Jun 25, 2024 - Unleashing AI: Creative Innovations in Music, Film, and Beyond!

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Chapters

Transcript

0:00 ready
0:01 champy you ready for
0:04 singing you ready for singing baby baby
0:07 baby oh baby
0:10 baby
0:15 baby Alia's wife number one number one
0:23 [Music]
0:30 o
0:39 [Music]
1:20 s this L
1:22 Town wonder when things are going to
1:27 change dream my life away
1:32 seems these
1:33 dreams Bunch
1:37 DUS get my nerve up but my past is
1:42 holding me
1:45 down Wonder
1:48 [Music]
1:49 long
1:51 sheep
1:57 around somebody told me once before
2:00 you can never go home
2:03 again won't you
2:06 leave things to Ste me away yeah from
2:11 the truth of who I am and what I believe
2:15 so I thank him for two s with a
2:18 handshake and some sympathy yeah I
2:23 packed up my blue
2:24 jeans and head it for this big prass
2:30 of my
2:33 freedom
2:34 byebye Black Sheep to the black sheep of
2:39 the
2:41 family
2:45 byebye oh that means so very much to
2:52 me sheep to my friends and my
2:56 [Music]
2:58 family byebye
3:01 how I going off and set my
3:05 soul set it free
3:13 [Music]
3:59 w
4:02 [Music]
4:14 [Music]
4:23 you want go at it I'll go at it I'll
4:26 take you
4:27 out I'll take you out like the trash
4:33 [Music]
4:47 hey no rapping no
4:49 rapping what what what are we Eminem now
4:51 all of a
4:54 sudden I don't have a more contemporary
4:56 rap reference than Eminem
5:00 Drake what are we Drake
5:02 [Music]
5:19 [Music]
5:28 now good evening good people
5:31 people see the hill is a quiet
5:34 town where the oak trees
5:37 [Music]
5:38 sway whistle of the train Echoes through
5:42 the
5:44 day people GRE you with a
5:47 KN nothing ever seems to
5:51 change the story still unfold each
5:55 unique and
5:58 strange she grew up to St in the town we
6:02 called
6:03 [Music]
6:08 Home Folks never took to her no matter
6:13 her
6:14 [Music]
6:17 tone wait
6:20 uh
6:23 [Music]
6:25 uh longing to be on the inside wait uh
6:30 long it to be on me inside inside
6:33 inside uh forget the chords forget the
6:37 chords of weird
6:38 Mary I could pull them up but you know I
6:42 thought I knew
6:43 [Music]
6:48 him you know one thing I
6:51 learned I just normally play guitar
6:54 inside you know
6:56 like for me and you know by extension
6:59 for you tap tap tap thank you very
7:01 much and
7:03 [Music]
7:09 uh I started playing some Open Mic
7:11 nights and what I learned was there are
7:15 songs that you think you know that you
7:17 really don't know and they are exposed
7:20 when you go to perform
7:28 [Music]
7:48 [Music]
7:57 wo
8:03 in a Westerly
8:05 [Music]
8:07 Direction this car is my
8:12 train I've been driving I've been
8:16 wondering what it is I'm running from
8:22 again feel like an 80-year-old
8:26 man holding on to 29
8:32 and upe on that
8:33 [Music]
8:36 Horizon is a California
8:39 [Music]
8:46 line up ahead of trucks carrying a wide
8:49 [Music]
8:50 low three fat house cutting
8:55 hair cute little front door and windows
8:58 my Lord
9:01 Broody hen got
9:03 banned all right Julie wait oh J live
9:07 laugh love awesome J left left welcome
9:09 back sorry Broody hen got
9:12 booted what did you do Say booby you got
9:15 Perma
9:17 band it's like I I don't know what what
9:20 the hell is the the rules with Tik Tok
9:22 are so strange
9:27 [Music]
9:36 I would never go back to being
9:42 29 I finally had a v I finally had a
9:45 viral video and then blam they booted
9:48 your account that [ __ ]
9:52 sucks I haven't had a I I haven't had a
9:55 real viral video I had a video
10:00 maybe my third week on Tik Tok that got
10:03 100,000
10:04 views and I was like oh I'm just an
10:06 influencer look at me
10:10 go well 100,000 views whatever it's just
10:14 the beginning yeah that was the last
10:17 that was the last time I got that kind
10:18 of coverage
10:20 [Music]
10:36 how many people got in here 49 thank you
10:38 for the
10:40 loving have the walkin talk
10:42 stopped I haven't done any in about 4
10:46 days so yes are they coming back yes
10:50 it's it we we're in a heat wave here in
10:53 Denver it's like 97 out so even in the
10:55 morning it's kind of gross and I've just
10:57 been lazy so get back to
11:00 [Music]
11:18 [Applause]
11:20 it we're going to have a fun thing I got
11:23 invited um to speak remember when I did
11:26 all that Colorado legislative [ __ ] where
11:30 I testified on Capitol Hill against the
11:33 Colorado legislation which they [ __ ]
11:37 passed um I got invited by that same
11:43 team to worington Washington DC on July
11:48 23rd and 24th there's like
11:51 12
11:53 AI
11:55 Founders and we're going to go do like a
11:57 little AI education tour
11:59 [Music]
12:03 and I think the the AI salon's going to
12:05 get a
12:06 little a little visibility which is kind
12:09 of fun nice ooh it's fancy I know isn't
12:11 [Music]
12:16 it I mean it was pretty cool sitting in
12:18 the in the
12:21 uh the grand I think it was the Grand
12:23 Jury Room where this where the Senate
12:25 hearings were and that was just a state
12:28 house so it'll be pretty cool to s in
12:29 the the real
12:33 [Music]
12:46 Capital if you're wondering but Kyle
12:50 have you heard about real time
12:53 voice yes yes I've heard about it if you
12:57 haven't heard about it real time voice
13:00 was supposed to be launched by now they
13:02 just pushed any roll out back
13:06 until end of
13:09 July and the full roll out to
13:13 fall fall can go many
13:17 [Music]
13:23 months and they're basically saying like
13:25 they're trying to get it to not
13:28 do un desired behavior and I'm like so
13:33 people won't be able to do talkie porn
13:36 on on on their chat
13:40 GP they got to get that dialed out
13:54 apparently you know it's weird I mean
13:57 there there's a part of me that's like
13:59 okay you got to you know you got to do
14:01 the safety stuff it's their brand all
14:02 that sort of stuff and there's a part of
14:05 me it's like well Microsoft Word doesn't
14:08 track what you're
14:10 writing it doesn't prevent you from
14:12 writing smut or whatever
14:16 [Music]
14:23 propaganda Freedom came my way that
14:25 night
14:28 [Music]
14:31 just like a jet plane in and out of
14:34 Side Kyle Kyle sunno please oh Mr it is
14:39 all into sunno now and he wants he wants
14:42 me to use it CU it's about to get
14:47 destroyed cuz all the music labels are
14:49 suing
14:51 them they put out their uh their
14:53 statement today which was basically like
14:56 we want to do cool [ __ ]
15:00 I thought you were going to say the gr
15:02 Old
15:04 Opry all right I'm attending and filming
15:08 an AI thing at the Utah state capital in
15:10 August I'll get more info yeah please do
15:14 uh Jim please please do because um
15:17 depending on what it is I might be able
15:20 to connect you with this these folks you
15:22 might be able to support whatever you're
15:23 up
15:25 to I don't know how that [ __ ] works but
15:28 whatever it's a whole different world
15:30 that politics world man it's [ __ ]
15:32 it's [ __ ] surreal I know I know
15:35 nothing about it so I'm just going to go
15:37 be a sock
15:41 puppet but you know I do have
15:46 opinions that we shouldn't be
15:49 legislating AI out of
15:53 existence we should be legislating AI
15:56 you know
16:00 into into abundance
16:03 because you think China's [ __ ]
16:11 stopping chat gbt has memory now yeah
16:14 they've had it for about 6 weeks
16:18 memory um memory is really cool um
