AI Learning Lab

aiLL Nov 26, 2023 - Mastering AI Tools: How Anyone Can Unlock Creativity

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Video2023-12-162:15:065 views

Description

In this compelling session, host Kyle Shannon provides an inspirational overview of the latest AI tools, demonstrating firsthand how anyone can tap into new levels of creativity. From generating storyboards and production schedules to crafting vivid scene descriptions, Kyle showcases AI's remarkable - and remarkably accessible - creative potential. Whether you're an artist, writer, filmmaker or simply AI-curious, don't miss this lively demonstration of AI in action. Check out Kyle's TikTok channel for more insights: https://tiktok.com/@aiLearningLab #ai #creativity #writing 0:07 - Learning together about the AI landscape 1:31 - Fostering community around AI exploration 3:07 - Emergence of user-friendly AI interfaces 8:17 - Democratization of AI through open-source code 12:43 - Microsoft's Orca 2 vs. OpenAI 15:26 - Speculating on reaching AGI capabilities 18:30 - Preparing for societal impacts of AI advancement 23:48 - Establishing healthy values as AI Salon grows 25:53 - Curating AI tools for creative applications 35:18 - Witnessing the dawn of a technology revolution 40:55 - Anticipating resistance from power centers 43:27 - Importance of critical thinking skills development 45:05 - Artist perspectives on using AI tools 52:05 - AI applications in psychology practice 55:22 - Creating customized therapy chatbots 1:03:08 - Building an AI tutor for neurodiverse students 1:10:13 - Storyboarding films with AI assistance 1:16:38 - Directing the visual style through prompts 1:31:09 - Capturing a creative vision with AI 1:40:55 - Speculating on future multimodal capabilities 1:44:20 - Revisiting old creative projects with fresh eyes 1:55:01 - The rapid evolution of AI's creative skills 2:04:12 - Coping with inconsistencies during the AI journey 2:11:12 - Upholding community values amidst growth

Chapters

Transcript

0:04 [Music]
0:08 champ are you going to
0:13 [Music]
0:26 [Applause]
0:29 sing
0:32 [Music]
0:45 I think you are first forever hook no no
0:47 you were fifth fourth or fifth you were
0:52 close hey everybody Welcome champy says
0:57 hi champy says hello
1:00 happy Sunday evening Dr J good to see
1:08 you yay I'm on time Clint
1:13 Copperhead present Turtles llas
1:18 hedgehogs do what ye do ye fellow
1:23 Irregulars good day good day good day
1:28 Christopher thank you for the Roes the
1:32 roses are
1:34 fantastic are those your car glasses no
1:37 these are my these are my computer
1:39 glasses these are my car
1:43 glasses like a 60s I look like a like a
1:46 well without the
1:48 hair these are kind of like 60s
1:51 uh gmen
1:58 glasses what's happening to BU
2:02 okay got my phone for Tik Tok iPad for
2:04 Discord trying to get Mighty networks on
2:07 my iPad too I know it's a lot right now
2:10 we'll we'll we'll simplify we have like
2:13 another week or so before we you know
2:15 officially switch over so still trying
2:18 to figure Mighty networks out welcome
2:21 everybody welcome welcome welcome
2:23 welcome to the AI learning lab encourage
2:26 more viewers to share okay hey viewers
2:29 would you share this would you share
2:31 this live and particularly if if you can
2:35 share it with friends or family that you
2:37 know it would
2:38 bug that you're watching a Channel about
2:42 AI that would be good let's get some
2:44 people in here we'll give them their
2:45 first Kevin mallister
2:48 moment
2:50 um I don't I I've got I've got zero
2:53 agenda tonight I mean there's there's a
2:55 lot going on there's a lot of lot of
2:57 things rolling but um but I think it's
3:00 just
3:02 uh I don't know I think it's
3:05 just just cranking along like I feel I
3:07 feel like last week was so dramatic with
3:10 the open AI
3:12 nonsense grock is happening wait I'm
3:15 just not paying for it I hear good
3:16 things yeah I heard that too but I do
3:19 not seem to have access to it let me
3:22 see unless I
3:25 do why is this why do I not
3:28 have there we go
3:32 I got no grock I got no grock on the
3:34 left hand side let me
3:36 reload I'm paying the 16
3:39 bucks verified orgs communities messages
3:43 I got nothing people I got
3:50 nothing so we'll say we'll
3:54 say what was that was oh it was Napoleon
3:58 Dynamite the the brother or the cousin
4:01 he talk like
4:03 this with his lower teeth out I thought
4:06 that was the the funniest acting
4:09 Choice what's up
4:12 Napoleon finally having about finally
4:15 having meeting about an AI pilot project
4:17 tomorrow at work brainstorming ideas oh
4:19 that's a awesome
4:21 kruno man it's it's so cool like you've
4:23 gone from like you know secret cyborg to
4:26 like thought leader in your company in
4:28 in couple of months that's very
4:31 cool as they say in the military no joy
4:34 want to explore Google's
4:36 duet
4:38 um possibly
4:41 except I don't think I have access to it
4:45 because I have Google
4:50 workspace and ironically if you pay for
4:53 Google you don't get this [ __ ] although
4:56 maybe they've added it
4:58 docs let me fire up up a Google doc here
5:01 and see if I got
5:07 it hello
5:13 um I don't think I got
5:16 it
5:18 tools
5:21 no why am I not seeing the
5:28 suggestion
5:32 I don't know what does grock mean okay
5:35 so so welcome everyone my name is Kyle
5:37 Shannon this is the AI learning lab we
5:39 will learn about anything AI anything
5:42 you want to talk about pop it in the
5:44 comments below um I'll do my best to get
5:46 everyone up to speed we'll do some
5:48 little level setting here and then
5:51 um and then we can dig in and and I
5:54 don't know do whatever you want to do we
5:56 can we can do some demos we can I can
5:58 answer questions grock is um the new
6:03 Twitter
6:05 um x.
