3:48 spin let them scatter in the
3:53 wind Happ to the
3:55 movies I've seen How It Ends
4:01 and the jokes on
4:04 [Music]
4:27 them woohoo
4:31 let's see if we can get some more folks
4:32 in here and I know what you're thinking
4:34 well good Lord Kyle was singing like
4:36 that why would anyone
4:37 [Laughter]
4:44 [Music]
4:48 stay so tap the screen so one of the
4:51 strategies we we condone here at the AI
4:53 learning lab is is the use of grandchild
4:56 labor so if your grandkids are in bed
4:59 wake them up
5:00 and just get him out here get him
5:02 tapping on the screen and say Uncle Kyle
5:05 needs some hearts Tap Away Sally Sally
5:09 would be like I'm tired grandpa I don't
5:12 want to tap just tap the screen
5:14 Sally okay right and then she's tapping
5:18 and the hearts are going everybody's
5:20 happy except Sally but she's a kid
5:22 she'll get over it you got to build
5:25 character in these
5:26 kids how are they going to know that
5:28 life's a struggle
5:30 Discover it on their own no that's your
5:32 job as a
5:33 [Music]
5:36 grandparent your hair and makeup crew
5:38 did a good job tonight thank you very
5:40 much it's a it's a four-person crew um
5:44 with a with an intense skin regiment as
5:47 you can imagine I mean hair like this
5:50 doesn't grow on trees you peel it off
5:52 the ground it's some sort of fungal
5:54 situation
6:01 oh
6:03 man man alive I'll tell you what I'll
6:07 tell you what
6:09 [Music]
6:27 [Music]
6:37 that's I okay that is some serious heart
6:40 action I can tell we got grandkids in
6:43 there that's that's grandkid energy
6:45 making those likes go like that are you
6:47 kidding
6:48 me we went we went from 24 to 39 people
6:52 on the power of child labor see it works
6:55 it works for
6:57 everyone Sally's going to sleep better
6:59 tonight sure her finger will be cramped
7:02 up but that's just building muscle
7:10 memory and and here's my
7:15 question you could buy an electronic
7:18 Tapper that Taps for you from
7:20 Amazon made
7:22 by child labor or you can hire American
7:28 just have Sally do the tapen directly
7:31 see see what I'm saying let's keep it in
7:34 America people it's an election
7:37 year is he joking this is very
7:40 distasteful and who's
7:45 Sally Sally is sto's granddaughter steo
7:50 is the one who started this this all
7:51 started in
7:53 Australia they don't have child labor
7:55 laws there see they is like come on
7:58 Sally tap
8:01 they're very
8:02 [Music]
8:11 [Applause]
8:12 [Music]
8:15 aggressive yeah it's all your fault it's
8:17 all your fault
8:19 [Music]
8:20 steo I just I couldn't believe it when
8:23 he first suggested it and then I saw the
8:25 Brilliance of it
8:27 grandchildren so good
8:30 now if your grandchildren are too young
8:32 to understand what tapping
8:34 is you might need to wait a month or
8:40 two if you're wondering what the hell
8:42 this Channel's all about my name is Kyle
8:44 Shannon this the AI learning lab I'm a
8:46 bit of a what do they call them in
8:47 America
8:49 smartass I make jokes sometimes they're
8:52 funny most times they're
8:54 not I play songs I had a singing dog
8:57 here but he left he got disgusted
9:00 he's like what are you talking about he
9:02 just walked
9:04 [Music]
9:12 away last night we built a digital twin
9:15 well I built a digital twin and I told
9:17 you all to come along so I don't know if
9:18 you did that if any of you did that I
9:20 thought what might be fun tonight
9:23 is experiment a little bit with using it
9:26 like how might you actually use it I
9:27 came up with one kind of fun use case
9:29 tonight
9:30 before I got on The Tick Tock
9:37 here they will tap all day for treats
9:40 yeah you just got to keep a bowl of
9:41 M&M's right next to the screen Grandpa
9:44 I'm tired of tapping eat another &m
9:46 Sally can I do it with this hand
9:49 no she has to eat it with her left hand
9:52 while she keeps tapping Grandpa hurts
9:55 keep tapping
9:56 [Laughter]
9:59 [Music]
9:59 [Laughter]
10:07 I'm going to tell Mommy don't you tell
10:09 [Music]
10:17 Mommy the AI salons life hack group
10:19 tonight had lots of ideas for digital
10:21 Twins and gpts awesome Eddie J you're
10:24 back I am back I don't know that I was
10:26 ever gone
10:30 but uh yeah but maybe I'm back in your
10:32 feed so that would be
10:37 awesome oh yeah if you tap too hard you
10:39 might swipe out of the live got to be
10:41 careful of that one
10:44 [Music]
11:03 in a
11:04 Westerly
11:09 Direction this car is my
11:14 train I've been driving I've been
11:18 wondering what it is I'm running from
11:24 again feel like an 80-year-old
11:28 man old hold on to
11:33 29 and up head on that
11:38 Horizon is a California
11:41 [Music]
11:42 [Applause]
11:44 [Music]
11:48 line of ahe of trucks carrying a wide
11:54 load prefab house cut in
11:58 half cute little front door into two
12:01 windows my
12:03 Lord ain't sure what the crowd should
12:07 laugh you see I broke a home up myself
12:12 once as I stumbled to that
12:16 door I read a note by the do
12:21 Li said don't you come around
12:26 here anymore
12:31 all right good people let's get this
12:33 show on the road shall we let's get
12:35 started let's do something what do you
12:37 want to do you want to talk about AI
12:38 want to make money with AI you can make
12:40 money with chpt is it true is it true
12:43 can you make money with chat jpt I don't
12:45 know I don't
12:47 know hey March what you what you do
12:50 Saturday night I don't know I watched a
12:53 Tik Tok channel for an hour or two well
12:55 what was on it oh you know in older f
13:00 he was talking about artificial
13:02 intelligence
13:04 really are you do you do that artificial
13:08 intelligence well I got it installed on
13:10 my computer yeah and uh I they got the
13:13 chat GTP and I I I you know what I did
13:17 with that I made an artichoke dip recipe
13:20 with the chat
13:22 GTP wow I didn't know you could do
13:27 that you can I we could if you're
13:31 wanting to learn how to make artichoke
13:34 dip we can help you accomplish that
13:38 tonight it's just you know an hour or
13:41 two of learning some Python
13:46 Programming setting up a GitHub
13:49 repository creating a cursor AI
13:54 account choosing the difference between
13:57 you know a react framework or if you
13:59 want to go native with swift if you're
14:00 going to do iOS applications it's going
14:03 to be really simple we'll get that all
14:06 set up make ourselves an artichoke dip
14:11 recipe I could
14:13 what they they can just do it in chat
14:18 GPT
14:20 H we can try that
14:22 too I mean I'm supposed to be the expert
14:26 [Music]
14:28 here here's the
14:30 deal if if you don't know [ __ ] about Ai
14:34 and what I just said sounded like I knew
14:36 it I knew I had to learn programming you
14:39 don't you
14:42 don't you just need to use your words do
14:45 you use word good words good
14:50 good cuz even if you don't my
14:52 15-year-old daughter debated a class
14:54 classmate that said AI is nothing more
14:58 than stealing from artists
15:00 yes well J J
15:02 Hamilton welcome to the mod gang by the
15:05 way um
15:09 yes people that don't understand how AI
15:12 works and who have likely never used it
15:15 that's one of the tropes it's just
15:17 stealing from artists it hallucinates it
15:20 makes mistakes it's not perfect it uses
15:23 too much energy you know the robots are
15:25 going to kill us there's a handful of
15:27 tropes one of them is it's just Ste in
15:29 from
15:31 artists
15:33 um am I arguing that it wasn't
15:37 trained on questionable data that
15:40 probably includes data from artists and
15:43 writers no it absolutely was there's
15:47 absolutely ugliness there
15:53 however did you know this is a little
15:56 known
15:57 fact in every
16:00 library in the
16:03 world are the works of
16:07 artists that other people can use for
16:16 free there there's there's
16:19 poetry there there's
16:22 textbooks there's
16:26 songs there's there's art
16:29 it's all in there and you can go into
16:32 that library and you can go in there
16:34 every day and you can jam that [ __ ] in
16:35 your
16:36 brain and then you can use what's in
16:38 your brain come up with new
16:43 ideas that is
16:46 exactly what what all these models are
16:49 doing and in fact they're doing it in in
16:52 a not dissimilar way to how our brain
16:54 does it so there's absolutely a very
16:57 real argument for you know for the good
16:59 of
17:00 humanity um there are still some you
17:04 know issues to be solved with copyright
17:07 and attribution and compensation and
17:09 things like that
17:12 but if you sit on the sidelines judging
17:15 AI like oh it's just stealing from
17:17 artists I would never use that well
17:20 you're going to get your ass handed to
17:22 you CU you're not going to know how to
17:23 use these tools that are going to
17:25 transform
17:27 everything you'll feel better about
17:32 yourself so what I try not to do on this
17:36 channel is get into those debates is it
17:38 good or is it bad it's
17:42 Irrelevant in the end it's irrelevant
17:45 the technolog is not going
17:48 away it's not going to stop getting
17:51 better and it's [ __ ] inspiring as
17:54 [ __ ] when you use
17:57 it we happen to live at a time
17:59 when we're watching the birth of the
18:01 most powerful human amplification
18:05 technology in
18:06 history that we get to play
18:11 with and and we're all old
18:20 enough to
18:23 be like the the the incredibly small
18:26 percentage of
18:27 humans that will know what it was like
18:30 in a world before Ai and we'll know what
18:33 it's like in a world after AI we're the
18:36 cusp
18:37 people but if you're on the sidelines
18:39 pissing and
18:43 moaning it's not perfect it
18:47 hallucinates I tried it once I was not
18:49 very impressed I like Google
18:53 better first of
18:55 all with that attitude it makes your
18:58 face look
18:59 ugly I see I I have these conversations
19:03 this is what you look
19:07 like it's just not
19:10 pleasant you know what's a more fun
19:12 expression with
19:15 AI have you had your first Kevin
19:17 mallister moment with AI
19:20 yet because when you do you don't go
19:24 back from it well maybe the first one
19:27 maybe the first one you're like oh my
19:28 God I can do that that's
19:33 amazing then you're like well it was
19:35 just a it was just a fluke and then you