16:22 there's a couple of things about it it
16:23 will just organically save [ __ ] to your
16:27 memory you can also say save this to my
16:31 memory anything where you said save this
16:33 to my memory it won't Purge
16:36 it but it's only got 2,000
16:39 tokens so about 1,500 words is the total
16:43 amount you can have in your memory which
16:45 feels ridiculously small to
16:48 me um so if you want stuff kind of
16:50 permanently in there tell it save this
16:52 to my
16:53 memory and then at some point it'll just
16:55 say sorry your memory's full
16:59 who would ever need more than
17:02 32k wasn't that Bill Gates that said
17:04 that
17:08 [Music]
17:32 all right let's get
17:35 started take to the highway won't you
17:39 lend me your
17:41 name you're in my way seem to be one
17:47 inane mama don't understand it she wants
17:51 to know where I've been I'd have to be
17:55 some kind of natural b f to want to pass
17:58 that way again
17:59 you know that I feel
18:02 [Music]
18:04 it on Country
18:06 [Music]
18:11 Road oh yeah we got him we got one more
18:14 whoop out of the dog all right there you
18:16 go people champy has sung pixel 9 coming
18:19 out in August yep uh Native Gemini
18:22 interesting I know this shirt's a bit of
18:24 a pain in the ass with the letters I'll
18:26 try to keep it a little low um the Kyle
18:29 and Champion show it is indeed it is the
18:32 champion and Kyle show by the way I am
18:34 the backup singer and accompanying
18:37 guitarist yeah who would ever need more
18:39 than
18:40 640k
18:43 exactly yeah boy there did you see holy
18:47 crap this
18:49 thing uh
19:03 meet
19:05 Soo I don't know why it's called
19:10 Soo it's this
19:13 chip you know it's funny is they call
19:16 these things chip there's a lot more
19:18 than one chip on there there are many
19:21 chips why do they call it a chip if
19:23 there are many chips Pate save me
19:30 have
19:31 you
19:32 tested llm Studio have you trusted
19:36 trusted or tested I assume tested llm
19:39 studio um I think I played with it like
19:43 once months ago so not not that
19:47 much
19:50 um
19:52 one so this is a chip that's specialized
19:57 in large language model inference so it
20:01 probably means this can't do
20:04 multimodal inference it's probably just
20:06 text but it does
20:09 500,000 tokens per
20:12 second so the grock
20:16 grq if you go to gro.com and play with
20:18 that it's super fast that's 500 tokens
20:22 per second this is
20:25 500,000 eight of these things will
20:27 replace 160 h
20:30 100s
20:32 so it is some crazy ass meet Soo the
20:37 fastest AI chip of all time with over
20:40 500,000 tokens per second so that
20:42 basically means it would generate
20:45 350,000 words in a second to put that in
20:49 perspective uh what what was it uh The
20:52 Great Gatsby is about 50,000-word
20:56 novel so so seven Great Gatsby in a
21:02 second
21:03 [Laughter]
21:06 squat so crazy that's nuts
21:11 um the the other thing all right so
21:14 we're going to we're going to we're
21:16 going to get into it here so if you're
21:17 new here welcome my name is Kyle Shannon
21:19 this the AI learning lab if you want uh
21:24 to connect to a really cool Community
21:26 wait it's usually just referred to as a
21:28 sing Le chip for
21:30 Simplicity ah see Pate coming in with
21:33 the logic see that's normally the
21:36 explanation I would make pate You' go
21:38 well it's just it's a series of chips
21:40 summon parallel summon cereal I'd be
21:43 like Pate just call it a chip now it's
21:46 the tables have
21:50 turned um go go check that
21:53 out the salon. a click on the first link
21:56 that says AI Salon community
22:00 and that's where a lot of the people
22:02 that hang out here also hang out there
22:05 it's a cool
22:06 Community um I just wanted to get that
22:09 in early because we got some new people
22:11 here
22:18 so to say that I know nothing about life
22:24 sciences it's a dramatic understatement
22:27 I'm clueless but
22:29 but this thing launched today Kyle super
22:33 power chat GPT plugin for
22:37 Chrome um I generally
22:42 avoid Chrome plugins just because I have
22:46 ADD and when I install a plugin I never
22:49 uninstall it and then I end up with like
22:50 42 plugins most of which I don't know
22:53 what they do and most of which cause
22:56 system crashes and make my life not
22:58 happen
22:59 so I've stopped them do we call it a a
23:03 bag of chips from now on that's pretty
23:05 good
23:07 okay so there's a company I've never
23:10 heard of called evolutionary
23:14 scale and they released
23:19 esm3 evolutionary scale model
23:23 3 and it's a life sciences model and
23:27 what it does is [ __ ] Bonkers so let's
23:31 watch the little promo video and I know
23:33 pate's a fan of promo
23:39 [Music]
23:56 videos a tool hang on
24:00 a tool to prototype and create
24:04 proteins now if you don't know if you
24:08 haven't heard and and again I know
24:10 nothing about life sciences so this is
24:12 something that I heard from someone on a
24:14 YouTube video so take this with the with
24:17 with that level of gravity
24:21 um to predict the folding of a
24:26 protein historically would take one PhD
24:29 student their entire tenure so what is
24:33 that 2 years 3
24:35 years to to predict one
24:43 protein and and Alpha fold deep mind
24:47 just released what was
24:50 it
24:52 380,000
24:55 no it was more than oh no they just they
24:58 just released uh Alpha fold 3 which is
25:01 basically like all the proteins and then
25:05 all the molecules of life this is a
25:08 similar sort of thing but it looks like
25:09 this goes a step
25:11 [Music]
25:19 further okay that's like DNA or RNA some
25:22 sort of
25:25 sequence there's the 3D structure of it
25:31 and there's the function what it
25:35 [Music]
25:45 does
25:47 prompt there's a
25:49 structure figure out the folding figure
25:51 out the sequence figure out the
25:53 function
25:56 Carbonic I basically uh carbon
25:59 sequestering
26:02 protein prototype Carbonic and hydras a
26:06 tool uh enzymes that break down plastic
26:09 prompt there's a little piece of the
26:11 puzzle predict the folding there's the
26:15 sequence new
26:18 [Music]
26:24 medicines prototype antibody the the
26:26 company's called evolutionary scale if
26:28 you go to evolutionary scale.ai you can
26:31 see
26:41 this for the next scientific
26:44 [Music]
26:46 Frontier now first of all this video is
26:49 beautiful but you tell
26:53 me tell me this doesn't
26:56 Okay I want you to all close your eyes
26:58 eyes we're going to we're going have a
27:00 little moment I want you to close your
27:03 eyes and I want you to
27:06 imagine you're watching the
27:10 beginning of a really cool science
27:12 fiction movie and it starts out with the
27:15 main
27:17 character walking into his place of
27:19 employment which is a really impressive
27:22 Lobby and on the screens in the lobby in
27:27 this science fiction movie
27:29 tell me this isn't the video that
27:31 wouldn't be
27:33 [Laughter]
27:40 [Music]
27:46 playing little dialogue in front of it
27:48 this is playing in the background you
27:50 hear this music lightly in the
27:52 background you see protein
27:55 folding makes biology programmable
28:04 [Music]
28:16 they could have used some better music I
28:17 think this is beautiful music but it
28:19 just feels very much like a like like
28:21 the beginning of a sci-fi movie anyway
28:23 their their website here is really cool
28:25 um