6:08 a which is
6:11 X's AI arm so X used to be Twitter and
6:16 grock is their new chat GPT
6:19 competitor and it's supposed to be
6:21 launching widely to Twitter premium
6:26 members so basically if you're paying 16
6:29 bucks a month for
6:30 Twitter which I just bit my lower lip
6:33 and and paid it because I want to try it
6:36 um it's supposed to be coming out this
6:37 week the the early uh early responses
6:41 are good what's what's interesting about
6:43 it is it incorp well a it's part of
6:46 Twitter right it's part part of X So
6:49 within within your interface you've got
6:51 this tool and it incorporates X data in
6:55 its answers um so yeah yeah that's
7:01 that that's what it is so so we we
7:04 should see it's also got um it's
7:06 supposed to be not biased it's supposed
7:09 to be there's a funny mode where it'll
7:11 just be a smartass um which I think is
7:13 kind of
7:16 funny what did it say it
7:19 said someone Lex fredman asked it asked
7:23 grock about Elon Musk and said you know
7:26 is Elon Musk wrong about this and it
7:29 said oh the same Elon Musk that was
7:31 wrong about something and it said he's
7:33 wrong more than a wrong Omer at a wrong
7:37 [Laughter]
7:40 Factory oh
7:43 man Sher D CER Rose thank you very
7:48 much unbiased I doubt it I know all
7:51 these things are going to be some level
7:53 of bias depending on what they're
7:54 trained on hey Robert
7:58 Rossy
8:04 [Music]
8:06 trained on tweets it's going to be so
8:08 confused you can get more misinformation
8:15 faster yeah grock where where truth is
8:20 [Laughter]
8:21 relative we'll see we'll
8:25 see I mean like like all of these things
8:28 there's always compromises right he
8:29 wants things to be open and completely
8:32 fair and biased it probably means it's
8:33 going to there's going to be some
8:34 downside to that some unintended
8:36 consequence to that so so we'll see
8:40 we'll see how it goes all right so if
8:42 you've got uh any questions or comments
8:45 Kyle are you real or AI I'm gp5 nice to
8:48 meet
8:51 you uh I think I'm real um I do my best
8:58 I do my best to be
9:00 authentic um I can show you uh I can
9:04 show you the fake version of me here you
9:06 want to see this is funny this is funny
9:10 this is comedy this is
9:13 Haha where is it let's see we'll do it
9:16 here we go there and we'll go there and
9:18 we'll go there and go
9:22 there so I'll show you two versions of
9:25 me one is it's my real voice
9:30 but it's not real video this one hey
9:33 it's Kyle Shannon with the AI learning
9:35 lab so the previous video on my timeline
9:39 is an avatar generated with haen where I
9:42 didn't say the words I just typed in a
9:45 script and it synthesized my voice and
9:48 it was decent but it didn't really sound
9:50 like me this so that's that's my
9:53 recorded voice but but faked video and
9:57 this is not even my recorded voice
10:01 where is it hang
10:02 on hey hey it's Kyle Shannon with the AI
10:05 learning lab you know there are some
10:07 days I just don't want to turn on the
10:09 camera days where I don't even want to
10:10 get out of bed well good news we now
10:14 live in a so there's fake me so so we
10:17 can have fake me we can have all the
10:19 fake me you want um Jim Ross any chat
10:23 GPT birthday plans uh yeah I'm just
10:26 going to I I'm just going to go I just
10:29 I'm going to keep going live and
10:30 whenever I need to take a break I'm
10:32 going to take a break so I think I'm
10:33 going to start in the morning and then
10:35 I'll you know I'll do work [ __ ] then
10:37 I'll jump back into the live then I'll
10:39 jump off then I'll jump back into the
10:41 live so wholesome
10:44 exactly a post sci-fi world and I can
10:48 just type up this script and select my
10:50 avatar I can just type up this script
10:54 and yeah crazy crazy crazy crazy your
10:59 avatar sounds more realistic
11:02 exactly my version of you for $35 is
11:07 just as
11:10 good fake you is more handsome hey now
11:14 hey
11:15 now Kevin
11:18 Vasquez all right uh it's supposed to be
11:23 a leaked paper so qar and and what was
11:26 the other one that you asked about cam
11:29 the
11:31 uh Orca I don't know orca orca 2 let me
11:36 just go quickly do a quick search on it
11:37 see what it
11:39 is uh I can tell you what qar is or what
11:42 I what I understand of
11:44 qar um Orca
11:49 2 Microsoft releases Orca 2 a pair of
11:53 small language models oh yeah
11:57 so and these aren't these didn't the
11:59 these things supposed to didn't they
12:01 show up like better than GPT 3.5 or
12:04 something like that orcu 13
12:07 billion Microsoft's AI model that
12:09 challenges chat GPT yeah satian adala
12:13 talked about this he hinted at
12:16 this a th000 plus pre-built AI apps for
12:19 any use case
12:21 interesting what is Ora 2 at its core
12:24 it's a testament to Microsoft's
12:26 commitment he sort of talked about this
12:28 when they were like wow what's going to
12:29 happen if open AI screws up he's like
12:31 well we're into large language models
12:32 we're into small language models which
12:34 is what this is what what's the big deal
12:37 about a small language
12:39 model is that as they as they optimize
12:43 these as as a combination of chips
12:46 getting faster and these things getting
12:49 smaller and more optimized is you're
12:51 going to be able to
12:52 run GPT 3.5 level large language models
12:57 locally on device right right so on your
13:00 phone on your
13:02 computer and they won't have to go out
13:04 to the Internet so they'll be faster
13:06 more responsive they'll be there'll be
13:08 there won't be L latency issues and
13:10 there won't be privacy issues because
13:11 you'll be running things
13:13 locally so that feels like a pretty big
13:15 deal to me although I didn't this the
13:17 first time I'm really seeing it like I I
13:19 knew I knew it was coming and I saw a
13:20 tweet about it today that this thing
13:22 apparently performed quite well um so I
13:25 don't know about that
13:26 qar um is
13:30 the
13:31 rumored
13:33 um the
13:35 rumored break through from CH from open
13:40 AI where they say well maybe we hit AGI
13:44 um but they've been pretty tight lipped
13:46 about it since all the all the debacle I
13:48 don't think they want more drama right
13:50 now let's see Q
13:57 star see if there's any anything
13:59 interesting
14:03 here a lot of thirst traps trying to
14:06 take advantage of people searching for
14:12 qar but whatever let's see qar open AI
14:16 maybe that'll help
14:17 with oops not
14:28 Zi
14:34 yeah I don't think there's anything new
14:36 so so basically what qar is is it's a
14:39 it's
14:41 a it's a an algorithm let's
14:47 see it sits on top of a large language
14:50 model and helps it basically do
14:52 reasoning and they did reasoning on very
14:56 simple mathematical equations but the
14:59 Breakthrough was apparently that it got
15:01 them 100% right and math is very
15:04 different
15:05 than um than large language than
15:09 language um because it requires
15:11 reasoning and you know running down
15:13 different paths and doing that until you
15:16 get it right and apparently that's what
15:19 they've achieved so that's what qar is
15:21 in in a nutshell what are your thoughts
15:23 on artificial super intelligence well if
15:26 we if we get to AGI so so there's
15:29 artificial general intelligence where um
15:32 it's essentially that
15:35 the the large language model becomes an
15:38 autonomous system that performs better
15:41 than most humans or or better than
15:44 humans at most economically valuable
15:47 tasks that's the open AI Definition of
15:50 artificial general intelligence so
15:53 basically when when when the when when
15:57 chat GPT can do your job better than
15:59 than you can and can do essentially any
16:01 knowledge work job better than humans
16:05 artificial super intelligence is where
16:07 these things are smarter than the all of
16:10 us and you
16:12 know I I don't think we're close to
16:15 artificial super intelligence but the
16:17 minute you get to artificial general
16:19 intelligence and if you have
16:22 the um you use the AGI to improve itself
16:28 then you get to artificial super
16:30 intelligence very
16:32 quickly Kyle um what is Apple doing to
16:35 stay competitive with AI you mentioned
16:37 slm being able to do something that the
16:41 pinned comment just went away uh so if
16:44 you could repin that um so so
16:50 Apple Apple's doing what Apple does wait
16:54 you okay Apple uh hang on what's it say
16:59 slm being able to run small language
17:01 model being able to run on devices Apple
17:04 have anything in the works um so I I
17:08 don't know any more than anyone else but