19:37 go home and you try the same thing
19:39 you're like oh it's really is that
19:44 good well certainly it doesn't know
19:47 about
19:49 lesser lesser not strategy cro
19:53 crocheting tell me all you know about
19:55 less or not strategy crocheting
19:59 oh my God it knows about that
20:03 too I thought I was the only
20:08 one my go-to is everything you've
20:10 learned came from copywritten Material
20:14 yeah th this is one of the things you
20:17 know one of the other tropes is AI can
20:19 never be capable of original thought
20:22 what's original thought original thought
20:25 is some human
20:26 being over the course of their life
20:29 jammed a bunch of [ __ ] in their head
20:32 right here's some Andy Warhol pictures
20:34 here's some van go here's some
20:37 climp here's some Hemingway here's some
20:40 Tom
20:42 Robbins it's all [ __ ] in there
20:44 floating
20:46 around you're just walking through life
20:48 your brain's like ah there all this [ __ ]
20:50 in here what do I do with it what do I
20:51 do with it and you're like oh what if
20:53 you took that Tom Robbins quote and
20:55 smashed that into that Andy Warhol PR
21:00 idea you have out comes an original
21:04 thought that's not original that's
21:08 derivative every idea is derivative
21:10 every idea is derivative of some [ __ ]
21:13 you have in your head smashed
21:15 together what a large language models do
21:18 what do diffusion models do they smash
21:20 [ __ ] together squirt it out and if
21:24 you're clever at prompting it you can
21:26 sure as [ __ ] get some original ideas out
21:28 of it are we talking about pain again no
21:32 I just I just went off I don't know why
21:34 oh cuz Jay Hamilton said his 15-year-old
21:37 daughter got into an an argument with a
21:40 a friend that was like AI just stealing
21:42 from artists I could I could already see
21:45 the look on her face little little Sour
21:47 Puss
21:48 like I I don't like your stupid
21:52 AI
21:53 Jenny she probably said her name with
21:56 contempt Jenny you stupid AI
21:59 yeah it's not fun it's stealing from
22:03 [Laughter]
22:04 artist Jenny was just like I just like
22:07 it it makes pretty pictures of
22:14 ponies I I I made I made a song about a
22:18 trip to the mall that I kind of like
22:21 it's just stealing from artist H
22:25 Jenny so so so it sent me it th listen
22:31 this is not meltdown Monday but Monday
22:33 was a holiday so it threw my whole week
22:36 off so it's it's it's whacked out
22:41 Wednesday humans are not capable of
22:44 original thought exactly everything's
22:47 derivative it makes pretty pictures of
22:50 bears and tutus
22:52 exactly my niece and nephew are not
22:54 allowed near chat GPT because of
22:57 teachers at school like yeah so what are
23:01 students this is this is a a a
23:03 rhetorical question but it's real
23:05 question what are
23:08 students what are
23:10 students
23:14 students are large language models that
23:17 teacher
23:18 teachers try to
23:20 put well organized well-crafted
23:24 intentional knowledge inside
23:29 and Along
23:31 Comes This Thing Called a large language
23:35 model that is the most profoundly
23:39 powerful um knowledge
23:44 democratization in the history of
23:46 humanity and teachers are like well why
23:48 would I use
23:51 that
23:53 uh cuz it's your [ __ ] job
24:02 [Music]
24:05 your students are going to go into a
24:06 world where they don't have to memorize
24:08 [ __ ] anymore they're going to go into a
24:11 world where they can just ask a machine
24:14 to write an application for them and
24:16 it's going to [ __ ] do
24:20 it learning to memorize
24:24 lists just got a lot less valuable in
24:28 this world
24:29 as a
24:30 teacher isn't it your job to prepare
24:33 your students for the future they are
24:37 entering do you know what those students
24:39 need right
24:41 now they need you to teach them how to
24:43 use their minds to think critically
24:45 because all the rules are [ __ ]
24:51 changing God does that piss me off we're
24:54 not you CH it's okay we've solved it
24:57 we've got AI detectors
24:59 those students won't be cheating anymore
25:02 we've solved it good yeah Mr K uh yeah
25:05 you're not even allowed to mention AI in
25:07 the classroom okay so that's how we're
25:09 going to solve it is you're just not
25:11 going to talk about it all right okay
25:14 okay oh hey yeah one more thing we're
25:17 going to need you to go on ahead and
25:18 come on in on Saturday too
25:28 it is your responsibility as Educators
25:31 to [ __ ]
25:34 educate pay attention to what's going on
25:37 in the world the world is changing in
25:40 real time right
25:42 now it's
25:44 okay we figured out how not to deal with
25:47 it for another two
25:49 years it's the most irresponsible thing
25:52 I I I can't I'm Al for clamped I'm for
25:56 clamped huh
25:59 all
26:00 right yeah but even in corporate even
26:03 writing
26:04 in uh writing from scratch well-written
26:08 content can be flagged from AI well
26:10 that's the the AI detectors are [ __ ]
26:12 useless they they they flag real content
26:15 as as AI written which it's particularly
26:19 bad for non-native English speakers so
26:22 they get penalized more than native
26:25 English speakers
26:27 [Music]
26:36 oh man wonky
26:40 Wednesday Mr it I love you guys welcome
26:44 welcome welcome so all the detectors can
26:47 say that the content follows the rules
26:50 associated with a AI generated
26:52 content where's my dang Blandon I do
26:56 need maybe I need a whiskey tonight
27:01 I'm wearing a Blandon shirt though did
27:03 you know that is that why you said
27:07 that wine
27:09 Wednesday oh
27:14 man I mean imagine a classroom
27:19 experience where a
27:22 teacher has the
27:24 humility to go you know what kids
27:29 we're going to teach you [ __ ] how we've
27:30 always taught you [ __ ] but on Thursdays
27:33 at 1: in the afternoon we're going to
27:36 take the second half of of
27:39 Thursdays and we're going to learn this
27:41 stuff together and I went to the
27:44 supervisor or the principal and I got us
27:47 special permission to use chat GPT and
27:50 what we're going to
27:52 do is I'm going to tell you how I teach
27:56 and then we're going to go to chat gbt
27:58 and we're going to see how we might do
28:00 it
28:01 differently and then I'm going to have
28:03 you take my plans and I'm going to have
28:06 you use chat GPT and figure out how you
28:08 might teach differently if you had chat
28:09 GPT or
28:12 Claude and maybe one of the kids has
28:15 used Claud enough to know that it can
28:17 code and the kid says why don't you make
28:20 me an interactive lesson plan dashboard
28:24 out of this plan that the teacher just
28:25 gave us the kid uploads it there
28:29 and 30 seconds later after watching a
28:31 bunch of code get written there's a
28:33 dashboard with dials and knobs and
28:36 switches and displays and the kid's like
28:39 uh Mrs Johnson yeah Jimmy could this
28:44 what you mean could could was this would
28:47 this be good and Mrs Johnson walks over
28:50 and looks at the screen and goes oh my
28:52 God jimy how did did you just make
28:56 that and Mrs Johnson has a [ __ ] Kevin
28:59 mallister moment in real
29:02 time you could do that J could you show
29:05 us all how to do
29:07 that can you imagine the self-esteem
29:10 Jimmy would have from
29:13 that what a [ __ ] hero Mrs Johnson
29:16 would
29:17 be it's okay we've got detectors we
29:20 don't need to deal with it right now I'm
29:23 I'm not I've been doing this for 30
29:24 years okay I'm not going to change the
29:25 way I teach for little computer
29:35 something I need an electric
29:40 guitar I I need a drum
29:44 [Music]
29:53 kit I'm watching the US Open Daniel
29:57 medev he just win yeah he
30:02 did the fourth game of the second set
30:05 was going on for a long long time he's
30:08 up four love in the second set after
30:10 dropping the first set you're not really
30:12 paying attention to us you're watching
30:14 tennis shut
30:16 up showed one today showed someone today
30:20 Claude creating a Frogger like game he
30:22 freaked the [ __ ] out yeah yers ah
30:26 waffling Wednesday exactly Steve
30:28 welcome it's waffling
30:31 Wednesday if a teacher can't see that D
30:34 student Johnny is suddenly writing A+
30:36 papers something's wrong
30:40 exactly and rather than scolding Johnny
30:42 for writing A+ papers the teacher goes
30:45 Johnny listen I'm going to give you
30:49 immunity you've got prosecut to immunity
30:53 you will not get detention you will not
30:54 go to the principal's office tell us how
30:57 you're making the how you went from D
30:59 papers to a papers oh I just went into
31:01 chat GPT and did this well we Ed
31:03 detectors how did you not get detected
31:05 oh well I took it over to cloud and I
31:07 told it to write it so the det detector
31:09 couldn't detect it wow that's really uh
31:12 uh ambitious of you that's really uh
31:14 what's it called
31:17 resourceful nice critical
31:20 thinking now don't ever [ __ ] do that
31:22 again or you'll go to the principal's
31:24 office but you know
31:26 what like that convers ation how did you
31:30 do that how are you thinking about this
31:32 are you thinking about this did you just
31:34 put in a stupid prompt that you copied
31:36 and pasted and hit the button and just
31:38 send that in or are you actually
31:40 iterating on these things and using your
31:44 brain in a problemsolving critical
31:47 thinking kind of way because if you are
31:49 let's reward that behavior because
31:51 that's the
31:54 future have you tried doing image to
31:57 artifact yet KY it's it's mathematical
32:00 um I don't oh I did I did
32:04 a I did it on my phone I took a
32:07 screenshot of
32:09 Twitter and I said I said recreate this
32:13 interface and what was [ __ ] up about
32:16 it was it recreated it so well that I
32:20 thought I was looking at the picture I
32:22 uploaded but then I could I realized I
32:24 could highlight text in the
32:26 interface yeah it's it's pretty crazy we
32:29 can try that tonight and I figured since
32:31 we built a digital twin last night we'll
32:34 we'll dick around with how might you use
32:37 a digital twin if you make
32:43 one oh that third game didn't last that
32:46 long I was watching a replay never mind
32:50 [Music]
32:55 [Laughter]
33:01 [Music]
33:06 all right so I got not a lot in there um