28:29 so there's acids okay creating creating
28:32 proteins Beyond
28:35 nature so see how that thing's kind of
28:37 glowing in the
28:40 middle fluorescent proteins are
28:43 beautiful in their complexity they are
28:46 responsible for the vibrant colors in
28:47 jellyfish and corals they have become a
28:49 powerful tool in biology with esm3 we
28:53 were able to design an esm gfp a novel
28:59 version of the green fluorescent
29:03 protein generated by esm3 with Chain of
29:06 Thought prompting so the same [ __ ] we do
29:08 with chat
29:09 GPT esm gfp is a vast evolutionary
29:14 departure from natural fluorescent
29:17 proteins it would have taken nature 500
29:20 million years to evolve this
29:25 protein
29:27 what what
29:34 what simultaneously reasons over the
29:37 fundamental properties of a protein
29:39 sequence structure and
29:43 function
29:45 um they can create a protein that eats
29:49 carbon right for climate
29:53 change um a model trained across all of
29:56 evolution
29:59 2.78 billion natural proteins sampled
30:03 from various various organisms and
30:06 biomes
30:08 oops 771 billion unique
30:12 tokens 98 billion parameters in The
30:15 evolutionary scale
30:18 model they have an API they have an open
30:22 model and if you're a scientist you got
30:24 to be just going [ __ ]
30:27 bonkers
30:29 so again I don't know [ __ ] about this
30:32 stuff but evolving a novel protein that
30:36 would have taken nature 500 million
30:39 years to
30:41 evolve shit's getting weird
30:45 man you tell me that's not the beginning
30:48 of a sci-fi
30:49 [Laughter]
30:51 movie crazy isn't it there's so much
30:54 research I want to do with this wow I
30:56 know
30:58 I'm an artist and also a scientist exact
31:01 if I'm an artist I'm also a scientist
31:02 that's exactly right I love this stuff
31:04 what's this website
31:07 evolutionary uh evolutionary
31:12 scale.ai did Microsoft have something
31:15 like this um Google did Google had deep
31:18 well has Deep Mind and deep mind um
31:23 Alpha fold 3 just came out which is
31:27 similarly impressive but what this is
31:29 doing is it's doing not only the folding
31:33 structure but the
31:35 sequence and the
31:38 function so you can basically give it a
31:40 chunk of a protein or a model and it'll
31:43 figure out what that protein is and then
31:46 it'll give you the sequence of that
31:47 protein and then it'll give you what it
31:53 does and if you don't know like proteins
31:56 this is how we exist
31:59 is proteins it's enclosed beta yeah well
32:02 apply if if you got some background and
32:05 and like I don't know enough like I
32:07 would apply but all I would do is look
32:08 at the pretty pictures and go oh look
32:10 it's a pretty picture twirling her B oh
32:12 look at
32:13 gloves you know meanwhile I might have
32:16 you know cured something and not known
32:18 it but but honest to God I
32:22 mean when all of these models start to
32:25 get connected to one another Everyday
32:28 People people are are going to make
32:30 remarkable breakthroughs in all sorts of
32:32 things this is about life sciences but
32:34 there's going to be breakthroughs in
32:36 Material Sciences and all sorts of [ __ ]
32:38 this is too advanced oh I know it's
32:40 crazy it's crazy I don't know [ __ ] about
32:42 it all right um what else did I want to
32:45 look at I wanted to look
32:49 at 11 Labs came out with an
32:54 app so if you don't know 11 labs . a
32:59 they're The Voice synthesis company you
33:01 can make a model of your own voice they
33:04 have hundreds of things um I think haen
33:07 uses 11 Labs technology for their voice
33:10 synthesis stuff I think a lot of people
33:12 do um they came out with an app
33:19 today and it's called
33:22 reader 11 Labs reader
33:34 so here let start and we will see more
33:36 experts in
33:39 acade okay
33:43 so it like 11 most 11 lab stuff it's
33:48 it's a very minimal interface there's
33:51 not a lot going on but right up here is
33:56 the word links so you can go grab a
33:58 hyperlink off the
34:01 internet and so one that I one of my
34:03 favorite um dudes to follow is this guy
34:07 named Ethan mullik if you don't follow
34:09 Ethan mullik you should he's a Wharton
34:12 business school
34:13 professor and he puts out he's got a
34:15 Blog called um one useful thing. org and
34:20 he's
34:20 just [ __ ] stupid
34:24 smart is that even a thing
34:29 and so I popped in his URL of one of his
34:33 articles and so here's his article and
34:36 there his articles tend to be
34:39 long
34:42 um come on AI discussions often fall
34:45 into a weird dichotomy it is either all
34:48 hype or else the age of the Superhuman
34:50 machines is imminent at least for now so
34:54 it just basically turns any article into
34:57 like
34:59 a Blog a podcast and then you can change
35:03 the voices you can do all different
35:04 voices and so like one of the ones in
35:07 here is
35:11 me so now I'm going to read this now
35:15 that is a false dichotomy there are
35:17 areas where AI is better than an expert
35:20 human at particular tasks and areas
35:22 where it is completely useless instead
35:25 of blanket statements we should focus on
35:27 specific
35:28 here was here's Matilda I liked her I
35:30 found Matilda I liked we know that llms
35:33 without further development are already
35:35 useful as a co-intelligence that greatly
35:38 improves Human Performance this tool yes
35:40 this tool is free if you've got an 11
35:43 Labs
35:45 account I think you have to pay for it
35:47 to make your own model if you want to
35:49 make a model of your own voice but if
35:51 you really like hearing yourself talk
35:53 make a model of your voice and then just
35:56 listen to yourself on a podcast every
36:00 day on your drive to work you can talk
36:02 you can read to
36:04 [Laughter]
36:08 you [ __ ] narcissist but we also have
36:11 yet to figure out every strength and
36:13 weakness the first wave of AI adoption
36:17 was about
36:18 individual so that H so that's the
36:21 that's new 11 Labs reader reader is the
36:25 app I don't know if there's one for
36:27 Android because I'm an apple Fanboy so
36:29 screw y'all I like my Apple even though
36:33 they suck now Kyle is much more animated
36:37 yeah exactly that's so here's one of the
36:39 things that I've learned about um
36:42 synthesized voices and maybe the the
36:46 open AI uh Real Time stuff will fix this
36:50 but
36:52 um the more dynamic range you have as a
36:56 human so like with me I'm like I talk
36:58 like this talk like and then I talk loud
37:01 talk fast and I talk
37:03 slow these things don't do good with you
37:06 like cuz cuz what they do is they kind
37:08 of normalize it they sort of average
37:09 your voice down to whatever their model
37:12 is and so all that dynamic range is lost
37:15 so it doesn't sound like you but if
37:18 you're a person that always talks like
37:20 this and you never talk any different
37:21 than this and this is how you talk and
37:24 people have come to accept that this is
37:25 how you talk and you're like oh yeah
37:28 yeah I'm really excited that's very
37:30 upsetting right if you're if if you if
37:33 your dynamic range is is is within a
37:36 very narrow band these synthesized
37:39 voices are going to be they're going to
37:40 sound exactly like you but but if you
37:43 have you know big
37:46 personality hi I'm
37:52 Kyle does anybody like
37:55 me if you're one of those they're not
37:57 going to to do good Stepford Kyle ah I