17:10 just paying attention to the The Vision
17:12 Pro launch and the Apple
17:16 um iPhone 15 launch and the recent M3
17:20 launch of the the M M3
17:23 chip all three of those um
17:27 launches
17:31 the first two didn't mention artificial
17:33 intelligence at all but they did mention
17:35 machine learning and inferences and
17:37 embeddings and things like
17:40 that um and in The Vision Pro goggles
17:43 they've got this chip called the R1 I I
17:46 assume it stands for reality one um but
17:49 it's it's it's doing machine learning
17:52 processing on all the sensors in the
17:55 device in real time um and then the they
17:59 mentioned both the iPhone 15 and the M3
18:02 have advanced machine learning
18:04 capabilities so I think apple is um
18:09 building the foundation right now from a
18:11 hardware perspective um they've
18:14 apparently put they they spent in 2023
18:18 their R&D budget was $22.4 billion and
18:22 apparently a lot of that was on on AI I
18:25 feel like I need to do
18:27 homework I know it should
18:29 that's that's kind of what this is
18:31 feeling like right now because it's I
18:33 I'm right there with you I feel like
18:35 there is so much changing so fast I
18:40 don't I don't even know like I kind of
18:43 know how to use chat GPT right now but I
18:48 don't really like it the fact that it's
18:51 gone fully multimodal where it's got
18:53 vision and it can generate images and it
18:55 can hear and it can talk and it can do
18:57 all this there's so many ways to use it
18:59 right now not even dealing with like the
19:01 developer side of this where there's
19:03 there's a whole other world of what you
19:05 can do with their
19:06 API and so I I I feel like I'm right
19:09 there with you that I I spent the last
19:11 year learning a tool that is so
19:13 fundamentally different now that I don't
19:15 know I don't know I don't know how to
19:17 use it um so I feel like a bit of a
19:21 fraud
19:23 here uh so and it does it kind of feels
19:26 like I got to do my homework I gotta
19:27 learn my [ __ ]
19:29 um knowing that that we're about to you
19:33 know it's going to change again and it's
19:34 going to change again and then Google's
19:37 going to come out with Gemini and you
19:39 know grocka is coming out it's going to
19:40 behave slightly differently so so it is
19:43 this is very much a curiosity hamster
19:47 wheel there's one for you are regulars
19:49 to go make something with the Curiosity
19:51 hamster wheel is Agi hold up based on
19:55 RAM GPU speed board Hardware thickness
20:00 [Laughter]
20:05 space now I think AGI is just based on
20:10 the current current large language
20:12 models are really kind of dumb they're
20:14 just
20:15 dumb um calculators they're probability
20:18 engines that just do it over and over
20:20 again they're not aware of what they
20:22 make it sounds like what they did with
20:24 this qar thing is they said okay you got
20:26 a large language model down here that
20:28 spits out a bunch of [ __ ] it's not aware
20:29 of so why don't we build a system up
20:32 here that can take the output of the
20:36 actions that were taken and score them
20:39 did it do good or did it do bad and if
20:41 it did good give it a higher score and
20:45 if it did bad give it a lower score and
20:47 let's keep track of that score over time
20:49 and so what it allows the large language
20:52 model to do is kind of self-navigate
20:54 toward the right
20:55 solution and that that seems to have
20:58 changed everything it but you know I
21:00 don't know but we don't it's all
21:02 speculation at this point
21:04 there's there's a lot of smart people
21:07 out there talking about it um so I am
21:10 just
21:11 uh this channel is more like chat
21:15 TMZ than news or
21:18 science I'm just sort of paring what
21:20 they're saying at this point we'll see
21:22 can AGI create deliverables or just Aid
21:25 in the creation AGI can create
21:27 deliverables AGI can also take actions
21:30 and AGI is
21:32 autonomous so so right now there's hints
21:36 of autonomous Behavior within chat GPT
21:39 if you watch what it does with code
21:41 interpreter where you give it a goal and
21:43 it writes python code and executes
21:46 python code to hit your goal that's
21:50 that's autonomous Behavior but in a very
21:52 sort of contained little thing what will
21:55 happen with AGI is the system will be
21:58 able to take actions on your behalf in
22:02 ways that it determines that it needs to
22:05 do you give it a goal and it will just
22:07 go off and start doing things and taking
22:09 actions and um do it until it gets there
22:13 Kyle play your Funky Music Play That
22:16 Funky Music W
22:22 boy oh champy Apple's interface chips
22:27 are still a bit of an enigma correct uh
22:30 yeah the or inference
22:33 chips yeah Apple's been fairly tight
22:35 lipped what's what what's what Apple's
22:37 going to do is what Apple does
22:40 is when they're ready to launch AI they
22:43 probably won't call it AI they'll
22:45 probably it'll probably be something
22:47 around assistants or agents you know
22:51 something on your
22:53 behalf
22:56 um and and you know know they'll they'll
22:59 probably come out and try to define a
23:01 new sector that that is kind of consumer
23:04 grade AI right I would argue that chat
23:07 GPT and grock and pi and Po and all of
23:11 them are not consumer grade they're easy
23:15 but they're but they're not consumer
23:16 grade right you still have to do
23:18 prompting and you have to do prompt
23:20 engineering you have to figure out what
23:22 plugins are and then you have to figure
23:23 out what code interpreter is and then
23:25 you you got to go use zapier if you want
23:28 to do automations and it's just
23:30 everything right now is just duck spit
23:32 and duct tape janky ass pieces of
23:35 software apple is not going to come out
23:37 with that so when Apple comes out
23:38 there's is going to be tight and
23:40 buttoned up and it will probably be like
23:42 a lot of Apple products more like a
23:45 Walled Garden where you don't have as
23:47 much control and all the Geeks will go
23:49 oh that's not really interesting cuz
23:50 they're they're you know hiding all the
23:52 controls behind that simple little
23:54 interface that cute little
23:57 Avatar
23:59 and then you know millions of people use
24:00 it because you know they don't have to
24:03 figure out [ __ ]
24:04 [Laughter]
24:10 math
24:15 ah acceleration versus
24:18 incrementalism yeah I think we're I
24:20 think
24:21 2024 I think 2024 we're going to we're
24:24 going to we're going to figure out the
24:26 difference between those two Chris um
24:29 being away from AI for 2 weeks starting
24:32 to feel like a caveman Edgar I've been
24:35 doing this every day I took one day off
24:37 on Thursday for
24:39 Thanksgiving and I still I still feel
24:41 like I'm not caught up I I feel like I'm
24:44 I'm really
24:47 behind but I don't think I mean I mean
24:50 most of the most of what people are
24:53 talking about right now is a lot of
24:54 speculative kind of crap so but I just
24:57 have this this overhang that something
24:59 big is about to change and and so it
25:03 probably won't like it's like it's we're
25:08 probably I don't know I mean it's
25:11 possible that we get the GPT store this
25:13 week hamster wheel Show and Tell
25:17 okay wait which Show and Tell Mighty
25:19 networks or or the
25:24 [Music]
25:27 other
25:31 hamster
25:35 wheel that's
25:41 awesome from B Be not Afraid the
25:44 Curiosity hamster
25:45 [Laughter]
25:54 wheel oh so so where these are thank you
25:58 Drew that's really good
26:00 um these are awesome
26:04 um so these are on the AI Salon Mighty
26:07 networks which is our new home for the
26:09 AI salon I can talk about the AI Salon
26:12 maybe what I'll do here is let let me
26:13 let me do some if you're new to Ai and
26:17 you're you're trying to figure this
26:18 stuff out if you haven't really played
26:19 with chat GPT let me let me do a little
26:21 bit of level level
26:24 [Music]
26:27 setting
26:29 okay so ignore the thing on the right
26:32 but Kyle what's behind the thing on the
26:34 right your head's in the way what are
26:35 you doing your head's in the way Apple
26:37 personal genius yeah it'll be something
26:40 like
26:41 that uh I'm here to let people in okay
26:43 great thanks Vicki that's awesome
26:48 um like playing C ketchup in a hamster
26:51 wheel yeah exactly that's exactly what
26:53 it feels like Robert um if you have not
26:57 tried chat GPT I feel like I'm about to
26:59 sneeze so I
27:03 may maybe I don't know let me drink some
27:06 water hold
27:11 on okay if you've not played with chat
27:14 GPT go there right now go to chat.