33:11 what else did we see today there's some
33:13 new spreadsheet came out
33:17 today that every cell is a prompt and it
33:21 does [ __ ] for you Robert Robert scoble
33:23 talked about it today I don't I don't I
33:26 haven't played with it so you guys are
33:28 making me want to write the book
33:31 faster instead of watch Kyle go write go
33:34 write the book that's why so archetypal
33:38 architect that's why to be
33:41 here is not to necessarily listen to me
33:44 [ __ ]
33:46 ramble but just to go you know the [ __ ]
33:48 you're talking about's making me want to
33:50 write that book or making me want to
33:51 write a book or making me want to
33:53 go you know call the principal of the
33:57 school district because
34:00 he's thinking like an
34:02 idiot what if we did a Saturday remember
34:05 remember in Silicon Valley they used to
34:07 have Saturday computer
34:10 clubs and they would get together and
34:13 put together
34:14 [Music]
34:15 computers if you've got kids in school
34:18 and age and particularly if you've got
34:20 kids in schools where they're like it's
34:22 okay we've solved it we use AI detectors
34:25 now [ __ ] that go to the local library
34:29 and start an AI club for
34:33 students well what are we going to do
34:35 there I don't know make pictures make
34:39 words learn how to do [ __ ] make um
34:43 entertainments for old folks
34:50 homes help small businesses wouldn't it
34:53 be cool if you had a group of like fifth
34:55 and sixth graders that met every
34:57 Saturday at a
34:59 library and the first hour was you
35:03 walked around the local businesses and
35:05 you talked to the
35:07 owners and you got ideas for things that
35:10 they need oh I need to revamp my my menu
35:14 oh I need to come up with a marketing
35:15 plan I someone said I need to do
35:18 something on Facebook I don't know
35:19 anything about that and then all the
35:21 kids come back to the live Berry and
35:23 they're like
35:26 well Samantha
35:28 the Mrs Mrs mcgilla Cy down at the down
35:33 at the paper
35:35 store she she doesn't know how to do her
35:39 her her math for for running her
35:43 business but she gave me this thumb
35:45 drive with a spreadsheet on it all right
35:48 let's see what we can do with
35:51 that then you go back and give [ __ ] to
35:53 the community
35:59 is that going to ruin the
36:03 children I'm listening
36:09 no it's going to change the
36:14 world don't put up with this [ __ ]
36:17 [ __ ]
36:18 Lites yeah this is a AI is uncomfortable
36:23 it makes me think I don't like it
36:26 well tough [ __ ]
36:32 [Laughter]
36:40 he said
36:42 [Laughter]
36:55 Library archetypal architect and I love
36:58 people tripping over my name it's a it's
37:00 it's a good one to trip over I cam Ken
37:03 from Cleveland an archetypal architect I
37:06 can't I can't ever get those without
37:07 tripping on
37:10 them ah all
37:13 right maybe Pate is Google AI
37:16 too nah pate's just a a mad
37:24 genius D all right what do we want to do
37:27 tonight so here's the deal if you're new
37:30 here my name is Kyle Shannon this is the
37:32 AI learning lab um I'm not always so
37:36 apoplectic but sometimes [ __ ] pisses me
37:40 off
37:44 um and I just you know the thing that
37:48 frustrates me with with that attitude
37:50 with school districts
37:55 is I assume somewhere in their rank they
37:58 have a history teacher
38:01 right we've seen the movie
38:04 before like we've seen the movie in
38:06 recent history like when personal
38:09 computers came out and everyone said oh
38:10 they're too expensive why would anyone
38:12 ever need more than 32
38:15 megabytes right all that sort of
38:17 [ __ ] they're not powerful enough
38:19 what would you ever use them
38:21 for then when the internet came out ah
38:23 it's just just you click on a hyperlink
38:25 it's what is what it doesn't really
38:27 matter it's just it's overblown
38:30 hype it's a hype bubble it's the dot
38:33 bubble it's not going to do
38:38 anything a social media what's social
38:40 media it's oh just so just people have
38:42 friends they just have friend circles uh
38:44 didn't we have that with AOL that's not
38:46 going to be
38:52 anything so Along Comes This
38:55 thing which is the greatest augmentation
38:58 to humanity in the history of
39:00 humanity and educators are
39:03 like hold up there we're going to have
39:06 to actually think about what we're
39:08 teaching people oh no no no we've got
39:12 curricula for that
39:24 [Music]
39:28 I remember thinking I'd never film my
39:30 brand new 160 megabyte hard drive in
39:33 1997 I have every time I've bought like
39:36 whatever is the the peak
39:38 thing so I've I've now got terabyte
39:42 drives and they're all full they're
39:48 terabyte I remember my first hard
39:51 drive was for a
39:54 Mac a Mac se30 no it was a Mac
39:59 512k the second Mac and I bought an
40:02 external hard drive for it with a Serial
40:05 cable and it was like this wide it was
40:10 like 6 in by 6 in by
40:14 like 13 in it
40:17 was was 5
40:19 megabytes it weighed like 15
40:22 lb 5
40:26 megabytes but you had you know 144k
40:30 floppies so it was pretty remarkable and
40:33 you could hear it
40:35 [Music]
40:38 go [ __ ] crazy oh man I had a
40:42 conversation with chat GPT that changed
40:44 my perception of life Wow Cosmic lover
40:48 that's super cool anything you can share
40:51 in a in a in a
40:55 comment but yeah but like
40:58 it changed your perception of life like
41:01 imagine like working with students
41:05 collaboratively trying to figure this AI
41:07 stuff out together even if you just
41:09 carve out a weekend club or couple hours
41:13 a
41:14 week where you do something in science
41:17 in this you know in the science
41:19 section you learn about how large
41:22 language models
41:24 work
41:26 together it just showed how
41:29 we are just a little page in the history
41:32 of the universe oh yeah yeah yeah so
41:36 yeah
41:39 exactly yeah you
41:42 know the AI is really good at if if you
41:45 want
41:46 to talk about small ideas it'll talk
41:50 about small ideas if you want to talk
41:51 about massive ideas it'll talk about
41:53 those it's amazing for that kind of
41:55 stuff that's really cool
41:58 I remember the card table sized floppy
42:00 drives when I worked at Walmart yeah
42:04 exactly so the technology is going to
42:07 keep
42:08 evolving AI is not going
42:12 away if one of the things you're
42:14 thinking is well what if AI just goes
42:23 away there's too much
42:26 power there is too much power at stake
42:29 no one's going to let it go
42:33 [Music]
42:38 away ain't that
42:44 pretty welcome to Chad
42:47 add is he spinning a fidget spinner in
42:50 the middle of ranting about the power of
42:52 artificial
42:55 intelligence yes he is
43:00 oh man NASA in 1969 let's go to the Moon
43:04 with 512k of ram yep my
43:07 hp24 Excel has a tab open that's 10 gigs
43:14 exactly I mean if you think
43:19 about if you think about what Google did
43:22 and what all the search engines
43:25 did that was sort of a first
43:28 order of magnitude holy [ __ ] they can do
43:31 that where they basically said let's go
43:35 look at let's go crawl every website on
43:38 the
43:38 internet and we'll make a catalog of it
43:41 we'll make a searchable
43:43 index and you know whoever figures out
43:45 how to search that index fastest faster
43:48 better will win and Google won and they
43:51 became the standard and so they took all
43:54 of the
43:55 information that was available on the
43:58 internet and they made it instantly
44:00 accessible by all of us by searching for
44:03 it so you want to Learn Python
44:05 Programming here's
44:09 462 pages of Python programming
44:14 tutorials go
44:16 learn absolutely
44:20 remarkable we're now at a
44:22 place where they've taken not just the
44:26 index of where all that stuff was but
44:30 all of that
44:31 stuff and they figure out a
44:34 way with this Transformer
44:39 architecture to
44:41 squash the collective output of humanity
44:44 that's been uploaded to the
44:46 internet into a
44:50 thing where we've got instant access to
44:53 the knowledge not the
44:55 information see we're coming out of the
44:58 information
44:59 age we're moving into the age of
45:02 knowledge because I can now write an
45:07 application in python or in react or in
45:10 whatever the [ __ ] I want to write it
45:15 in without ever having to write a line
45:17 of
45:20 code so like the knowledge of how to do
45:23 that is in the
45:25 model it doesn't have to be my
45:28 brain that's [ __ ]
45:31 remarkable and like all of the knowledge
45:33 is in there and the models that are
45:36 coming apparently the next thing from
45:39 open AI I think they're calling it GPT
45:41 next rumored to come out in October is
45:44 going to be a 100 times more
45:48 computationally dense than our current
45:53 gp4 and gp4 was 100 times more comp
45:57 computationally dense than
46:00 gpt3 so
46:02 we're that's two
46:04 ooms for those of you that are
46:07 non-geeks 100x more powerful is two ooms
46:10 two orders of
46:15 magnitude it's
46:19 crazy and by the end of 2025 we're going
46:21 to have another 100x
46:23 increase and that's the one where miror
46:26 moradi who's the CTO of open AI
46:29 said we will all essentially have PhD
46:33 level knowledge of anything we want to
46:39 know so so we're we're two years out
46:44 from
46:46 having a th000 phds at our disposal for
46:50 anything we want to
46:52 do and teachers are still going like
46:55 it's okay we don't even let them talk
46:56 about GPT we figured it
47:06 out I find I find it
47:10 mindboggling like pay attention pay
47:12 attention to what's
47:16 here when you watch perplexity write you
47:19 a a well researched article when you
47:22 watch
47:24 Claude with with its artifacts then
47:26 create you a Frogger game in 30 seconds
47:29 where you watch it write the code and if
47:31 you've ever coded before you can kind of
47:32 see like what it's doing you're like oh
47:34 my God like that would have taken me
47:36 forever to like just figure out all
47:37 those all the syntax of those commands
47:40 much less how to think about it and just
47:43 vomits it out and then you play the
47:48 game ums not
47:51 ooms please spell
47:53 it orders of magnitude o MS
47:58 order of
48:01 magnitude I mean that's what I saw on
48:05 Twitter I'm not a