38:01 see you've listened to my boring podcast
38:03 exactly Jim Ross I'd like to talk to you
38:06 today about self- storage management
38:09 self- storage management is the process
38:12 of managing your self- storage
38:14 properties which you may own or lease or
38:17 rent from some two bit
38:19 Thief my name is Jim Ross welcome to the
38:23 exciting world of storage
38:26 management yeah exactly Jim you're it's
38:29 going to be perfect it's going to sound
38:31 just like
38:33 you Jim actually does have a
38:36 personality Android is weight listed
38:39 okay I'm
38:41 scared well this isn't even the good
38:44 [ __ ] this like this voice is just the 11
38:46 lab stuff which is basically like what
38:48 you have with chat GPT right now or Pi
38:52 but the good stuff that we were supposed
38:54 to get this month that we're not going
38:56 to get now until fall
39:00 Sons a
39:03 [ __ ] have we talked about Cloud
39:05 projects yet not yet that was Brandon oh
39:07 wait
39:08 TK you you the beginning of your names
39:11 are similar and I always confuse you TK
39:15 I was just about to get to that you're
39:17 stealing my
39:19 thunder um which is cool I like that
39:23 you're paying attention keep me honest
39:25 cuz if I miss [ __ ] like I should know
39:28 that I missed it all right so the next
39:30 thing on my
39:31 list evolutionary scale is Claude
39:34 projects well look at that you think I'm
39:38 lying see wait stand still stay
39:43 still 11 Labs app evolutionary scale
39:47 puno chip Claude
39:51 projects your timing's good
39:54 TK Kyle I don't think GPT 5 is coming up
39:57 by July 15th no I don't either I do not
40:01 either I think open
40:04 AI
40:09 well open AI spread themselves really
40:13 thin
40:14 and and they just cut a deal with the
40:17 government the US government there I
40:19 have a feeling it's chaos in there right
40:22 now sons of [ __ ] Frank is that
40:26 you listen you son of
40:29 [ __ ] um all right let's go play with
40:41 Claude okay so if you haven't seen
40:44 Claude yet there's a couple of things
40:45 that you want to
40:47 know one is that it's now got this thing
40:50 called
40:52 artifacts and artifacts is a feature
40:55 that's in testing and so you turn it
41:02 on so if you go to
41:10 your
41:12 account underneath settings is this
41:14 thing called feature preview click on
41:16 that and that's going to bring up this
41:18 thing for artifacts and then you're
41:21 going to want to turn that
41:22 on turn that on yeah I'm playing with
41:25 claw. right now so couple of things
41:29 sometimes in here I will show [ __ ] that
41:31 looks really cool that I have a
41:33 subscription to and then you're like was
41:36 it free and I'm like no you jerk wad
41:40 it's not free cost money um this is
41:45 free you don't get to do it very much
41:47 but it's
41:49 free um this is Claude 3.5 Sonic okay
41:54 so when you have AR artifacts turned
41:59 on Claude you you you use Claude just
42:02 like you use chat GPT so you can say um
42:05 uh let's
42:08 see write me a poem about quantum
42:13 mechanics in the style of an Eminem
42:18 rap
42:20 and oh I don't want to infringe on oh
42:28 write
42:31 me write me a wrap Cipher about quantum
42:39 mechanics all right so just like chat
42:43 GPT it does its
42:49 thing but actually let's go read it and
42:52 see if it's any
42:53 good Quantum realm where particles play
42:56 wave particle dual in full display
42:58 superposition States
43:01 undefined until observed all outcomes
43:04 combined entanglement spooky action at a
43:07 distance
43:10 particles linked despite spatial
43:13 resistance pretty good Schrodinger's cat
43:14 alive and dead Quantum States mess with
43:16 your head all right it's not bad okay so
43:19 that's that but now watch what happens
43:21 if I say
43:32 write me a
43:38 clone
43:43 of the arcade game
43:50 Centipede I'll just do
43:52 that did
43:54 it okay so now look over here on the
43:57 right it spins
44:00 up this new window where it's writing
44:03 the code for a centipede clone and then
44:07 it
44:13 should um it should run
44:18 it Claud does not have the ability to
44:21 generate the to run the code
44:25 um write it using code that you can run
44:38 please so now it's doing it in
44:40 JavaScript so it can run it in this
44:41 window so it's writing the
44:46 code which by the way if you haven't
44:48 seen one of these things write code it's
44:51 Bonkers and now
44:54 here's let's see
45:03 um okay I used to be really good at
45:06 centipede so this I'm I'm playing a game
45:09 I just spoke into existence I just spoke
45:12 this into existance uh it looks like
45:15 this is
45:16 not working I
45:19 mean there's no Collision detection okay
45:22 so then I can just go there's no
45:25 Collision detection
45:28 and my bullet doesn't shorten or split
45:31 the
45:32 centipede and when it reaches the
45:35 bottom it doesn't end the game period
45:39 also the square shapes are really boring
45:42 can you make them look more like the
45:44 game with little mushrooms and a
45:47 segmented centipede and a little
45:49 shooting
45:51 gun that looks less boring than a square
45:55 period what are you a nerd question
45:57 question
45:59 [Laughter]
46:06 mark I okay if you're like Kyle's kind
46:10 of a bully yes I like bullying my chat
46:15 GPT and yes I'm going to call it chat
46:17 GPT I'm going to call X Twitter and I'm
46:19 going to call Claude chat GPT cuz they
46:22 were the first it's like Xerox leave me
46:25 alone I'm old get get off my [ __ ]
46:29 lawn you can make money
46:31 with oh game over hit space to restart
46:35 all right this is
46:38 cool
46:43 uhoh okay let's
46:47 see it looks better
46:51 but the minute the game starts it ends
46:54 so there is some error in Collision
46:56 detection
47:02 AI learning lab where I learned to bully
47:04 my my large language
47:09 model it's like war games I so by the
47:12 way this isn't this isn't the new thing
47:14 they launched today this was the new
47:16 thing they launched three days
47:18 ago if you haven't played with this
47:22 [ __ ] go play with
47:23 it you're like but Kyle I don't know how
47:26 to code I don't know how a
47:28 code I'm not
47:31 coding yeah it's it it I don't know what
47:34 it's doing let's
47:36 see yeah
47:39 it's can
47:44 I
47:46 yeah it still immediately
47:49 ends once it starts the game
47:54 period something is wrong in the end of
48:00 game
48:04 detector see I just told it something is
48:08 wrong in the end of game detector I
48:11 that's not a programming term I don't I
48:14 don't Pate probably knows there's
48:17 probably some you call the end of a
48:19 sequence it's like an if then statement
48:21 if it gets to the end then end it that
48:23 that's basic programming there's other
48:25 [ __ ]
48:28 this really looks like it's dropping
48:29 centipede immediately to the bottom yeah
48:31 maybe it's
48:38 that it it just did it again anyway so
48:42 you'd have to debug that
48:44 but um so that's artifacts uh let's see
48:48 let's see what else we could do um let's
48:50 say oh it's not connected to the
48:52 internet so let me upload
48:57 let me upload something here let me try
48:59 try
49:09 something I'm going to upload a PDF of a
49:12 screenplay here let me let me do a new
49:15 I'm going to do a new thing okay so I've
49:17 got salmon flying e screenplay
49:19 PDF and I'm going to say
49:23 turn this into an Interactive
49:34 education
49:38 module that educates a prospective
49:43 producer about the story and details of