27:18 open.com and play with that what what
27:21 you'll get access to is chat GPT 3.5
27:24 which is what
27:25 launched a year ago on November 30th so
27:29 today is the 26th so 4 days from now it
27:32 will have been a
27:33 year and the thing that is at chat.
27:37 open.com if you just use the free
27:39 version is is chat GPT
27:42 3.5 what they launched over the summer
27:46 and then dramatically improved over the
27:48 last month GPT 4 is just a holy
27:52 different thing um they're not allowing
27:55 new people to sign up for it yet but I
27:57 would strong strongly encourage you to
27:59 get on the weit list um it's pretty
28:03 remarkable and I can show some of that
28:04 stuff um so so that's that the the other
28:09 thing that you should do if you want to
28:11 get curious about this stuff is start
28:14 understanding that there's other tools
28:16 that are like chat GPT that are not chat
28:18 GPT um
28:22 Claude is probably their biggest
28:24 competitor it's a company called
28:26 anthropic it's a really good tool um
28:29 co-pilot on the lower right there that's
28:31 Microsoft's version of chat GPT 4 um
28:35 it's free and in the absence of having
28:39 access to chat gp4 from open AI you can
28:41 use co-pilot then you've got Gro which
28:44 is from from X from Elon musk's from
28:47 Twitter um that's coming out this week
28:49 and then you got Bard from Google and
28:52 that's been steadily improving since the
28:54 summer it got kind of usable probably in
28:58 July and it's been getting better ever
28:59 since and it's supposed to get
29:00 dramatically better um so go play with
29:04 those and then I would also encourage
29:06 you to go play with
29:07 these These are four other sort of chat
29:10 GPT like things there's Pi which is very
29:13 conversational get the IOS app and put
29:15 it in conversation mode and talk to it
29:18 it's remarkable it it's connected to the
29:21 internet you can talk to it perplexity
29:23 if you do any kind of research is really
29:25 good for that people are swearing by
29:27 that
29:28 um llama 2 is a whole world of
29:30 open-source large language models um
29:34 that that metap put out and the whole
29:37 developer Community is kind of pouncing
29:39 all over those so that's a whole world
29:40 if you want to geek out on open source
29:43 and running things locally there's
29:45 there's just a whole world there to
29:46 explore and then po lets you play with
29:49 lots and lots of different models you
29:50 can also build these things called Bots
29:54 which are just like uh chat gpt's custom
29:57 gpts that they've launched um very very
30:00 similar to that co-pilot is supposed to
30:02 have co-pilots their version of gpts
30:04 yeah exactly so co-pilot um if you go to
30:09 copilot
30:11 microsoft.com they've apparently
30:13 launched but I don't have access to it
30:15 uh a thing called co-pilot
30:17 studio um where you can make customized
30:20 co-pilots so you know their version of
30:23 gpts just as Chris Ramsey said um so so
30:27 go play with all those
30:29 things chat
30:32 GPT those four and those four and and
30:36 now why
30:39 well because they're all kind of good at
30:41 different things and and they're kind of
30:43 one-upping each other in terms of
30:46 capabilities and what you're going to
30:47 find is that some of them do one thing
30:50 that you want to do but don't do another
30:51 thing so well and so understanding you
30:54 know the strengths and weaknesses of
30:55 them is is is really valuable for the
30:58 next six months or so
31:00 um
31:02 and yeah that's that the other thing if
31:05 you are if you're one of those people
31:08 that is curious about this AI stuff and
31:11 you've kind of gotten obsessed about it
31:13 and you're like the only weirdo in your
31:15 group of friends or family that's into
31:18 this stuff and everyone's looking at you
31:19 like you know you're you're just a freak
31:23 um come join the AI salon so this is a
31:26 group that I started
31:28 a year ago we started this one week
31:30 after chat GPT launched and it's it's
31:36 a community of people that are think of
31:39 it like an AI support
31:42 group hi my name is Kyle I'm into AI hi
31:47 [Laughter]
31:50 Kyle and it's it's a really good group
31:52 of people and we just we just moved over
31:54 to Mighty Network so this is the the
31:56 address for the salon so so AIS salon.