48:08 mathematician I I get all my knowledge
48:10 from
48:11 Twitter and I still call it
48:16 Twitter in 2027 we'll have super
48:18 intelligence and Murphy's here we can
48:21 finally get started and man did you miss
48:23 it I [ __ ] went
48:25 off closed-minded teachers pissed me off
48:29 today I mean teachers still don't give
48:32 students full internet access so digital
48:35 sensorship isn't new yeah I
48:38 know all they're going to do is look at
48:41 pornography well now see here's the
48:44 thing as a teacher I understand don't
48:47 give kids access to the internet cuz all
48:49 they're going to do is look at
48:51 pornography with AI they can actually
48:54 make their own pornography you see
48:58 like like you know let him create some
49:01 things in this
49:03 world you're the smartest guy I know
49:05 Kyle oh no you need new
49:11 friends but thank you very much I
49:13 appreciate
49:16 that sir sir what may I inquire are your
49:21 qualifications my
49:23 qualifications yes you've got this
49:27 laboratory of learning an educational
49:30 institution I assume so I would like to
49:33 know your qualifications your
49:38 institutional yeah about
49:43 that joined late well it's been it's
49:47 been quite a talk
49:48 tonight now now that's a selling point
49:53 exactly oh [ __ ] here we go with the
49:55 qualifications
49:59 he can be the smartest with AI
50:02 right well that's you know what the
50:04 funny thing is you know I've said this
50:06 on this channel for a while there are no
50:07 experts and I am certainly not an expert
50:10 I feel I feel less qualified now to talk
50:14 about this AI stuff than I ever
50:16 have
50:19 um there's there's literally too much to
50:22 comprehend right
50:25 now um
50:30 and it's not slowing down like there's
50:33 not going to be a
50:34 break we are probably
50:38 within two months of having the next big
50:42 model from open
50:44 aai is is is my sense I don't know if
50:47 you noticed but they they um open AI
50:50 it's called open AI news I think hang on
51:11 [Music]
51:15 is it open AI
51:16 news yeah open AI Newsroom so if you if
51:20 you're on Twitter go follow open AI
51:24 Newsroom so today open AI
51:29 announced a new Twitter Channel called
51:33 open AI
51:34 Newsroom with the with the announcement
51:36 we have so much to tell you we needed
51:38 another
51:40 account for news updates and the
51:43 occasional
51:45 clarification
51:47 so September 12th Mark Mark this date
51:51 well September 11th I'm going to be in
51:53 Washington
51:54 DC testifying on Capitol Hill or not
51:58 testifying but talking to elected
52:01 officials about Ai
52:03 and how they shouldn't celebrate
52:07 teachers that use AI detectors to
52:09 prevent students from
52:11 thinking and experiencing new technology
52:15 um and I'm going to ask them to
52:17 legislate from a place of optimism so
52:19 that's happening on the 11th and then
52:22 not
52:23 related to to my trip to DC
52:27 September 12th
52:30 Oprah is doing a live broadcast that
52:32 we're going to live stream here with Sam
52:35 Alman Bill Gates Christopher Ray head of
52:38 the
52:39 FBI and Maris
52:43 brownley technology reviewer
52:49 YouTuber those four say to
52:52 me open ai's got some big new thing they
52:55 want to talk about Bill Gates is is
52:57 going to talk about it in the
52:58 perspective of History Christopher Ray
53:01 is going to say we looked at it it's
53:03 safe the robots aren't going to kill you
53:05 and Maris brownley is going to say yeah
53:07 it's pretty cool you should use it
53:10 that's my that's my that's my chat TMZ
53:12 speculation on what the Oprah show is
53:14 going to be about so we're going to live
53:15 stream it should be interesting and then
53:17 there was a rumor that October 17th is
53:20 the date that open AI is going to drop
53:22 something and they just put out a
53:24 new news channel on the on the X so
53:29 fascinating time something's
53:31 coming and Tom Cruz what about Tom
53:35 Cruz
53:36 um is there such an app that detects AI
53:39 stuff there's a bunch of them but they
53:41 they all suck and they all have false
53:44 positives and false negatives and
53:46 they're just they're just bad and and
53:48 also
53:53 listen here's my philosophy on using AI
53:56 tools
53:58 you as a
54:00 human are
54:02 responsible for what you put in the
54:08 world so if you're lazy if you're like
54:11 the lawyer there was like a year ago
54:13 there was this
54:14 lawyer that
54:16 wrote a legal brief for
54:20 court and handed it to a
54:23 judge and the judge
54:27 being a thinking
54:30 Feller read the legal brief and went and
54:33 looked at the
54:35 citations of the case law that supported
54:38 the
54:40 brief and none of them
54:43 existed all of the citations were
54:46 hallucinated this lawyer went to chat
54:49 GPT and said write me a legal pos
54:51 position and handed it to a [ __ ]
54:54 [Music]
54:55 judge that is not chat gpt's fault
54:58 that's that [ __ ] idiot lawyer's
55:01 fault for not checking his
55:05 work so I feel the same thing about
55:07 students if students do shitty lazy
55:09 work with AI yeah that's
55:15 bad but if students use AI to learn
55:19 about a subject really quickly outline
55:23 how they want to think about it how they
55:24 want to put it together have it right
55:26 the first draft go in and say this sucks
55:28 that doesn't this sucks that doesn't we
55:30 actually need some research here let me
55:32 go research that for real and then I'll
55:33 put a citation in
55:35 here and if the teacher said I don't
55:38 care how you write the paper but half of
55:41 your grade is going to be telling us
55:45 what you did to write
55:48 it and you know the the the little
55:52 Bookworm brown noser do all their
55:55 homework
55:56 nerds are are gonna just write it the
56:00 oldfashioned way and they'll talk about
56:01 I went to the library and I did this and
56:03 I did that and all the ADHD Freaks Like
56:06 Me are going to be like uh yeah I used
56:08 chat GPT and here's the things I did and
56:11 then I went to perplexity and I did this
56:13 and I went to cloud and I did
56:16 that that would be a
56:18 [ __ ] amazing experience in the
56:21 classroom to actually experience how
56:24 people
56:25 think and how they approach work and
56:28 what technologies they used why not like
56:32 dump it into the classroom and and Shake
56:35 It
56:37 Up sounds like a good use case for rag
56:40 Smart in smart out exactly I'm looking
56:42 into magic school for my school is it
56:45 worth it Mr K uh Who's Who uh heads up
56:49 the education Guild in the salon um
56:52 likes magic classroom and I think um so
56:55 I've heard other people talk about it I
56:57 think it's pretty good I don't I haven't
56:58 I haven't experienced
57:06 [Music]
57:09 it footnotes prompt notes yeah prompt
57:12 notes
57:19 exactly oh this was the point I was also
57:21 going to make
57:27 if I put a piece of work out in the
57:30 world and you like
57:35 it
57:36 assuming you know I didn't steal it's
57:39 not someone else's ideas it's my
57:42 ideas and you like
57:44 it does it
57:46 matter if I use Microsoft Word or Google
57:50 Docs does it matter if I used grammarly
57:53 to fix my grammar does it matter if I
57:56 used chat GPT or
58:04 Claude well if you use those tools then
58:07 it didn't take you as long to write
58:09 it where does it say that we have to
58:13 spend that it's only valuable if we
58:15 spend lots of time on
58:21 it doesn't a
58:24 photographer make a picture in a 500th
58:27 of a
58:29 second well they have to edit it yeah
58:33 have you ever used AI you have to
58:34 [ __ ] edit
58:36 it how's it any
58:42 different I'll
58:44 wait it's not it's
58:48 not if I'm putting my name on it I'm
58:51 responsible for it did you use AI
58:54 probably
58:56 well which part of it are AI I don't
58:58 know it's all mixed in
59:02 there did you handcraft this welcome to
59:05 the AI learning lab thing out of clay
59:07 did you handcraft that out of clay
59:09 because if you didn't it's not
59:11 valuable well first of all Danielle did
59:14 it not me so if Danielle used AI to make
59:17 a picture of clay that's on her for not
59:21 creating art cuz it's only art if you
59:24 make it out of clay
59:28 that's that's effectively the argument
59:31 there was a piece in the New Yorker this
59:33 week why AI art can't be art I couldn't
59:36 believe this [ __ ] thing this whole
59:38 [ __ ] article the opening
59:41 premise the opening premise of this New
59:44 Yorker
59:49 article you don't put in
59:52 time when you use AI
59:56 have you ever [ __ ] used
59:59 AI have you ever tried to make art with
1:00:03 AI it takes for [ __ ]
1:00:06 ever you have to make thousands of
1:00:09 different versions nothing looks like
1:00:11 what you imagined you're all over the
1:00:12 place you're running down rabbit holes
1:00:14 you're curating you're trying to figure
1:00:16 it out you get it close but it's not
1:00:18 quite there you take it into
1:00:21 Photoshop if if I'm if I'm looking to
1:00:24 put out art capital a
1:00:27 art I'm going to take a lot of time
1:00:30 Jason Allen who won the the Colorado
1:00:33 State Fair art
1:00:35 contest with his AI generated image
1:00:37 where everyone lost their [ __ ] 684
1:00:40 prompts he'd been thinking about this
1:00:42 concept of a Space Opera for years he
1:00:46 didn't know how to execute it he's a
1:00:47 print
1:00:49 maker all of a sudden Along Comes mid
1:00:52 journey and he goes oh my God I think I
1:00:54 can realize this idea I've had in my
1:00:56 head for a
1:00:59 decade and he did and it was [ __ ]
1:01:01 beautiful 684 prompts to get to two
1:01:06 images that he submitted to that
1:01:10 show you get four Images per prompt so
1:01:14 684 * 4 is 2500 plus 2600
1:01:19 images to get
1:01:23 two and he uesed those and took them
1:01:25 into photo shop and did all whatever the
1:01:27 [ __ ] he did to do
1:01:29 them from an idea that he had in his
1:01:31 head for a
1:01:37 decade copyright office is saying it's
1:01:39 not copyrightable because you just
1:01:41 pushed a button this New Yorker article
1:01:44 it's not real art cuz you just pushed a
1:01:46 button have you used a digital
1:01:49 camera
1:01:53 click just pushing a button
1:01:56 oh
1:01:57 sorry you may if if you put it in manual
1:01:59 focus mode you have to do this first and
1:02:02 then
1:02:06 this I was wondering what app to use to