49:48 this
49:54 script this should fire up
49:59 artifacts let's see ruminating on it
50:01 standby I'd happy I'd be happy to create
50:03 that for
50:11 you so this just outlined
50:17 it please make that a
50:20 functional
50:23 interactive educational tool
50:37 yep okay so there it
50:50 goes oh Jason most of the time you have
50:52 to say I want this made with react
50:54 that's really
50:55 smart see see Jason what what you
51:01 actually oh cool this made a little game
51:05 which are the two main time
51:08 periods and locations the story takes
51:11 place
51:12 Vietnam 71 New York 2001 Vietnam 71 Gig
51:17 Harbor Washington
51:19 1991 LA and Cambodia I know the answer
51:23 to this because I wrote the screenplay
51:29 but okay it just made an interactive
51:31 tool which of these characters is not in
51:34 the
51:39 screenplay uh let's see
51:43 um please add sound
51:45 effects
51:49 and a green response if I got the answer
51:53 right and a red response if I got it
51:55 wrong period if I got it right it should
51:58 be a nice ding if I got it wrong it
52:01 should be a scary
52:04 [Laughter]
52:07 Buzz I I'm telling you man like the the
52:12 fact that we can [ __ ] program with
52:15 just
52:16 stupidness is
52:21 remarkable import alerts it's got its
52:23 alert sounds up front there
52:31 I could tell that I don't like this
52:32 gameplay I want it to do something
52:34 different and it just rewrites it oh
52:37 what does with react mean so so let me
52:40 what I was saying to Jason was
52:46 um one of the fears that I
52:51 think a lot of people have right now and
52:54 they're not unjustified is that AI is
52:57 going to get good enough that it's going
52:58 to do your job better than you do and
53:02 that's technically true these things are
53:04 going to get so good that they're going
53:06 to do what we do
53:08 but people who are really good at that
53:11 job to begin with are going to be
53:14 better at getting these tools to do good
53:18 stuff for them than people that were
53:19 clueless about that job like because I
53:21 don't know programming I don't really
53:24 know what this did I don't know that I
53:26 should use react versus this versus that
53:28 versus that if you're a developer if you
53:30 got any kind of developing skills you're
53:32 going to be better at this similarly if
53:34 you're a writer you're going to be
53:36 better at understanding oh that wrote
53:38 some shitty it uses the word delve way
53:40 too much I don't want to delve into the
53:42 tapestry of the [ __ ]
53:44 recontextualization of the
53:47 internet so so while you may have fear
53:51 that this is going to take your job what
53:52 it's going to do is it's going to
53:54 automate the tasks of your job you as an
53:57 expert at that job are actually going to
53:59 still be very very
54:01 valuable at least in the short term for
54:04 getting these janky tools to do
54:06 something all right so I should be able
54:08 to if I click a wrong answer it should
54:10 go red and give me a
54:12 buzz I didn't hear a
54:14 buzz but it did make it
54:22 red what's the central conflict faced by
54:25 the protagonist
54:28 trying to win a fishing
54:30 competition yay I got it right I mean I
54:33 mean this is amazing isn't
54:37 it okay so
54:42 let's so that's artifacts I asked it to
54:44 make a game and it said use re oh and it
54:47 said use react and I quit because I
54:50 don't know anything so literally Mr K
54:52 all you have to do is say use react so
54:54 react is a is a programming frame work
54:57 react like nodejs and react work
55:00 together and I like I don't know [ __ ]
55:02 about it but just use react and then it
55:05 does good I guess um JavaScript means it
55:08 can run in a browser so if it if it's if
55:11 it chooses to use some language that you
55:14 have to run outside of that little
55:15 window then that's a pain in the ass so
55:17 I guess if I I'm guessing using react
55:20 will make it go in there you tech people
55:22 can call me an idiot if I got it wrong
55:25 um okay so now now we're we're back at
55:28 Claude notice down here it says
55:30 introducing projects projects are
55:32 claude's version of Chachi of of chat
55:36 GPT gpts custom gpts so Claude now has
55:41 these things called
55:43 projects so if we go to projects notice
55:46 I've got a salmon flying East guide here
55:48 so I can click on
55:52 that and this project knowledge is
55:55 salmon flying East now couple of things
55:58 about
56:01 it Claude is not connected to the
56:03 internet so if you want to make a GPT
56:05 that like checks the weather and then
56:06 does something with it react is the new
56:08 HTML ah okay great thanks
56:12 Brandon
56:15 um Claude has a 200,000 token context
56:19 window so what they're doing with these
56:22 gpts is they're just taking advantage of
56:24 that context window when you create a GP
56:26 PT on open
56:28 AI you can upload I think it's up to 10
56:31 documents and they can be some big
56:33 amount each and it's it's actually
56:35 creating a rag retrieval augmented
56:38 generation little database for you this
56:41 is not doing that this is throwing
56:44 whatever you upload here into memor into
56:47 the into the chat instance so I uploaded
56:50 my
56:52 screenplay which is a
56:54 126 page screenplay
56:58 which is you know not a lot of if it
57:00 were a novel it would be less Pages than
57:02 that and that's 22% of the knowledge
57:05 used so you're not going to be able to
57:06 put up giant documents but you could put
57:09 up two or three documents and and just
57:11 do your knowledge and then um and then
57:16 there's
57:21 also you can set a custom instruction
57:24 for the project right so this is just
57:26 just like custom instructions is
57:28 projects only for paid I don't think so
57:32 maybe it is can someone
57:34 check I think this is for
57:37 everyone but I I do have a paid clot
57:40 account so it's
57:44 possible um custom instructions I said
57:46 act as an award-winning producer
57:48 screenwriter and director who
57:50 understands the movie business whenever
57:53 anyone asks about the screenplay talk
57:55 about it in the context of it being
57:56 being produced and how it will move an
57:58 audience whenever possible use plot
58:01 points dialogue and imagery from the
58:03 script to bring your answer to
58:06 life um and so I can now go in here and
58:10 say
58:12 um tell
58:15 me about this movie briefly
58:35 saon flying East is powerful and
58:37 emotionally charged drama that explores
58:39 the themes of friendship betrayal and
58:42 the longlasting impacts of
58:44 War set against the backdrop of the
58:46 Vietnam War in its aftermath the film
58:49 follows Jack a former helicopter pilot
58:51 as he grapples with the ghosts of his
58:54 past all right but look what I did here
58:57 in the heart of the story lies Jack's
58:59 relationship with his former comrade
59:01 snake brilliantly portrayed as both a
59:04 loyal friend and a morally ambiguous
59:06 figure that's true hang
59:12 on I had to do a puzzle piece looks like
59:15 paid only ah okay um so this is a paid
59:19 feature um their Dynamic has captured
59:22 intense dialogue driven scenes that will
59:24 keep audiences on the edge of their seat
59:26 one particularly memorable exchange
59:29 occurs when snake confronts Jack years
59:31 later snake hey salmon man
59:35 snake don't make me mess up my hat
59:37 salmon
59:38 Jack the moment encapsulates the film's
59:41 exploration of how the bonds forged in