31:59 mn. and go look at about the salon it'll
32:03 talk about the salon um you know we're
32:06 we're a ragtag group of Misfits ndo
32:08 Wells and Mis creant who've gathered to
32:10 explore the Uncharted Wilderness of
32:12 generative AI um and it goes on it talks
32:14 about who we are why we do what we do
32:17 what we're trying to accomplish and it
32:18 talks about our values and our values
32:20 are something I'm really proud of and
32:22 and something that I really want the
32:24 group to maintain as it grows um you
32:27 know one of our values is curiosity we
32:30 want people that are curious and and
32:32 inquisitive and trying to learn thank
32:33 you digital Gods really appreciate that
32:35 um generosity is another one it's a big
32:37 one for me that as you're learning stuff
32:40 share it share what you're learning
32:42 there's no reason to keep any of this
32:44 [ __ ] proprietary because it's changing
32:45 so fast that the thing that you think is
32:48 going to give you the competitive
32:50 Advantage is going to be absolutely
32:52 useless a month from now I promise you
32:54 that so just share what you're learning
32:56 because there are are no experts right
32:58 now everyone's trying to figure it out
33:00 and so generosity is about just
33:02 acknowledging that holy [ __ ] we're in
33:04 the middle of this crazy crazy mess um
33:08 exploration is one of our values we want
33:10 people that are kind of actively
33:11 stepping into this adventure
33:13 collaboration that they're willing to do
33:15 it together inclusion they're willing to
33:17 you know accept people from you know all
33:19 different kinds of work all different
33:22 experience levels things like that and
33:24 then finally empathy is our final value
33:27 and I think it's the most important one
33:30 so let's see Jennifer L thank you I've
33:32 been watching you for over a month and
33:34 something thank you very much I
33:36 appreciate that I talk to Pi for hours
33:38 at a time great sounding board yeah papa
33:41 JJ Pi's Pi's really something I've I've
33:44 used Pi for everything from just like
33:47 wanting to kill some time to I had my
33:50 battery go bad on my car and it helped
33:52 me troubleshoot the bad battery thank
33:54 you been watching you for over a month
33:56 and I'm Blown Away by your dedication oh
33:58 thank you very much Jennifer I
34:00 appreciate that yeah I I mean here's the
34:02 deal like do I do I always want to fire
34:06 up the camera and go live seven nights a
34:08 week I
34:10 don't and and yet I'm doing it why
34:15 because
34:19 um I'm need I'm needing Community right
34:23 I'm needing to connect myself with
34:25 people that are excited about about this
34:27 curious about this trying to figure it
34:29 out trying to reinvent themselves trying
34:31 to reinvent their
34:33 business um and it feels really
34:36 important to me and I here's the other
34:37 thing that I know so I was a little bit
34:39 about my background I'm an entrepreneur
34:41 I was an entrepreneur in the early days
34:42 of the worldwide web and
34:47 um and what's going on with AI right now
34:50 is very very similar to what was going
34:53 on uh in the early days of the web and
34:55 and what I know is that
34:58 the
34:58 beginning of a major shift like what AI
35:03 is about to to do to the world you don't
35:06 get to participate in
35:09 that ever right it's it's it's an
35:12 incredibly rare
35:14 moment to be at the beginning of
35:16 something we are absolutely at the
35:19 beginning of this thing what is this
35:21 thing I don't
35:23 know you know it's AGI it's it's AI it's
35:27 Ma Mach learning it's generative
35:29 AI the values are invaluable thank you
35:32 papa JJ I appreciate that I listen I
35:35 think the values here's the thing about
35:37 values if you if you look at these
35:41 values and they sing to you and you're
35:43 like yeah that's like I want to I want
35:45 to hang out with those kind of people
35:47 great this is probably going to be your
35:49 group of people if you look at those
35:51 values and you're like H that seems
35:53 [ __ ] awful then it's going to be
35:54 [ __ ] awful like like values are not
35:57 there just as like you know successories
36:00 posters right this is how I want people
36:02 to behave and if you don't behave that
36:04 way then it's just it's you're not going
36:06 to fit it's just going to be like a like
36:07 a genetic you know uh you know it'll
36:11 it'll be a it'll the organism will will
36:13 reject it and like you won't enjoy it
36:15 and it won't enjoy you so so those
36:17 things are actually really really
36:19 important I've I've grown a lot of
36:21 things over the years and and values are
36:24 super important and not every one likes
36:28 them because in order to have values you
36:30 actually have to have a point of view
36:32 and we
36:34 do so that's that group we will be
36:36 grateful for what you're doing for years
36:38 to come oh thank you be not afraid I
36:40 appreciate that um I hope so I listen I
36:44 it's not about that right now it's just
36:46 about let's [ __ ] figure this out
36:50 together and and what is this I don't
36:54 know I don't know I mean it's it I
37:00 the more I learn about this the less
37:02 educated I
37:04 feel how do you plan to monetize this
37:06 community You're Building any
37:08 advertisements um well we're not going
37:11 to we're not going to monetize the um
37:14 the community so the the AI Salon what
37:17 we're trying to do right now is just
37:18 cover our costs so so we don't have any
37:20 dues um the mighty networks is free like
37:24 the mighty networks is free and is
37:25 always going to be free
37:28 um right now we're taking um donations
37:31 um and
37:34 um uh we're selling monthly sponsorships
37:37 which which are really cheap right now
37:39 basically just to cover our monthly it's
37:41 like 120 bucks a month for Mighty
37:43 networks we we had to do the business
37:44 version of it for the features we wanted
37:47 um I think over time we might allow
37:49 members within the community to create
37:52 courses and they might be able to sell
37:54 those courses so people can you know mon
37:57 ties things individually I think at some
37:58 point we'll have a merch store that you
38:01 know the proceeds of that will will
38:02 support the group but the whole idea is
38:05 like I I want this to be a like an
38:08 ongoing you know group that anyone can
38:11 join the whole idea is being inclusive
38:14 so um so I'll figure out you know it
38:17 it's we want we want people within the
38:21 community to be able to build their
38:24 brand and monetize that but not monetize
38:27 the community itself and so we're we're
38:30 thinking of all the different ways that
38:32 that's possible what's the huge
38:34 performance limiter on the next year uh
38:37 human
38:41 beings I I think the huge
38:48 limiter is going to be human
38:56 beings
39:03 hm I think we're very very very very
39:07 very unprepared for what's coming for
39:09 what's
39:10 here how much for a Bruce Campell
39:13 impersonation see there's how I'm going
39:14 to monetize things I'm GNA be I'm going
39:17 to do I'm GNA do B celebrity
39:20 impersonations for a fee that's that's
39:23 how we're going to monetize this bad
39:25 boy
39:31 that's pretty funny um huge limiter men
39:34 fighting so we can't have nice things
39:36 yeah don't disagree with that yeah yeah
39:38 men being [ __ ] I think I
39:42 think some limiting factors will
39:46 be centers of
39:51 power actively resisting what's coming
39:54 because they're going to realize
39:58 what's coming is going to [ __ ] with
39:59 their business model get your smart