1:02:09 record H hang on I got to put a puzzle
1:02:12 piece I've got I've got to slide a
1:02:14 puzzle piece into a slot so so they can
1:02:18 convince themselves that I'm
1:02:20 human I'm sitting here [ __ ] ranting
1:02:23 like I got sweat running down my face
1:02:25 you can't analyze my
1:02:27 voice that it's that it's that it's at a
1:02:30 at a higher tamber than last night Tik
1:02:34 Tock you seem to be able to understand
1:02:37 when I say the word booby and ban me for
1:02:42 life I'm [ __ ] human well or so you
1:02:47 think I was wondering what app to use to
1:02:50 record teacher with permission and have
1:02:54 ai make notes or outline l i saw red
1:02:58 truck 101 go check on Twitter let me see
1:03:01 if I can find
1:03:03 it there was a really remarkable let's
1:03:06 see
1:03:08 um
1:03:10 classroom or wait what's it called uh
1:03:13 lecture
1:03:15 lecture notes AI
1:03:24 [Music]
1:03:34 uh you could certainly use
1:03:37 um Gemini Gemini 1.5
1:03:42 Pro you can upload a [ __ ] um let's see
1:03:47 let's see
1:03:49 uh
1:03:52 laptop does that do it does that get me
1:03:55 there I just saw this video today it's
1:03:59 there's so there there's a kid a
1:04:02 student in the back of the lecture hall
1:04:06 with his laptop
1:04:07 open he's got the camera you know facing
1:04:11 the the professor the professor's doing
1:04:14 what the professor's doing so there's a
1:04:16 little video window and then under the
1:04:18 video window is the live transcript of
1:04:20 what the process professor's saying and
1:04:23 in the middle pan are are notes so so
1:04:26 the the full transcript is happening in
1:04:28 a little window and then the summary of
1:04:31 what's being said is being typed out in
1:04:33 notes and then the student there's a
1:04:35 paint paint over to the right where the
1:04:37 student can go in and query what's been
1:04:40 said so far and then add that to the
1:04:43 main notes page it's [ __ ] insane so
1:04:45 let me see if I can find
1:04:54 it h i can't find it
1:04:58 [ __ ] wait is that
1:05:01 it is this
1:05:04 it I found an AI that listens Auto takes
1:05:08 notes for
1:05:10 me this
1:05:12 is yeah this could be it study fetch.com
1:05:17 yeah this is from lonus Linus is good
1:05:21 study fetch.com try that
1:05:28 is this the one that that kid was
1:05:34 using looks like they're using
1:05:39 [Laughter]
1:05:42 anthropic I don't know if that's the one
1:05:53 but let's see let's see lecture hall
1:05:57 make your hall
1:06:02 notes
1:06:05 live
1:06:07 note
1:06:17 [Music]
1:06:20 taking
1:06:22 anyway it's some somewhere on Twitter
1:06:25 it's there I you know just just go look
1:06:28 up AI note taking maybe that's let's see
1:06:34 AI
1:06:38 study Note
1:06:52 Taker I can't find it maybe it was a Tik
1:06:55 Tok it might have been a Tik
1:06:56 Tock let me let me go to Tik Tok let me
1:06:59 see if I can find it on Tik
1:07:01 Tok Tick
1:07:04 Tock the ticktock ification of
1:07:08 Education let's see
1:07:11 lecture AI
1:07:16 note yes this is
1:07:19 it is this it note goat that one's
1:07:22 called note
1:07:25 goat trying to see if I can find the one
1:07:27 that I
1:07:31 saw is this
1:07:34 it no this
1:07:41 it well there's a [ __ ] ton of them on
1:07:44 Tik
1:07:45 Tok trying to find the one specific one
1:07:48 that I saw cuz it was really cool it had
1:07:51 the video window of the live lecture
1:08:02 no not
1:08:09 it but it looks like it's all the rage
1:08:11 all the kids are doing it these
1:08:16 days I saw another one I saw another one
1:08:19 where a student was looking at study
1:08:22 fetch does not does look like what you
1:08:25 described okay there you go
1:08:28 um I was looking at a there was a video
1:08:31 today this is this was really cool so
1:08:36 you know how sometimes students are
1:08:37 belligerent because they're smarter than
1:08:39 the teacher and then because they're
1:08:41 neuros spicy they tell the teacher that
1:08:43 they're smarter than them so this kid
1:08:46 was being belligerent to a teacher and
1:08:48 basically saying you suck and how you're
1:08:50 teaching this sucks and you shouldn't
1:08:51 teach like this cuz it sucks and then
1:08:54 the teacher goes well if I'm so bad get
1:08:56 up here and show me and so the kid gets
1:08:58 up gets on his laptop takes his notes
1:09:01 throws him into chat GPT or you know
1:09:03 something like that blows the notes out
1:09:06 just totally just
1:09:07 totally so yeah the the students
1:09:11 students if the teachers ah teachers got
1:09:14 to get their [ __ ] together they got to
1:09:17 keep up with these kids and I think the
1:09:18 only way to keep up with them is like
1:09:19 start a dialogue critical thinking
1:09:23 baby all right
1:09:26 I keep seeing ads for devices on Tik Tok
1:09:29 looking at study fetch does look like
1:09:31 what you saw time to lay back and maybe
1:09:34 get sleepy get my three hours if I'm
1:09:36 lucky all right doer
1:09:38 doer drift
1:09:40 off I'll try not to I'll try not to
1:09:43 shock y anymore we'll give you one more
1:09:45 of these for for nighty night you can
1:09:47 make money
1:09:54 with um wondering Sage oh wait wondering
1:09:58 Sage that would be nice Zoom to
1:10:03 record go to your profile and look up
1:10:06 your
1:10:08 likes did I like it I don't think I
1:10:11 liked
1:10:13 it I don't know I don't know if I did
1:10:25 [Music]
1:10:28 red truck 101 yeah go go have ai take
1:10:31 your notes [ __ ] this nonsense with
1:10:33 actually having to although when you
1:10:36 write notes down it it you learn things
1:10:39 in a different part of your brain so I'm
1:10:41 actually a big fan of analog note taking
1:10:45 you know what's funny about analog note
1:10:47 taking is I can't ever read my
1:10:48 handwriting again um and I never go back
1:10:51 and look at it anyway
1:10:54 but with chat GPT you can upload your
1:10:57 handwritten notes and it can read them
1:11:01 so you could be in a lecture taking
1:11:04 notes in fact let's go let's go play
1:11:07 with this so let's let's do a roll our
1:11:09 own I just reached the end of Deco here
1:11:12 oh that sucks you ran out of credits or
1:11:14 whatever that stinks I rarely took notes
1:11:17 couldn't read them if I did yeah same
1:11:18 here Joker but let's let's go here
1:11:20 here's what we're going to do we're
1:11:21 going to go um handwritten
1:11:27 class note or lecture
1:11:30 notes
1:11:33 lecture
1:11:34 notes and then we're going to go to
1:11:40 images okay
1:11:43 so try to
1:11:50 find all right this one's good
1:11:58 lecture notes for my last year okay so
1:12:00 there's some notes right that's that's a
1:12:03 good typical blava
1:12:05 notes so let's do save image
1:12:09 as Go notes I'll do lecture notes so I
1:12:12 can actually find it
1:12:15 again lecture
1:12:17 notes save it to the desktop then let's
1:12:20 go to chat
1:12:23 je har chat Je
1:12:27 I'm looking for a man in finance 65
1:12:30 trust fund 65
1:12:43 appla I think I got to reload I might
1:12:46 have to restart
1:12:50 my my
1:12:52 Chrome no we got it okay um
1:12:59 please help me understand what's written
1:13:02 here
1:13:07 and give
1:13:09 me a downloadable
1:13:11 transcript as a Microsoft Word
1:13:17 document and
1:13:20 then categorize the
1:13:23 notes so that I can easily understand
1:13:27 what the lecture was
1:13:33 about so chat GPT is going to look at
1:13:36 that see where it says analyzing so
1:13:38 right now it's going to use if you click
1:13:40 on this where it says analyzing you can
1:13:42 actually watch it it writes python code
1:13:45 and executes its own python
1:13:48 code so I guess what it's doing right
1:13:50 now is looking at what's
1:13:54 there the initial OCR OCR appears to
1:13:58 have some errors likely due to
1:13:59 handwriting and image quality I'll
1:14:01 refine the extraction please hold while
1:14:03 I take a look at
1:14:11 this I might need to stop it and tell it
1:14:13 to do the best it can cuz that
1:14:15 photograph had it was cut off please
1:14:17 hold while I work on
1:14:20 this analyzed I don't think
1:14:22 it's view analysis
1:14:27 I'm going to just stop it
1:14:30 um if words are cut off don't worry
1:14:33 about that just do the best you
1:14:42 can took a pick of my notes had I chat
1:14:46 transcribe
1:14:48 it then read my notes back to chat so I
1:14:51 could learn oh that's nice
1:14:58 I've transcribed
1:15:00 it download the lecture notes so
1:15:05 there's there's a downloaded file so
1:15:07 let's go look at that
1:15:22 [Music]
1:15:26 lecture
1:15:27 notes hermen of Suspicion Nothing Is
1:15:30 What It Seems critique as an
1:15:32 intellectual Pursuit is done with the
1:15:34 intent to uncover the latent
1:15:37 meaning Rita felsky the anti- critique
1:15:41 critic critique is negative critique is
1:15:44 secondary critique is
1:15:47 intellectual critique comes from
1:15:50 below critique does not tolerate Rivals
1:15:53 so that's pretty cool so there's all our
1:15:54 notes boom done then let's go to chat J
1:16:00 categor the human etics of Suspicion
1:16:03 humanetics is that right oh no her
1:16:07 hermeneutics the hermeneutics of
1:16:10 Suspicion so I'm going to go um
1:16:14 WTF
1:16:16 is Hume wait hem wait what is it I don't
1:16:20 even know the word her her
1:16:23 entics Herman
1:16:29 [Laughter]
1:16:32 tic so those of you that got book
1:16:34 learning you might know what hum her
1:16:38 hermeneutics is but I don't it's the
1:16:40 study of
1:16:42 interpretation especially the
1:16:43 interpretation of text language and
1:16:46 symbols originally it referred to the
1:16:48 interpretation of religious texts like
1:16:50 Bibles but over time it
1:16:53 expanded to the interpretation of liter
1:16:55 legal text and social
1:16:57 phenomenon comes from the Greek Greek
1:17:00 word heru which means to interpret all
1:17:04 right fine I knew that everybody knows
1:17:06 that everybody knew the the root
1:17:10 of Herman nudix is Herman nuan in Greek
1:17:14 everybody knows that Jesus you guys are
1:17:17 stupid if you didn't know that dumb
1:17:20 Dums R felsky anti- critique approach
1:17:23 questions on the nature of critique
1:17:26 concept and
1:17:28 then yeah and if you if you were in um
1:17:33 Claude you could tell it to make a
1:17:38 um a Whata call it an interactive
1:17:42 dashboard let's go try that let's go try
1:17:45 cloud cloud cloud cloud.