59:43 war can be an unbreakable and deeply
59:46 complicated right so the fact that it
59:49 you
59:49 know a a it's talking about this the way
59:52 a producer would talk about this and
59:54 then it it quotes the movie it's just
59:57 it's pretty slick it's it's just it's
59:59 good writing um okay so how do you make
1:00:02 one of these things so if we go to this
1:00:04 you go to just like chat GPT in the
1:00:06 upper right hand corner you go create
1:00:08 project then you say you name your
1:00:10 project then you say what your what your
1:00:12 project is trying to
1:00:13 achieve oh so we'll do we'll do
1:00:19 um let's see we'll do um Reno
1:00:33 Reno is it rra
1:00:36 skeller what's the
1:00:40 um um I have a
1:00:46 GPT
1:00:47 called Sin City
1:00:51 sipper that is a [ __ ]
1:00:58 tail
1:01:00 uh
1:01:02 recip
1:01:04 maker give me 10
1:01:08 names for one in Reno so this is going
1:01:12 to be the cheaper cheaper shittier
1:01:15 version of Sin City
1:01:17 sipper our systems have
1:01:21 detected unusual activity coming from
1:01:23 your system yeah that I'm using Claud
1:01:27 is that the is that the unusual
1:01:30 activity the Reno rer Reno
1:01:39 Mixmaster they should all include the
1:01:41 word Reno and maybe something like Reno
1:01:44 wrath skeller or something like that
1:02:02 Reno wrath Skiller re Reno refresher
1:02:05 Reno mixer Reno
1:02:10 Shaker Reno cocktail
1:02:21 corner what's a wrath skill
1:02:28 a type of bar okay good
1:02:35 great I still got it Reno wrath skill
1:02:42 okay I want to
1:02:45 create a
1:02:47 project that takes classic drink R
1:02:51 piece and gives them a Reno twist
1:03:01 that's it and then you know what we can
1:03:03 do no Kyle what God damn that
1:03:10 thing okay uh we can go let's see
1:03:18 um
1:03:20 um
1:03:22 [ __ ]
1:03:24 tail you can't say have that word and
1:03:26 pause
1:03:28 god
1:03:30 um
1:03:33 recipes PDF
1:03:58 what's going
1:04:03 on is it loading
1:04:07 it what's the platform this is
1:04:10 cloud. and I'm making a um project which
1:04:14 is their version of a GPT
1:04:34 is this loading
1:04:42 what an exhaustive collection all in PDF
1:04:45 format okay here we go can I get one
1:04:49 please
1:05:14 [Music]
1:05:22 1895 mixologist
1:05:26 oh these are cool vintage cocktail books
1:05:30 oh this one's cool
1:05:33 1952 connaissance the
1:05:43 chaga can I download this as a
1:05:47 PDF 132
1:05:55 pages anybody know how to use this
1:05:57 stupid site oh these are just
1:06:02 scans oh God dang it that's kind of cool
1:06:06 it's kind of cool this stupid
1:06:12 site does anyone have beta access to
1:06:17 esm3 or now when it will roll out I have
1:06:20 no
1:06:21 idea
1:06:24 um oh really that's just bad
1:06:32 programming uh uh
1:06:36 [Music]
1:06:43 uh what's he doing this seems to be
1:06:45 taking forever could he just get with
1:06:48 it classic cocktails a th000 cocktail
1:06:53 recipes PDF
1:06:57 okay this looks like it's
1:07:00 loading is this actually
1:07:05 text yes okay
1:07:09 download download bartender to the
1:07:13 desktop um little file management advice
1:07:16 um I'm clearly an expert um whenever you
1:07:20 download anything only download it to
1:07:23 your
1:07:23 desktop ideally you're you're going to
1:07:26 want to name it something that's
1:07:28 completely unremarkable you'll never be
1:07:30 able to find again all right you're
1:07:33 welcome okay so let's go back to cloud
1:07:38 cloud and then we're going to go add
1:07:41 content so I'm going to say upload from
1:07:44 device and I'm going to go
1:07:48 desktop
1:07:51 um oh does it have to be a Flippin text
1:07:54 file
1:07:59 I bet it
1:08:01 does add
1:08:04 context add text content all right let
1:08:06 me see if see if I can save this as text
1:08:10 only I probably can
1:08:26 oh it's not downloaded yet that's part
1:08:27 of the
1:08:32 problem
1:08:34 insecure
1:08:38 key wait now can I do
1:08:41 it add
1:08:45 content upload from
1:08:48 device desktop oh yeah now I can do PDF
1:08:51 okay it just wasn't downloaded
1:08:56 all right so I'm
1:08:57 uploading the PDF we'll see if it chokes
1:09:01 on it no 80% of my knowledge used okay
1:09:04 great now I'm going to set my custom
1:09:05 instructions so I'm going to
1:09:09 say act
1:09:13 as
1:09:15 as an
1:09:18 Innovative
1:09:21 bartender that selects
1:09:26 a recipe from the uploaded
1:09:30 PDF gives it a Reno
1:09:34 twist and renames
1:09:39 it something fun and exciting
1:09:46 period whenever anyone asks for a
1:09:50 drink you should be pleasant like a
1:09:53 bartender
1:09:57 and do your best to match what they're
1:10:00 asking for with an appropriate drink and
1:10:02 then give it an appropriate twist so
1:10:05 that it's customized for
1:10:07 them all right that was essentially what
1:10:10 I did with Sin City sipper some version
1:10:12 of that all right so I think this is
1:10:16 good we're done I think we're done and
1:10:19 that's that's it it's pretty simple and
1:10:21 so now I'll go um
1:10:28 I'm in the middle of a heat wave I'm in
1:10:30 the middle of a heat wave in Denver and
1:10:33 I want a custom
1:10:38 cocktail to make it all make
1:10:44 sense all right let's see how it does
1:10:46 people
1:10:56 [Music]
1:11:01 still working on it stand
1:11:07 by the Frosty flat irons
1:11:10 Oasis here's what you're going to do
1:11:12 here's what we're going to do an ounce
1:11:13 of vodka blue ciraa 2 oz of pineapple
1:11:18 lemon juice simple syrup handful of
1:11:20 crushed ice we'll shake all that up real
1:11:22 good with some ice strain it into a
1:11:25 glass
1:11:26 to give it that Denver touch we'll
1:11:28 garnish it with a sprig of fresh
1:11:32 Sage grows great in Colorado and a few
1:11:35 blueberries from those Colorado blue
1:11:37 skies the blue color will remind you of
1:11:39 the crisp Mountain Lakes fruity flavors
1:11:42 will cool you down this is better than
1:11:43 Sin City sipper in terms of the writing
1:11:46 the writing here is really good the blue
1:11:49 color will remind you remind you of
1:11:51 those crisp Lakes the F fruity flavors
1:11:53 will cool you down and that vodka kick
1:11:56 well that'll help you forget the heat
1:11:57 for a while how's that sound want me to
1:12:00 mix one up for
1:12:01 you pretty
1:12:06 cool it's pretty cool you know what I
1:12:13 mean pretty cool all right what was the
1:12:16 last thing uh we did Synthesia last
1:12:18 night there's a new 2.0 of Synthesia out
1:12:21 well it's not out there's a new 2.0 demo
1:12:24 movie of the new [ __ ] that's coming from
1:12:27 them which looks pretty
1:12:32 slick that was a
1:12:35 lot a lot of new
1:12:41 stuff do I want to discuss the film
1:12:44 written by chat GPT
1:12:48 well I
1:12:50 just I don't buy it so so there's a film
1:12:54 is getting some Buzz right now because
1:12:57 they pulled its
1:12:59 Premiere because apparently it was
1:13:01 written by chat GPT and everyone was up
1:13:03 in arms about
1:13:09 it I just don't buy
1:13:12 that I mean I know people are pissed off
1:13:16 about
1:13:18 AI but I don't buy that a producers
1:13:22 would let a movie be produced that was
1:13:25 just written by chat
1:13:28 GPT I I mean no one I know no one I know
1:13:33 that does
1:13:35 anything with intentional writing with
1:13:37 chat GPT just says squirt
1:13:41 out a
1:13:43 screenplay so it wasn't written by chat
1:13:46 GPT it was written by a screenwriter he
1:13:48 might have used chat
1:13:52 GPT so this is this is kind of one of