40:01 pants we're about to take off yeah
40:03 exactly exactly
40:07 bran normally if we work with Bri work
40:10 for British hours we like to wear smart
40:14 puns
40:16 um yes yes
40:19 indeed yeah I think there's going to be
40:21 a lot of resistance to this AI stuff
40:23 they're going to demonize it um they're
40:26 going to dismiss it the problem with
40:29 dismissing it is it's already getting
40:31 powerful enough that I think I think
40:34 companies and people are
40:36 realizing
40:38 um we can't really dismiss this but if
40:41 we accept
40:44 it it's a threat to our business model
40:46 and I can talk more about that how do
40:48 you think the government will react when
40:50 we hit AGI Panic
40:55 um I don't know I don't know I I think
41:00 that the fact that that Biden put out
41:02 the 122 page executive order is
41:05 promising I've got a i' I built a GPT
41:08 that if you want to understand the
41:09 executive order I built a GPT that you
41:11 can you can ask all about it um which I
41:15 shared on the AI Salon
41:18 um I think I did it in the show in tell
41:21 Channel um so if you just if you just
41:23 look for that there um
41:28 so I so I think the fact that
41:32 um that that there's awareness at the
41:35 highest level that this is important is
41:37 is
41:39 good
41:41 um the government doesn't understand
41:45 WiFi so so
41:49 um and the government's not good at
41:51 moving
41:53 fast so so it's absolutely possible that
41:56 there's going to be some Panic you know
41:59 if we hit AGI or if it's declared or if
42:02 some version of it is rolled
42:05 out
42:07 um I don't know I like
42:10 I we're in such a like we're living in
42:14 an episode of black mirror right now
42:16 Obama is currently in charge of AI yeah
42:19 he's he's he's one of the senior
42:21 advisers on it I don't know if he's in
42:22 charge of it but he's one of the senior
42:24 advisers for for what to do with it you
42:26 know he's a thoughtful guy he's really
42:28 smart he's internet Savvy like that's
42:31 good like you're going to need some some
42:32 smart people right so if it's Obama
42:35 he'll build a network of people that
42:37 have their [ __ ] together some artists
42:39 and writers are seething still listen
42:41 people are going to be seething it
42:45 I I've written seven screenplays like I
42:48 know that world well I have a degree in
42:50 acting right I moved to New York City
42:52 out of school to pursue a life in the
42:53 Arts most most of my friends from back
42:56 then
42:57 are in that
42:58 business um I have students take moral
43:01 vocal stands against AI in my class
43:04 Christopher Ramsey the younger Jen
43:06 hasn't bought in listen I I agree I've
43:09 got 23-year-old twin boys who have not
43:11 bought in they they could give two shits
43:13 about it they're they're not actively
43:15 against it they're very cynical about it
43:20 um you can take a moral stand all you
43:23 want this channel why I do these lives
43:27 is whether you take a moral stand or not
43:31 whether you I wrote a play over the
43:33 summer Kyle very cool lunar stick
43:37 um whether you um agree with it or not
43:41 whether you love it or hate it whether
43:45 um you're completely ignorant of it it's
43:48 here and it's not going away and it's
43:51 getting stronger and better dramatically
43:55 fast and
43:57 we ain't seen nothing yet
44:00 apparently if the if the if the rumors
44:03 of of sort of what's been put out there
44:05 or are
44:07 true
44:09 that
44:12 the
44:15 um they kind of slow
44:18 [Music]
44:19 rolled the qar stuff they actually
44:22 stopped it before it started improving
44:25 itself
44:27 because if if AGI comes and they start
44:33 having the system improve the system
44:37 then things get really powerful really
44:39 fast now there's pieces of that that are
44:41 remarkable because we start doing things
44:43 like curing diseases really fast and
44:46 curing scientific problems really fast
44:48 and curing economic you know um
44:52 disparity models really fast or societal
44:54 models really fast
44:57 but that's going to break a bunch of
44:59 [ __ ] and so I don't think anyone's
45:01 prepared for that so I don't know I'm an
45:03 artist and I think it's amazing so so
45:05 Otto here's here's the thing that that
45:07 I've seen
45:09 um almost all of the artist friends that
45:13 I know who have tried it are finding new
45:17 ways to express themselves with it and
45:20 and they find it remarkable and then
45:22 some put boundaries in place right so
45:24 I've got one of the one of the women
45:26 who's an organizer for the AI Salon Jane
45:29 she's a writer and she's she she writes
45:31 professionally and she uses AI for
45:33 writing you know all the time and and
45:36 you know it's remarkable and she's like
45:37 I can't imagine doing my job without it
45:39 now but she draws a line she won't do
45:42 her personal creative writing with AI
45:45 That's like a Sacred Space for her so I
45:46 think some artists are finding
45:48 boundaries like what's in what's out
45:51 where can I use it where can I not use
45:52 it other artists are just going [ __ ] it
45:55 I will never use it I'm taking a stand
45:58 and that's where the where the wga
46:00 started was [ __ ] AI
46:02 right they then came around and the new
46:05 Writers Guild contract says we can use
46:08 AI but you can't use AI to replace us is
46:10 effectively what it says it makes you
46:12 think as an artist in a different way
46:14 it's hard to describe I totally agree
46:16 with that like thankful Jones that's
46:18 that's exactly that's exactly what it is
46:20 for me is and and it's funny when I when
46:24 I first started this channel PE a lot of
46:26 the questions I got were well if it's so
46:28 creative doesn't it make you less
46:30 creative and the reality is is no it
46:32 actually makes you more creative because
46:35 you can get ideas out of your head
46:37 faster and in some form of um
46:42 articulation really really quickly and
46:45 what I found is that chat GPT can get me
46:48 to like 80% like that and then the last
46:52 20% like if I get really good at
46:55 prompting and get it really dialed in it
46:57 can get me to like 85% or maybe 90% it
47:00 it almost never gets me to the Finish
47:02 Line um but I get 10 ideas out of my
47:08 head that never would have seen the
47:10 light of day historically and so what
47:12 it's doing is it's just it's it's like
47:14 writer block as a thing of the past
47:18 um my my ability to like my confidence
47:23 the the whole sort of crazy straw of
47:27 creativity and and being neuros spicy is
47:31 is that there's a lot of Shame and
47:34 imposter syndrome and and that sort of
47:35 [ __ ] right and what I found with the
47:38 AI stuff is that
47:41 it it kind of erases that like it's just
47:46 like like you don't have to really
47:50 confront well you know I'm not I'm not
47:52 really good at drawing so that idea for
47:54 that card game would wouldn't be good
47:56 I'd have to go get someone that was good
47:58 at drawing and now I can just have a
48:00 card game and now I can put it out there
48:02 and you know I can't do creative writing
48:06 with it but man do I love its editing
48:09 capabilities and ability to argue yep
48:12 exactly like again that's what what my
48:15 what my strong strong recommendation
48:17 here is start playing with these tools
48:19 and figure out where the boundaries of
48:21 the technology are like what's it good
48:23 at what's it not good at what right and
48:25 then figure out where the boundaries of
48:28 your personal work is right there might
48:32 be some things that you're like oh I'll