1:17:48 a hello
1:17:54 Cloud uh uh uh uh uh uh uh add
1:17:58 content lecture notes wait we want the
1:18:01 picture lectures.
1:18:05 jpeg
1:18:08 uploading upload doxer images okay so
1:18:11 I'm uploading an
1:18:19 image it doesn't seem to like the
1:18:22 image um let's write our prompt
1:18:28 read the
1:18:30 notes from this
1:18:32 lecture and create an interactive
1:18:39 dashboard it's not
1:18:43 working oh uh no I just I just logged
1:18:46 into this
1:18:47 huh this should work
1:18:58 I'm going to guess it was the art of
1:19:00 neutering
1:19:04 Hermes I've been trying to use cursor
1:19:07 that's good we all knew that fisheye
1:19:10 roll hi everyone 's here Claude from the
1:19:15 clan mclaud he is
1:19:18 Immortal good solid solid reference
1:19:21 what's going on here Claude why do you
1:19:23 not like this image let's go try to save
1:19:25 save
1:19:26 this as a different kind of image hang
1:19:30 on go here open this
1:19:34 jpeg can I export this as
1:19:38 export as let's try
1:19:42 PNG all right then let's go back to
1:19:47 Cloud capture screenshot oh we could
1:19:50 capture a screenshot
1:19:56 nah that seems like we're going to we're
1:19:59 going to add the
1:20:06 PNG
1:20:09 huh it ain't working let me quit Chrome
1:20:12 I have a feeling this is a local cash
1:20:14 issue or a lo lo local memory
1:20:19 issue we have an issue
1:20:22 people C
1:20:25 let me open
1:20:29 Croom
1:20:31 Croom let's go get our 14 tabs restore
1:20:35 all 14
1:20:37 tabs good evening Kyle let's add some
1:20:39 content shall
1:20:41 we I'm looking for a man in
1:20:45 finance all right NOP it looks like
1:20:47 claud's [ __ ] up right now all right
1:20:50 their image upload is not
1:20:53 working ah
1:20:57 anyway so with the lecture notes you
1:21:01 could take notes by hand and then use
1:21:04 these AI tools to to just do a roll your
1:21:06 own notes analysis software and you can
1:21:09 even make a custom GPT that that you
1:21:12 know does all sorts of cool [ __ ] with
1:21:14 them that works the way your brain works
1:21:16 this is part of my problem with
1:21:18 off-the-shelf tools is that they work
1:21:21 the way the brain works of the product
1:21:24 guy that came up with the idea right so
1:21:27 if their brain ain't like your brain the
1:21:29 way they take notes may not work for
1:21:33 you you know what I'm saying 65
1:21:37 BL my main
1:21:40 machine is an arc architecture I got to
1:21:44 go try
1:21:46 another is you pay your bill shut
1:21:50 up using react is that proximity no that
1:21:54 was Cloud that I was
1:22:03 in yep it's not working it is not
1:22:09 uploading but you know what we could do
1:22:11 oh I know what we can do hang on let me
1:22:12 reload
1:22:15 here here's what we're going to do we're
1:22:17 going to add content we're going to add
1:22:19 the
1:22:21 transcript so chat GPT turned those
1:22:24 notes into a a transcript okay so that
1:22:26 worked so so it's it's just got image
1:22:28 issues right now so read the notes from
1:22:31 the lecture okay so let's see I'm just
1:22:33 going to say create an interactive
1:22:37 dashboard out of these lecture
1:22:45 notes to make it
1:22:48 easy
1:22:50 and
1:22:52 visual to learn
1:22:55 the
1:22:59 concepts so I'm in Claude right now
1:23:01 Claude
1:23:02 Ai and I asked it to make an interactive
1:23:05 dashboard and so then it fires up this
1:23:07 thing called artifacts where it writes
1:23:11 the code if you haven't seen this before
1:23:13 this is
1:23:15 Bonkers so it's writing the code it's
1:23:18 breaking all my notes so I took my
1:23:20 handwritten notes I found on the
1:23:22 internet about hermeneutics
1:23:25 uh let's
1:23:29 see um you used an unsupported Library
1:23:33 called accordion please fix this
1:23:39 [Laughter]
1:23:44 crap by the way welcome to Jonathan
1:23:47 Harris who's one of the new mods and
1:23:49 thank you to all the other mods how
1:23:51 y'all doing tonight
1:24:03 so look we've got an interactive here's
1:24:05 a critique panel critique is negative
1:24:09 adversarial and if I click that open it
1:24:11 says critique often takes an
1:24:13 oppositional stance towards its subject
1:24:15 matter here's
1:24:18 Alternatives look at this I got an
1:24:20 interactive dashboard of my notes
1:24:25 hermeneutics of Suspicion Nothing Is
1:24:28 What It Seems critique is an
1:24:30 intellectual Pursuit is done with the
1:24:33 intent to
1:24:34 uncover the latent meaning of work Food
1:24:38 For Thought can critique be
1:24:43 generative come on how cool is
1:24:47 this now is this the most interactive
1:24:50 brilliant thing we've done no
1:24:52 but 10 minutes ago we had handscroll
1:24:56 Chicken Scratch we found on the
1:24:59 internet so you could take the notes you
1:25:01 took in your lecture and within 10
1:25:05 minutes be creating a
1:25:09 something [ __ ] Bonkers like it even
1:25:12 it even does like little little
1:25:15 icons and then if you want to learn
1:25:17 something new flip over to the code
1:25:20 view learn the code that it wrote Let's
1:25:22 see what it does here it's importing
1:25:26 some
1:25:29 libraries creating
1:25:31 some
1:25:34 items it's writing things in some sort
1:25:37 of HTML with divs and buttons and [ __ ]
1:25:41 like that it's writing HTML or react I
1:25:43 think it's writing
1:25:47 react it broke the notes up into little
1:25:50 chunks
1:25:58 you could come over here and you could
1:26:01 say explain to me what language you
1:26:04 wrote this
1:26:06 in
1:26:08 and can you recreate the
1:26:13 code in a highly commented way so I can
1:26:17 understand what's happening in
1:26:23 it certainly I wrote the code in
1:26:26 JavaScript specifically
1:26:30 react which is a popular JavaScript
1:26:32 library for building user interfaces
1:26:34 react allows us to create reusable UI
1:26:37 components and manage State efficiently
1:26:40 and quite frankly I mean if you're not
1:26:43 managing your state efficiently what are
1:26:44 you doing with your life you big dumb
1:26:47 dumb I'll recreate the code with
1:26:49 detailed comments in it so
1:26:52 now if I go look here
1:26:55 import react so now so now all the code
1:26:57 is commented it didn't change the
1:27:10 code but it gave me a commented a highly
1:27:13 commented version of it so I could be
1:27:16 learning my notes from my lecture or I
1:27:18 could go down an add rabbit hole and
1:27:20 learn JavaScript or at least
1:27:22 conceptually what's going on here
1:27:26 I
1:27:27 mean do you get what we're living
1:27:34 in you could you could be using using
1:27:37 this in third or fourth grade if you're
1:27:40 teaching in a third or fourth grade
1:27:44 classroom this stuff's like [ __ ]
1:27:51 magic go in and pick apart what what
1:27:54 this thing's
1:28:01 doing I don't
1:28:04 know I
1:28:07 personally think that we're living in
1:28:08 remarkable times we went from hand
1:28:11 scrolled notes to a
1:28:16 downloadable Word
1:28:20 document to a reorganized version of the
1:28:23 notes
1:28:25 we went over to another
1:28:26 tool
1:28:29 Claude And it created an interactive
1:28:32 dashboard of today's
1:28:37 notes Cosmic lover this is so cool to be
1:28:40 at the beginning of an era it is so cool
1:28:44 to be at the beginning of an era it like
1:28:47 take in how rare it is in the history of
1:28:51 humanity to be able to be at the
1:28:53 beginning of of a thing that's changing
1:28:57 everything Kyle please share this on the
1:29:00 AI Salon which which piece of it I don't
1:29:03 think I can
1:29:06 share I don't think I can share this one
1:29:09 because it's got an image oops an error
1:29:11 occurred well that's no
1:29:14 fun lecture notes wait let me hang on
1:29:17 let me reload
1:29:19 this lecture notes
1:29:23 summary it's not letting me share it all
1:29:25 right there's more than one way to skin
1:29:27 this
1:29:27 cat try again lecture note
1:29:33 summary okay here's my lecture note
1:29:37 summary
1:29:39 copy I'm going to go to the AI
1:29:42 salon so if you're not a member of the
1:29:47 salon the
1:29:49 salon you can find it at the salon. so
1:29:52 this is a community of AI optimist so if
1:29:55 you're one of those
1:29:57 weirdos if you're like the person in
1:29:59 your life that's like AI is really cool
1:30:02 if you guys checked out Ai and everyone
1:30:04 in in your life is like uh yeah Jennifer
1:30:08 uh could we maybe not talk about AI
1:30:10 tonight we just want to enjoy our
1:30:12 jalapeno poppers please
1:30:16 thanks if if you experience that you
1:30:19 need to be in this
1:30:22 group if you're the douchebag eating
1:30:25 jalapeno poppers you just enjoy your TGI
1:30:28 Fridays on a Thursday night all right um
1:30:32 so I'm going to go to the Irregulars
1:30:34 channel so we've got our own little
1:30:35 channel uh
1:30:39 here and let me paste that in
1:30:42 there please turn on JavaScript and
1:30:45 reload the page I really don't like
1:30:49 Mighty Network's inability to make web
1:30:52 previews
1:30:56 so let me make a
1:30:58 little uh screenshot of this
1:31:09 thing I think that put it to my get rid
1:31:13 of
1:31:14 this do this do
1:31:17 this no
1:31:32 B okay so we're going to say this
1:31:36 is um let's see a i l
1:31:40 l um
1:31:43 lecture lecture
1:31:47 note
1:31:49 um
1:31:51 reader um chat session
1:31:56 okay so I'm going to post this right now
1:31:58 it's possible it won't work so let me
1:32:00 just go make sure it
1:32:03 works so if I click on
1:32:06 this takes me here if I click on this
1:32:08 that's another thing I [ __ ]
1:32:10 hate okay it seemed to work so go go see