1:13:55 two things this could be here's my
1:13:57 cynical view of this the movie sucks the
1:14:01 script was
1:14:03 shitty
1:14:06 um somebody said hey hey you know Bob
1:14:11 used a little chat chpt to write that
1:14:13 maybe that's one of the reasons it was
1:14:14 shitty and then the other guy goes no
1:14:17 just Bob's a shitty
1:14:19 screenwriter and then and then one of
1:14:21 them is clever and goes hey you know
1:14:24 what what what if we pull the premiere
1:14:26 and say there were protests about the
1:14:28 fact it was written with chat gbt and
1:14:30 then we look good to all our Hollywood
1:14:32 buddies that hate Ai and we'll get some
1:14:35 Buzz for the movie and then we can
1:14:36 release it to
1:14:37 [Laughter]
1:14:42 Netflix that's what I think
1:14:46 happened but sure there could have been
1:14:49 protests don't let the robots write the
1:14:51 movies don't let the robots write the
1:14:53 movies
1:14:55 don't let the steam engine plow the
1:14:57 fields don't let the steam engines plow
1:14:59 the
1:15:02 fields kids still got to learn math
1:15:04 don't allow calculators in college don't
1:15:07 allow calculators in
1:15:13 college the printing press is going to
1:15:15 make the devil's work the printing press
1:15:17 is going to make the devil's work smash
1:15:19 the printing press
1:15:27 I am so [ __ ] exhausted
1:15:31 already with people going smash the
1:15:37 AI read a history
1:15:42 book it's not going
1:15:46 away progress is not going to stop
1:15:50 progressing it's inherent in the name
1:15:57 how long until nextflix has a section
1:15:59 called made made by AI um I think
1:16:01 they'll have one briefly and then we
1:16:04 won't
1:16:07 know
1:16:13 right if I write a kids book
1:16:25 and it's about all sorts of cool AI
1:16:27 terms I didn't write this Brandon wrote
1:16:29 this but Brandon wrote this one night we
1:16:31 were we were playing around
1:16:33 with chat GPT and its ability to do like
1:16:37 letter books and so Brandon did a letter
1:16:40 book called my first journey into the
1:16:43 World of Tomorrow and every letter is a
1:16:45 different piece of
1:16:47 technology and he did a little cute
1:16:48 little picture for each one
1:16:58 Urban farming cute little
1:17:03 picture Urban farming where greens grow
1:17:07 high in City spaces under the sky
1:17:09 rooftops balconies in every nook
1:17:11 Nature's Bounty a closer look it's a
1:17:14 blend of tech and tender care in urban
1:17:17 jungles fresh and fair now let's draw a
1:17:20 picture Lush and Grand of urban urban
1:17:23 farming hand in hand I didn't write it I
1:17:26 curated it exactly here's my
1:17:31 point does it [ __ ]
1:17:35 matter in the
1:17:37 end does it matter if he printed this
1:17:41 with Kindle
1:17:43 publisher
1:17:45 or what whatever the
1:17:48 [ __ ] service he
1:17:51 used yeah Kindle Direct publishing
1:17:57 well that's we this should be declared
1:18:01 this is a Kindle Direct publishing
1:18:05 book there's this should be declared he
1:18:08 used Photoshop to edit some of these
1:18:10 images this should be declared that he
1:18:13 used Microsoft Word to change some of
1:18:15 these sentences it doesn't [ __ ]
1:18:20 matter this song
1:18:23 [Music]
1:18:35 Cena Hill is a quiet
1:18:37 town where the old trees
1:18:41 sway that was written by
1:18:44 AI
1:18:46 completely does it matter if I sing it
1:18:49 like that if you hear me singing a song
1:18:51 in the
1:18:53 park should I put like in AI baseball
1:18:56 cap on it doesn't [ __ ]
1:19:04 matter it's like when all these
1:19:06 companies put together you know they
1:19:08 brought in the chief digital
1:19:10 officer and he's going to deal with the
1:19:12 digital stuff because there's the
1:19:14 business and then there's the digital
1:19:17 [ __ ] let's put it over there in the
1:19:19 digital
1:19:21 ghetto right and we'll put the chief
1:19:24 digital officer over over there and the
1:19:25 chief digital officer can do the digital
1:19:28 stuff and then what do we learn oh
1:19:31 everything's
1:19:34 digital why separate them it's just
1:19:37 business all business is digital
1:19:41 now champ doesn't care if it's
1:19:44 AI so yes I think short-term Netflix
1:19:47 will probably say well let's we're going
1:19:50 to label these filmmakers Ai filmmakers
1:19:53 and and you know they were going to put
1:19:55 them in a special little section where
1:19:57 you can go over there and judge them for
1:19:58 their lack of creativity lack of talent
1:20:01 they just pushed the button and out came
1:20:02 a film and uh yeah we just need to
1:20:05 tolerate it but apparently people like
1:20:07 AI films so we'll create a little AI
1:20:09 section
1:20:12 okay and
1:20:14 then three years after that someone's
1:20:17 going to win an Academy Award for a film
1:20:20 that was entirely AI
1:20:22 generated because there are really good
1:20:24 story Storyteller and they curated it
1:20:27 like Brandon curated those images and
1:20:29 those poems they curated what the tool
1:20:33 produced better than the other Schmucks
1:20:36 and they won an Academy
1:20:38 Award and at some point 10 years from
1:20:42 now 20 years from
1:20:45 now they'll just call them
1:20:48 films or movies or videos whatever the
1:20:52 [ __ ] they call them by then
1:20:56 you know when the digital camera came
1:20:57 out photographers were like well that's
1:20:59 a digital photo that's not real
1:21:05 photography do we make that distinction
1:21:07 now digital photography real photography
1:21:09 no we might say oh that was shot on film
1:21:12 that's kind of
1:21:14 cool I'm going to have an AI Avatar
1:21:18 accept my award for me exactly there you
1:21:20 go Ethan so anyway I know I kind of lost
1:21:23 my [ __ ] right there but it's like I I
1:21:24 just
1:21:26 [Music]
1:21:31 the amount of
1:21:34 people committed to living in the
1:21:39 past and and maintaining the way we do
1:21:42 it now is staggering to
1:21:45 me but I guess that's why I'm a an
1:21:48 instigator and
1:21:49 a you know someone who like like I'm
1:21:52 always like this this seems obvious to
1:21:54 me it seems patently obvious to me that
1:21:58 this [ __ ] is here to stay it's going to
1:22:00 change everything and you might as well
1:22:02 get on the [ __ ] surfboard and start
1:22:04 paddling
1:22:08 out and everyone else is like well we
1:22:11 got to we got to we're going to we're
1:22:14 going to we're going to keep the
1:22:15 umbrellas up right on the
1:22:17 beach well there's a tsunami coming
1:22:20 so I mean you can keep the umbrellas on
1:22:23 the beach but
1:22:26 they going to get washed away yeah but
1:22:28 we got to keep but but we got to keep
1:22:29 the umbrellas here right I know what we
1:22:31 could
1:22:33 do I'm going to get a
1:22:35 lawyer so you said you're saying that
1:22:39 that wave is going to destroy my
1:22:41 umbrellas what I'm going to sue that I'm
1:22:43 I'm going to sue it I'm going to sue the
1:22:46 wave and then we're so to protect our
1:22:49 little Beach area
1:22:51 Cabana in the with the umbrellas and the
1:22:54 in the lounge
1:23:00 chairs that's what's going on right now
1:23:03 Sony Music Universal and whoever the
1:23:05 [ __ ] the third one
1:23:07 waso yio you're breaking our
1:23:11 beach we'll sue you you can't make music
1:23:15 with
1:23:16 music you can't make music inspired by
1:23:18 other
1:23:20 music how do musicians make music it's
1:23:23 all original is it
1:23:26 didn't they grow up like in Tom