48:34 absolutely use it for project management
48:36 but I would never use it to generate art
48:38 because I love illustrating great then
48:40 carve that out and don't do that but use
48:42 it for all this other stuff yep I use it
48:45 for storyboarding for the video process
48:47 yeah
48:48 exactly
48:50 um yeah and and you can take like I I've
48:53 done this now a couple of times where
48:54 I've taken projects that were mothballed
48:58 for
48:59 decades and I was like oh let me pull
49:02 out that half a screenplay I started and
49:05 then and then like within 10 minutes I
49:07 had an outline finishing the screenplay
49:10 and I was like oh that's pretty good I
49:12 could actually finish
49:14 that amazing I want to be my own artist
49:16 why does my creativity have to stop
49:19 where artists Define
49:22 it absolutely it's we're seeing that so
49:25 so Broody you've you've been coming here
49:27 a fair amount now like so you're you're
49:29 uh you are quickly becoming an irregular
49:31 so the people that show up regularly um
49:34 have named themselves the Irregulars and
49:36 that's that's the the real criteria for
49:38 being an irregular is just [ __ ] show
49:40 up but what's happening is a lot of the
49:43 Irregulars are are completely
49:45 Reinventing themselves and what they
49:47 enjoy and what they're good at and what
49:49 they where they're finding they've got
49:51 skills where they never thought they'd
49:53 have
49:54 skills and that's absolutely remarkable
49:58 right and and to your point like why why
50:03 have boundaries we now have a tool that
50:07 can let us level up in the areas that we
50:09 sucked at
50:11 before and then what we can do is just
50:13 think creatively
50:15 horizontally knowing that the tool can
50:18 do some sort of execution on all the
50:19 vertical Specialties just me in the
50:22 trees that's why it's so important for
50:23 teachers to start learning and how to
50:24 teach students to use it
50:27 absolutely absolutely just me and the
50:29 trees this is it's so funny at the
50:31 beginning of the year I was kind of
50:33 agnostic
50:35 about education and I'm like well if if
50:38 Educators don't want to do it that's
50:39 their prerogative and if they want to
50:41 block
50:41 it and and now I'm just like
50:45 no no Educators need to get their [ __ ]
50:49 together
50:52 and understand that
50:54 that
50:56 I mean even if you're just dealing with
50:58 college the world that freshmen today
51:02 are going to enter in four years is not
51:05 going to resemble the world that we're
51:06 in right
51:07 now so freshmen today are being taught
51:11 things that are going to be Irrelevant
51:14 in four years a lot a lot of the things
51:17 but there's going to be new skills that
51:20 are going to be absolutely in
51:22 demand and so I I think it's imper ative
51:27 for educational institutions to learn
51:30 this stuff to get curious about it and
51:34 to start like for me the big skill
51:37 moving forward is critical thinking and
51:39 so to the extent that you're not
51:41 actively teaching and not even teaching
51:44 critical thinking that you're not
51:47 actively exploring critical thinking
51:49 with these tools you're doing our future
51:52 a disservice I'm in training to be a
51:54 clinical psychologist and trying to
51:56 build tools to expand extend my presence
51:59 so sunshower I think that um so if you
52:01 haven't played with it yet go go play
52:05 with so there's an app called Pi this is
52:09 my
52:09 iPad and so go to
52:13 Pi and then you'll see you know it's
52:16 just like a normal chat gbt like thing
52:19 and it'll look like that when you log in
52:21 and then you can you can talk with it
52:25 but in the lower right hand corner you
52:27 see where it says Pi if you click on
52:30 that there's two modes for it now one of
52:34 them is pi just PI right the old one and
52:39 one of them is support
52:42 pi and support
52:46 Pi is like a
52:49 therapy fine-tuned version of Pi and
52:53 then the other thing you can do with pi
52:55 is you can put it into into conversation
52:56 mode so see that little thing right
53:03 there can you describe support pi to me
53:06 and how it's different than normal
53:14 Pi haha you're really hitting me with
53:17 some great questions support p is a new
53:19 in Creative term you just coined support
53:22 p is not a real thing but let's role
53:24 play like it
53:31 no I mean the pi model Pi that you're
53:34 based on there's two different modes
53:36 there's just pi and there's support Pi
53:39 can you talk about what support Pi
53:45 [Music]
53:48 is ah now I understand what you're
53:50 asking you're correct that there are two
53:53 different modes of the P model there's
53:55 the general information mode or just P
53:57 mode and there's the support mode which
53:59 you've been referring to as support P
54:02 the general information mode is designed
54:04 to give accurate comprehensive
54:05 information on any topic you can think
54:08 of whereas the support mode is more
54:10 focused on providing emotional support
54:13 empathy and companionship the support
54:16 mode so so if if you're trying to Fig so
54:19 there's two two things I would do so
54:21 that's Pi I would explore that and then
54:25 the gpts So within chat GPT you can make
54:29 a GPT that can take your philosophy of
54:33 how you want to do therapy and let's say
54:35 you've written a paper on it and you
54:37 want to do your therapy based on your
54:39 you know your dissertation or whatever
54:41 it might be you can use that as
54:43 knowledge to build your own custom GPT
54:45 where someone could interact with a
54:48 version of you and then chat GPT also
54:52 has conversation mode so on the right
54:54 hand side you can also put chat
54:57 GPT into a similar conversation
55:05 mode absolutely let's continue our
55:08 conversation how did you feel during
55:10 these different moments in your dream so
55:13 for example were you amused scared so
55:16 this was a GPT that I made called Dream
55:18 Weaver that's a dream analysis tool and
55:20 so I can have a conversation with
55:23 Dreamweaver and tell it my dream and
55:25 it'll do a whole analysis and even
55:27 visualize it Otto got to got to go eat
55:30 later everyone later Otto thank you for
55:32 coming thank you for hanging
55:33 out
55:36 um all right let's see are there any
55:39 copyright issues to worry about if GPT
55:41 helps you write your screenplay I don't
55:44 think so I mean if if
55:48 listen it's it's on you to not be a
55:52 douche right if if you just say you know
55:56 give me the give me the plot for Star
55:58 Wars and you know make it a western and
56:01 change all the character names then you
56:04 know if you just you know do something
56:06 like that then you're setting yourself
56:08 up for uh a problem but just using it in
56:11 general based on the training I don't
56:12 think so in fact a number of the
56:15 lawsuits where where people are doing
56:17 these class action lawsuits you know
56:19 suing based on content that was used in
56:22 training a lot of those are being um
56:26 tossed out by judges so I I I wouldn't
56:29 worry about it right now I I think that
56:32 IP attorneys are going to be suing each
56:34 other both directions for the next 20
56:36 years so at some point some precedent is
56:39 going to be set that'll that'll do for
56:42 AI what happened with hip hop and
56:44 sampling music in the 80s and 90s where
56:47 where we sort of landed on some version
56:48 of fair use and how people get
56:50 compensated and attribution and things
56:53 like that so some some version of that