1:32:14 if that uh so I shared it to the
1:32:17 Irregulars channel on the AI Salon
1:32:22 Mighty Networks
1:32:24 in the Irregulars
1:32:26 Channel down toward the bottom in the
1:32:29 club notes all
1:32:33 right and then if you want the Claud
1:32:36 thing let me publish
1:32:40 this publish and copy
1:32:42 link and I'll I'll share this as well
1:32:46 I'll do this as a comment here
1:32:50 here is the Claude
1:32:58 um AR I'll just say the Claud dashboard
1:33:04 of the
1:33:12 notes claw artifact Comet all right
1:33:16 there you
1:33:18 go done done and
1:33:21 done so if you come to the salon
1:33:25 when you first get there there's a
1:33:28 little welcome area that talks about our
1:33:32 philosophy at at the salon play first
1:33:35 mindfully create generously lead that's
1:33:38 the journey to AI literacy then the next
1:33:41 step to do once you get here is
1:33:43 introduce yourself then learn about our
1:33:45 values curiosity playfulness empathy
1:33:49 bravery and
1:33:51 generosity then you can watch past
1:33:53 meetings that we've had we've got two
1:33:54 meetings a month and we've got
1:33:56 recordings of all of them going back to
1:33:58 December 7th 2022 the week after chat
1:34:01 GPT came out is when the salon was
1:34:05 founded um you can RSVP for the next
1:34:09 event we just had our Salon events this
1:34:11 week or Our Salon presents this week uh
1:34:15 and two weeks from now we've got a meet
1:34:18 and greet where you get to meet other
1:34:19 people in the community and then the the
1:34:22 sixth little step in the onboarding
1:34:23 process is jump into the water cooler
1:34:26 and start chatting about stuff all
1:34:29 right so go do that go do that and if
1:34:33 you're like wait where is that I missed
1:34:34 the URL where am I supposed to go right
1:34:36 there the salon and you got to say it
1:34:40 like that it's not
1:34:42 Salon oh what do you get your hair done
1:34:45 there if your hair looks as bad as yours
1:34:47 does I'm never going to go to that
1:34:50 salon and if you're going to troll you
1:34:52 got to be more clever than that it's
1:34:53 just too
1:34:55 obvious always remember that the best
1:34:58 troll is initially interpreted as a
1:35:02 compliment and then you realize how much
1:35:06 it stings so don't be a dumb dumb when
1:35:08 you're
1:35:09 trolling um but but pronounce it the
1:35:14 fellow cuz it makes you sound more
1:35:17 educated and this is an intellectual
1:35:22 organization where it's about learning
1:35:24 and exploration and
1:35:27 connecting and so you have to say oh
1:35:30 yeah uh I was at a meeting at the salon
1:35:34 the other night and everyone will go
1:35:37 oh what's that and you're like well I
1:35:39 can't really tell you it's kind of a
1:35:41 private
1:35:44 organization right and if you just go I
1:35:46 was at the salon they're like oh did you
1:35:48 get your toenails done I don't see
1:35:50 anything different and you're like it's
1:35:53 not that kind of salon and then now
1:35:55 you're in a whole conversation about
1:35:57 what's the history of salons and what
1:35:59 are salons and why was the 19th century
1:36:02 so intellectually stimulating in the
1:36:03 20th century such a soul sucking
1:36:06 hellhole of Industrial
1:36:10 Revolution employment nightmare huh and
1:36:14 how's AI going to take us back to our
1:36:17 humanity and the robots are going to
1:36:19 counterintuitively make us better people
1:36:21 huh how's that going to happen that's
1:36:23 what you talk about it the
1:36:27 Fon you see what I'm
1:36:29 saying no well that's
1:36:33 because I'm not a good
1:36:36 communicator but I'm good enough I'm
1:36:39 smart enough and dug on it people like
1:36:42 me all
1:36:51 right I don't know why I'm in such a I'm
1:36:54 [ __ ] in an Ary mood
1:36:58 tonight my ears
1:37:01 itchy
1:37:03 it's it could just be dandruff it might
1:37:06 be
1:37:10 bugs is anyone hearing an odd noise or
1:37:13 is that just me yeah that's me
1:37:15 talking Frank is in the house Frankie is
1:37:18 in the
1:37:19 house I started late sorry Kyle oh I
1:37:23 started it sorry Kyle oh yeah you did
1:37:27 yeah you started it J Hamilton J
1:37:29 Hamilton started this so okay here's the
1:37:31 thing Jay Hamilton he comes in he's like
1:37:33 I want to mod I want to like be a suppor
1:37:35 of of your you know Channel and all that
1:37:36 and he comes in tonight and he's like
1:37:38 he's like oh yeah some some [ __ ]
1:37:41 friend of my daughters was bitching at
1:37:43 her about Ai and I I have not shut up
1:37:47 about it for two hours so so you have
1:37:51 contributed to the channel so thank you
1:37:59 oh man now I was cranky before I got
1:38:10 on ah let's
1:38:18 see Center up a break in the fourth with
1:38:21 a two set lead 4 to three
1:38:25 can medvid Dev Dave him off I have a
1:38:28 feeling I think this is going to
1:38:31 five medev is weird y'all watch
1:38:35 Tennis he's like so skinny you don't it
1:38:38 doesn't look like he should be able to
1:38:39 hit the ball at
1:38:45 all hry Kyle's AI
1:38:48 twin I don't know what that
1:38:52 means Abba now oh good not just
1:38:57 me hello we're over here Kyle shut
1:39:01 up what the dev are you still hearing
1:39:04 the weird
1:39:07 noise I mean I have my air conditioner
1:39:10 on I hear the noise
1:39:12 too hang
1:39:19 on is there no weird noise now that was
1:39:22 the air conditioner
1:39:25 it's the AC I just hear a fan that's
1:39:29 it sounds like buzzing I hear
1:39:32 AC and maybe computer
1:39:35 fans it was a scratching sort of noise
1:39:38 oh I was talking I was moving my phone
1:39:41 around it's gone
1:39:44 now if you want we could turn this into
1:39:47 an ASMR
1:39:51 Channel hey everybody
1:39:55 my name's
1:39:59 Kyle don't fall
1:40:01 asleep cuz I could say creepy
1:40:04 things it could be awful it could be
1:40:08 just
1:40:09 awful you know what I
1:40:13 mean
1:40:15 but it's already awful oh I'm so
1:40:20 sorry I know my forehead's large sorry
1:40:24 about that I'm so
1:40:29 sorry you're going to need to go out
1:40:31 through the back exit yeah
1:40:36 yeah did you get the memo about the TPS
1:40:39 report
1:40:42 covers um
1:40:53 a friend is using my bathroom designer
1:40:56 GPT she calls it virtual Kelly there you
1:40:59 go perfect well hey Kelly you know what
1:41:02 so okay so Kelly created a a GPT that
1:41:06 does virtual bathroom design she was a
1:41:09 architect designer person for a while
1:41:12 she had a business doing that um we made
1:41:16 digital twins yesterday out of just an
1:41:19 interview with me but Kelly I would
1:41:21 argue that that that virtual design
1:41:23 designer is absolutely a digital twin of
1:41:26 yours I think the def this was pate was
1:41:28 asking you know what's the definition of
1:41:30 a digital twin I think anything that you
1:41:34 put out there that represents your
1:41:36 expertise your personality who you are
1:41:38 how you work if you put it out there and
1:41:41 people can interact with that or you can
1:41:43 interact with that in a way that
1:41:45 leverages
1:41:47 your I don't know intellectual input I
1:41:50 think it's a digital twin so that's
1:41:51 really interesting there's a 60 Herz
1:41:53 audio Buzz that's really weird hang on
1:41:56 um it might just be
1:42:00 um it is it gone now cuz I just
1:42:03 unplugged the power so if it's 60 HZ it
1:42:06 could be
1:42:08 that I'm an AI flub Nova rain no you're
1:42:12 not here here's the deal and I assume by
1:42:15 that you mean AI flub you mean like AI
1:42:17 loser like you don't know enough um
1:42:21 there are no experts right now how can
1:42:23 you find your previous recordings how
1:42:25 can you find your previous recordings
1:42:28 the previous recordings of this channel
1:42:32 are on YouTube at ai learninglab
1:42:37 dtt ai learninglab at a learninglab dtt
1:42:41 for Tik Tok and that's all of these
1:42:43 videos I think I'm two weeks behind but
1:42:47 all of them there's like 700 hours worth
1:42:50 of Tik Tok lives there you're if you
1:42:54 really if you're having trouble sleeping
1:42:56 there's plenty of fodder um and then if
1:42:59 you want the the back recordings of the
1:43:02 salon those are at uh the salon they're
1:43:05 they're in I think it's number four in
1:43:07 that welcoming
1:43:12 [Music]
1:43:14 list is that 60 HZ Buzz still there
1:43:20 [Music]
1:43:39 yeah the these lives started in April
1:43:43 2023 so it's about 18
1:43:47 months no 15 months something like that
1:43:49 whatever some amount of months
1:43:54 okay let me be quiet audio is crystal
1:43:56 clear so you're telling me I recorded
1:44:00 your ASMR for
1:44:07 [Music]
1:44:13 nothing you want to sing again buddy
1:44:24 [Music]
1:44:29 well I heard there was a secret
1:44:33 card David played and it pleased a
1:44:38 lord you don't really care for music do
1:44:44 you it goes like this the fourth the
1:44:48 fifth the M fall and a major lift the
1:44:52 baffle King
1:44:54 composing
1:44:56 hallelujah hallelujah
1:45:00 hallelujah
1:45:04 hallelujah
1:45:07 hallelujah
1:45:11 hallel
1:45:14 [Music]
1:45:17 oh your faith was strong but you needed
1:45:22 proof on a roof a beauty and a moonlight
1:45:27 over through
1:45:28 [Music]
1:45:30 you she TI you to the kitchen chair she
1:45:34 smashed your throne and cut your head
1:45:37 from your lips
1:45:39 she
1:45:43 hallelujah
1:45:46 hallelujah
1:45:49 hallelujah hallelujah
1:45:56 H oh
1:45:58 [Music]
1:46:07 yeah the S suit and TI does he work at
1:46:11 the D
1:46:13 Queen does he listen to rock and roll
1:46:17 does he feed the mean singing
1:46:21 Hallelujah Hallelujah