1:23:29 petti that that actually sounds like a
1:23:31 Tom petti
1:23:33 [Music]
1:23:40 song
1:23:43 um aren't our brains some amalgamation
1:23:47 of all the [ __ ] we learned over the
1:23:49 years and when we play a chord and it
1:23:52 sounds good to us
1:23:56 that could just be human intuition but
1:23:59 that could
1:24:02 be a certain kind of music made an
1:24:04 impression on me and so when I play a
1:24:06 chord that sounds like that it makes me
1:24:07 happy so I play more like that isn't
1:24:10 that whatso and yudo are
1:24:12 doing they're taking all these different
1:24:15 influences and mashing them together
1:24:25 so I don't know I don't
1:24:27 know I I am I am beamed I love Ai and it
1:24:32 Sparks my creativity exactly well it's
1:24:35 because it's it is not artificial
1:24:39 intelligence this is this is my new
1:24:41 revelation it is collective
1:24:43 intelligence AI works because it's
1:24:46 trained on all of our work which is
1:24:50 that's what people are bitching about
1:24:51 they took my work and I'm not getting
1:24:52 paid they took all of our work
1:24:55 all of our work all of the blog post all
1:24:58 of the Just every [ __ ] thing every
1:25:00 website we ever put up every stupid
1:25:03 [ __ ] comment we made on whatever it's
1:25:05 all in
1:25:08 there by the way if you don't think
1:25:10 Google has all that too and
1:25:13 Facebook they've all got all the data
1:25:15 like all the data is out
1:25:17 there what the Transformer allowed them
1:25:20 to do is sort of squash it into a ball
1:25:22 that we get to tap into the colle ctive
1:25:25 intelligence of everyone that came
1:25:26 before
1:25:28 us that's why it's so good it's why it's
1:25:33 so
1:25:35 warm and and like palpably human you're
1:25:39 like but it's a robot it shouldn't be
1:25:41 this good no it should because what the
1:25:45 technology allows it to do is
1:25:47 do you know cultural
1:25:50 mashups idea
1:25:52 mashups based on your PR
1:25:56 you get to say I want to combine Eminem
1:25:59 rap and quantum
1:26:01 mechanics and then it
1:26:04 goes just like our brains
1:26:07 do that's why it's so
1:26:09 brilliant and we're trying to we're
1:26:11 trying
1:26:14 to
1:26:19 sue against that progress
1:26:25 that threatens our business model well
1:26:28 the steam engine threatened the [ __ ]
1:26:30 horse
1:26:38 Saddlery get over it Saddler Sam the
1:26:42 Borg
1:26:44 Collective we stand on the shoulders of
1:26:46 giants we actually
1:26:49 do imagine if you had access to the
1:26:53 collective intelligence of everyone that
1:26:55 came before us imagine that that's what
1:26:58 it
1:26:59 is that
1:27:02 [ __ ] protein thing that I just
1:27:06 showed they took all of the knowledge of
1:27:10 all of the molecules of life that
1:27:13 scientists contributed and I'm sure
1:27:16 Pharma companies
1:27:19 patented and they stuck it in the
1:27:21 blender the Transformer blender and and
1:27:24 now it squirts out novel
1:27:30 proteins that would not have existed
1:27:33 that would have taken nature 500 million
1:27:35 years to
1:27:38 produce we get to play with
1:27:44 that if you think a lawsuit's going to
1:27:47 slow that down it's not it's just going
1:27:49 to make the lawyers
1:27:51 rich and by the way those big companies
1:27:54 even if they win everything they win all
1:27:56 the
1:27:58 money you tell me what percentage of
1:28:01 that is going to actually go to the
1:28:02 musics you tell me cuz I'll make a
1:28:09 prediction it will be
1:28:15 zero the costs and the inflation
1:28:19 and there was just after all the legal
1:28:21 expenses there was nothing left over we
1:28:23 took the $500 billion dollars and we U
1:28:26 just put it right in there uh was that
1:28:30 yeah no uh yeah fill it up cuz we we
1:28:32 want to we want to yeah take it to Monte
1:28:35 Carlo yeah the uh we'll take yeah we we
1:28:38 we want a more right outside the race
1:28:41 yeah yeah any oh sorry about that yeah
1:28:43 just logistics for for a little uh
1:28:45 seagoing trip that we're doing on the
1:28:47 new new y the uh the uh the corporate uh
1:28:51 uh the corporate uh um entertaining
1:28:55 platform yeah yeah
1:28:59 yeah
1:29:02 [ __ ] so all right I'm going to
1:29:05 go I'm going to leave you I'm going to
1:29:07 leave you people what do you think is
1:29:09 going to be the big AI
1:29:11 feature that give give us the Kevin
1:29:14 mallister moment next year oh good lord
1:29:17 that's a good question
1:29:26 agents agents and
1:29:29 reasoning reasoning is going to be when
1:29:32 chat gbt answers
1:29:34 you but it doesn't give you the first
1:29:38 answer it answers you and then it
1:29:40 analyzes its own answer and it iterates
1:29:42 on it until it gets it right and then it
1:29:44 gives you the correct answer every
1:29:47 time that's going to be
1:29:49 one and then agents where you're just
1:29:51 like go figure some [ __ ] out for me and
1:29:55 it'll spin up a dozen agents that'll all
1:29:58 go off and do [ __ ] for you and then come
1:30:00 back that's going to be Kevin mallister
1:30:03 we're not even close to that yet so
1:30:05 anyway all right um check out the AI
1:30:09 Salon if you
1:30:10 haven't there's the URL the
1:30:13 salon. go there check it out join
1:30:17 doesn't cost anything
1:30:19 um thank you
1:30:22 Irregulars the public becomes aware of
1:30:25 nanom medicine yeah like everyone's
1:30:26 going to become aware of everything CU
1:30:28 they're going to be able to do it all
1:30:29 I'm telling you man someone in their
1:30:33 kitchen in between burping a baby is
1:30:36 going to cure some
1:30:40 disease like oh you know what would be
1:30:43 cool what would be really cool uh could
1:30:45 you make a novel protein uh that kills
1:30:48 babesia and Bartonella in long-term uh
1:30:52 uh lime patients uh and cures
1:30:57 neuropathy it'll do it and go here's the
1:30:59 protein and she goes oh let me just
1:31:01 submit this she submits it and then some
1:31:04 scientist like holy
1:31:07 [ __ ] this who did this oh that was Sally
1:31:11 from
1:31:13 pipy who's Sally from pipy nobody knows
1:31:25 all right everyone thanks the regulars
1:31:27 thanks mods all right who's in the house
1:31:28 tonight Amelia's wife she was number one
1:31:30 in here uh P modder good to see
1:31:34 you does nobody remember folding at home
1:31:37 that's what this used to
1:31:39 be oh that's funny uh Dr J good to see
1:31:44 you frumple frumple in the house Wolf
1:31:47 Man Clint thank you thank you thank you
1:31:49 thank you t-rock very generous of you
1:31:51 appreciate that
1:31:54 We Didn't Start the
1:31:57 [Laughter]
1:31:59 Fire oceans in the house let's see Janu
1:32:03 in the house steo in the House Brandon
1:32:06 thank you so much Danielle thank you
1:32:07 thank you thank you agents will get
1:32:10 20% yep
1:32:12 exactly um Cosmic lover good to see you
1:32:15 by the way Cosmic lover your lives make
1:32:17 me laugh so much it should you should
1:32:20 consider it AI standup comedy
1:32:24 thank you I appreciate that by the way I
1:32:26 made you a mod so you you have mod mod
1:32:29 uh access now and Vicky can walk you
1:32:32 through all that stuff um all right
1:32:34 everybody great to see you Tuesday night
1:32:37 um I will see you tomorrow I think I'll
1:32:39 be on time should be 8:00 same time same
1:32:42 place be here be here AI play first play
1:32:48 first just go play with this [ __ ] go
1:32:50 play with it go now go play peace cure
1:32:54 disease disase you can now