1:46:24 huah
1:46:27 hallelujah
1:46:32 hallelujah all
1:46:34 right every time Kyle picks up the
1:46:36 guitar I start craving
1:46:38 cheese you and champy
1:46:43 both Pavlov's guitar it's so
1:46:46 [Laughter]
1:46:48 true now there's a 60 HZ how howling
1:46:52 sound
1:46:54 champy they're calling you an annoying
1:46:56 sound that's so
1:46:58 [Music]
1:47:04 [Applause]
1:47:05 rude oh man you just you're just ready
1:47:08 to go aren't
1:47:11 you is this place I can rest my
1:47:16 [Music]
1:47:19 poor gather my thoughts and sweet
1:47:22 silence
1:47:25 no no more singing and is this place
1:47:30 whereing he's not into it anymore all
1:47:33 right when the guitar stops it's there I
1:47:36 don't know yeah it's it must just be a
1:47:37 shitty um a shitty connection I probably
1:47:41 need to restart my phone or something
1:47:43 like that so we'll get out of here cuz
1:47:45 that that sound must be
1:47:47 annoying it's not nearly as annoying as
1:47:50 your voice young man have you considered
1:47:53 doing some sort of scripted situation
1:47:55 where it's not just random chaos and
1:47:58 bizarre sounds and characters that no
1:48:00 one understands have you have is that
1:48:02 something you've considered
1:48:04 sir about as much as I've considered
1:48:07 getting a degree in something and having
1:48:11 qualifications I've seen people say I
1:48:14 made AI watch every episode of
1:48:18 X are they actually doing this um wait
1:48:22 if so
1:48:24 how I made AI watch every episode of X
1:48:28 well so Brandon you can do if you go
1:48:35 to AI studio. goole.com
1:48:39 that will give you access
1:48:43 to Gemini plus 1.5 or Gemini Pro Gemini
1:48:49 1.5
1:48:50 Pro which is multimodal and has a
1:48:54 million token context window and then
1:48:57 you can also flip over to 1.5 Pro
1:49:01 experimental which has a 2 million token
1:49:03 context
1:49:06 window the 1 million token context
1:49:08 window you can upload an hour of video
1:49:11 and it will watch the show so if you
1:49:13 wrote a decent prompt that said explain
1:49:16 the show to
1:49:17 me um you could just upload episodes of
1:49:21 any show you watch that's an hour long
1:49:23 long drama or go to the 2 million one
1:49:25 for two hours of video and you could put
1:49:27 a movie in there or at least two hours
1:49:29 of a
1:49:30 movie the data set says Fine tun
1:49:32 whenever seen these
1:49:36 before best ASMR for the live an audio
1:49:40 Loop of corporate accounts payable nah
1:49:43 speaking just a moment that's good nah
1:49:45 speaking just a moment oh do somebody
1:49:47 have a case of the
1:49:50 Munday that look on his face he's just
1:49:52 like the Mondays the [ __ ] are you
1:49:55 talking about it's the best all right
1:49:59 I'm gonna get out of here let you people
1:50:00 go I want Claud to create a dashboard on
1:50:02 how meetings could be an email you can
1:50:05 absolutely do that okay so Jay Hamilton
1:50:09 here here's how you could actually do
1:50:10 this this would be really
1:50:12 funny take a transcript of a
1:50:16 [Laughter]
1:50:19 call and put it in the CLA and tell it
1:50:22 to make it should this meeting have been
1:50:25 a um an email
1:50:27 dashboard and and you can flip it like
1:50:30 yes or no it's maybe it's got like
1:50:32 categorized notes of the meeting and
1:50:33 then you can flip yes or no and if you
1:50:36 flip it to yes it could have been an
1:50:37 email it writes the
1:50:39 email you could totally do that so
1:50:42 anyway I'm gonna get out of here um
1:50:44 follow my channel if you would if you
1:50:47 want to support it directly you can
1:50:48 subscribe to the lives um it it supports
1:50:52 me I don't think it gets you anything
1:50:54 special other than I can see that you
1:50:56 subscribed and I really appreciate it
1:50:57 and it does support me um how do you
1:50:59 think AI will affect NASA and space
1:51:02 travel well I think I think for science
1:51:05 in general um what's about to start
1:51:08 happening you you've already got some
1:51:11 pretty remarkable things that you know
1:51:13 deep mind if if if you've been paying
1:51:17 attention to what Deep Mind is doing
1:51:21 about six month months ago they released
1:51:25 this
1:51:26 new
1:51:28 um it was a paper but they released so
1:51:32 so deep mind basically looked at all of
1:51:36 the crystallin structures that could
1:51:38 exist and it created 2.2 million new
1:51:41 materials uh Center one Medvedev did not
1:51:44 come back so cers going to the semis
1:51:49 um Deep Mind created 2.2 novel new
1:51:55 crystallin structures of which 380,000
1:51:58 were stable
1:52:01 crystals so new materials in in Material
1:52:05 Science like new materials could be
1:52:08 things like room temperature
1:52:10 superconductors or new ways to make
1:52:12 batteries or things to put on spaceships
1:52:15 to go do space travel or things to make
1:52:18 Ramjet drives or hyper drives or
1:52:21 whatever the [ __ ] drives they're going
1:52:22 to make they're going to need crazy ass
1:52:24 materials to put it into context of how
1:52:28 much of a breakthrough that
1:52:30 is in human history humans have
1:52:34 discovered
1:52:35 22,000 stable
1:52:39 materials with the Advent of
1:52:42 computers they've discovered another
1:52:44 44,000 so you have and I don't know if
1:52:47 it's total or they stack so I think
1:52:50 let's assume they stack so 20 2 2,000 by
1:52:53 humans computer augmented humans
1:52:56 discovered 44,000 so let's call that
1:52:59 66,000 deep mind just released 380,000
1:53:04 new ones on top of
1:53:08 that and that was like a year or two of
1:53:11 of them running their models to create
1:53:14 all this and and now all of those
1:53:17 materials are being tested in labs and
1:53:20 you know figuring out which ones are
1:53:22 real which ones aren all that sort of
1:53:23 stuff so and and we haven't even gotten
1:53:26 to the good stuff yet like we haven't
1:53:28 gotten
1:53:29 to the the version of chat GPT that does
1:53:32 reasoning and like the next version of
1:53:34 these Frontier models are going to be
1:53:36 absolutely insane so I think the the
1:53:38 impact on all Sciences not just space
1:53:40 travel but all Sciences are going to be
1:53:42 absolutely [ __ ] bonkers the next five
1:53:45 years are just going to be I mean I mean
1:53:48 like like curing diseases you know
1:53:52 solving the the climate crisis Sol just
1:53:55 all of the stuff that are are massive
1:53:57 intractable problems are going to be
1:54:00 solved um over the next 5 to 10 years
1:54:03 it's going to be [ __ ] Bonkers it's
1:54:04 going to create new ones right like the
1:54:07 world is not a static place you can't
1:54:09 just fix
1:54:10 it everything will have unintended
1:54:13 consequences and then we'll have to have
1:54:14 new AIS to fix that [ __ ] so anyway all
1:54:17 right I got to go thank you Irregulars
1:54:19 thank you mods uh welcome um Jonathan uh
1:54:23 or or Jay um as you are on here
1:54:27 um yeah let's get out of here so so
1:54:29 we're going to do a little Romper Room
1:54:31 magic mirror Misha's in the house
1:54:33 archetypal architect in the house Cosmic
1:54:35 lover great to see you Joey good night
1:54:38 Angelique how many new materials again
1:54:40 380,000 let me go see if I can find the
1:54:43 article and I will post it
1:54:45 to um let's see Deep
1:54:51 Mind material
1:54:57 millions of new materials discovered
1:54:59 with deep
1:55:04 learning right so new
1:55:06 materials discovery of 2.2 million new
1:55:10 materials new crystals equivalent to 800
1:55:14 years worth of
1:55:18 knowledge 380,000 which are stable
1:55:24 and
1:55:25 so okay so it was 48,000 so 20,000
1:55:30 humans alone
1:55:32 48,000 total with the addition of
1:55:35 computers and then and now there's
1:55:38 421,000 the 380,000 are
1:55:42 additional come
1:55:44 on how [ __ ] cool is that so let me
1:55:47 grab this URL I'm going to share that on
1:55:50 the salon
1:55:53 in the Irregulars
1:55:54 Channel because we have our own little
1:55:56 club and we can be the cool
1:56:00 kids there's
1:56:03 that millions of new materials
1:56:05 discovered I
1:56:07 mean like take that
1:56:13 in like we're pretty bitching as a
1:56:16 speech species right this is what we
1:56:19 discovered this is what we discovered by
1:56:22 adding computers to our brains this is
1:56:25 what it created in a
1:56:29 year [ __ ] Bonkers man all right
1:56:36 um you kidding me uh let's see Jay
1:56:39 Hamilton Cosmic lover great to see you
1:56:41 Dr J Emilio's wife Wolf Man Clint Source
1:56:44 camp in the house Papa JJ great to see
1:56:46 you Danielle Be not Afraid Call Me Al or
1:56:49 call me AI cuz you don't have a you you
1:56:53 make a capital l I'll call you Al but if
1:56:55 you have a lowercase L it's like an
1:56:57 uppercase i it's AI
1:57:00 sorry this is an issue we've talked
1:57:02 about this I know you're sensitive about
1:57:04 it but I'm sorry Nova can wait Nova fan
1:57:08 Nova rain Nova rain good to see you steo
1:57:12 calling in from Down Under
1:57:15 [Music]
1:57:22 okay Tobias in the house I think I got
1:57:25 everyone Joy
1:57:27 pie Joker couldn't miss
1:57:34 Joker all right I am out of here
1:57:37 fantastic night it's a Wednesday
1:57:39 tomorrow's Thursday I'll see you here
1:57:41 same bat Time same bat Place 800m
1:57:43 Mountain we'll do something I didn't get
1:57:46 to using digital twins but I had that I
1:57:48 had to get that [ __ ] off my chest that
1:57:51 15-year-old girl just B the [ __ ] out of
1:57:53 me and it just sent me down a rabbit
1:57:57 hole peace