56:55 will happen and and there will be tools
56:57 that come out that support it in fact um
57:02 YouTube I just saw a new tool that
57:04 YouTube's got that
57:07 um if you're doing a YouTube short you
57:10 can create custom background music for
57:12 your YouTube short in the style of
57:15 Charlie poth or Tay right so they've cut
57:18 deals with Charlie poo and P T where um
57:23 it'll generate the song that sounds like
57:24 Charlie po wrote it and and it's singing
57:27 and it sounds like him he's probably
57:29 getting paid every time someone
57:31 generates a song um so there'll be all
57:34 sorts of different new new kinds of
57:36 models that come out that'll deal with
57:38 it so but I wouldn't worry about it
57:39 right now just don't go steal you know
57:41 don't go blatantly steal [ __ ] because
57:43 then you'll just set yourself up for a
57:45 for you know trouble um I wonder how
57:48 this can be used to benefit the trades
57:50 I.E construction so anywhere Jerry G
57:52 anywhere where you've got um
57:59 computers
58:02 mediating a
58:05 process is is is going to be set up for
58:08 you you can do all sorts of interesting
58:10 things um so it could be
58:15 um finding ways to do construction
58:18 project planning more efficient more
58:20 efficiently you could you could upload a
58:23 spreadsheet of the last job
58:26 and say you know do some analysis on say
58:29 how can AI be used in construction what
58:32 I would say is this what are problems
58:34 that you're trying to
58:36 solve start with that and say okay if I
58:38 could solve this problem that that would
58:42 that's a major pain point for us and if
58:45 that problem in any way can be used as a
58:48 computer or could use a computer um then
58:51 you could say okay how can I use AI to
58:53 solve that problem and and then you'll
58:55 likely find ways to do it very very
58:58 quickly cuz you can just go to chat GPT
59:01 or any of these other things and just
59:03 say here's the problem I'm facing here's
59:05 how I currently deal with
59:07 it help me come up with a strategy to
59:11 make that better and it will and then
59:13 you'll get inspired you'll be like oh
59:15 and then you'll ask it some more
59:16 questions just think of it kind of like
59:18 you've got a business
59:20 consultant at the ready you have to give
59:22 it lots of instruction you have to give
59:24 it lots of Direction
59:25 but it knows
59:28 everything you can ask for specific NE
59:31 NEC code sections for electrical it's
59:33 pretty cool yeah we uh so my my
59:36 co-founder of my current business
59:38 storyvine she's got a shitty
59:41 construction site next to her house and
59:44 this construction company is just
59:46 they're just violating codes like
59:48 multiple times a day they're just
59:50 they're just shitty and they don't care
59:53 and and so we buil bu her we took the
59:56 Denver building codes website and we
1:00:00 built a GPT so she now has a GPT that
1:00:03 she can use to basically say here's what
1:00:07 they did today is is that um is that
1:00:11 against
1:00:13 code so Kyle come in please come in
1:00:17 where to he gone oh froze come
1:00:22 back the model is being tweaked can you
1:00:24 hear
1:00:25 am I good now tap the tap the hearty
1:00:28 Hearts if you can hear
1:00:31 me okay I'm seeing
1:00:34 aart you're back okay I'm back
1:00:38 cool I don't know what I was saying
1:00:42 um yeah yeah you can do code stuff you
1:00:45 could
1:00:47 do um one of the guys at the building I
1:00:51 work work for created a thing called
1:00:53 maintenance mentor
1:00:56 that um would would do like you know if
1:00:59 you have questions about the a AC or the
1:01:02 heating or Plumbing or electrical it
1:01:05 will help you troubleshoot problems
1:01:06 within the building um so you can it's
1:01:09 just it's kind of endless so again where
1:01:11 I would start is start with the problem
1:01:13 you want to solve first and then go see
1:01:17 how much chat GPT knows or or any of
1:01:19 these tools how much they know um they
1:01:22 will likely surprise you at how good
1:01:24 they are
1:01:25 especially things like construction
1:01:27 there's so much been written on it
1:01:28 there's so much that's been on the
1:01:30 internet about it that it just kind of
1:01:34 assimilates all that information and it
1:01:36 kind of knows everything it's pretty
1:01:37 remarkable how many gpts have you made
1:01:40 I've probably
1:01:42 made I don't know 25 or 30 most of them
1:01:45 I've made live on on on this channel um
1:01:48 we can make one now if you
1:01:50 want um if someone has a specific thing
1:01:53 they want to do I'm happy to do that
1:01:57 hope you have a good holiday Kyle with
1:01:59 your gpts thank you your company
1:02:03 co-founder is my hero oh that's so cool
1:02:06 my
1:02:07 Shiro Monique's
1:02:10 amazing yeah no Monique and I we we knew
1:02:13 each
1:02:14 other I don't know five or six years
1:02:17 before we started storyvine and I was
1:02:19 Consulting with her she had started a
1:02:21 social media
1:02:23 agency and I was Consulting with her on
1:02:25 that and that ended up kind of falling
1:02:27 apart and there were kind of you know
1:02:29 founder issues and things like that and
1:02:31 so I knew she was available and I knew I
1:02:33 wanted to start story Vin and so I
1:02:34 called her up and said hey I've got this
1:02:36 idea you know do you want to start it
1:02:39 cuz I knew she was good at the [ __ ] I
1:02:41 wasn't as we describe our relationship
1:02:43 Becky I'm the hand wavy guy and she
1:02:45 keeps the trains running on time um and
1:02:49 and you know it's been it's been a
1:02:51 really really really good partnership
1:02:53 and if you started companies before
1:02:56 finding good partners is almost
1:02:58 impossible teaching autistic and add
1:03:01 math please do it oh teaching autistic
1:03:04 and add math for for for a GPT we can do
1:03:08 that that would be a good one
1:03:12 um yeah yeah we can do that I'm trying
1:03:15 to think are there
1:03:17 any if you've got any
1:03:19 sources we we'll we'll we'll make one
1:03:21 without sources right now and then I'll
1:03:23 show you how you could improve with
1:03:25 sources so let's go make a GPT he
1:03:27 creates so right now cam on on Mighty
1:03:31 networks um if you go to show and
1:03:35 tell okay hang on a
1:03:38 sec oh wait hold please
1:03:43 hold so I'm in the showand tell channel
1:03:47 on Mighty networks
1:03:49 right and in the lower right that's how
1:03:51 you add a post to show and tell
1:03:58 and then it actually just prompted that
1:03:59 see where it says the hashtag thing so
1:04:03 when you create a
1:04:07 post you bring up a list of
1:04:13 hashtags can you see it oh come on there
1:04:16 you go well they're down there see that
1:04:18 one hashtag is gpts so if you tag your G
1:04:22 you you tag your post in show and tell
1:04:24 with GPT you can then go um sort
1:04:29 by all the hashtags so so there's like a
1:04:32 pull down menu where you can say show me
1:04:33 all the ones that are tagged with GPT
1:04:35 it's not a perfect way so we we might
1:04:38 improve that but right now how we're
1:04:39 handling it is with hashtags so share it
1:04:42 in Show and Tell and just tag it just
1:04:44 tweak my GPT if you want Kyle
1:04:49 oh that's right
1:04:52 Pate so pate's got I we don't you know
1:04:55 what I think what I'd rather do is point
1:04:57 them to your so whoever just said to
1:05:00 create a
1:05:01 GPT um for autistic uh and add
1:05:07 students um on the channel Pate is a is
1:05:11 a a he's a swell guy works at Google he
1:05:16 heads up the AI mechanics Guild on the
1:05:20 AI salon and he
1:05:23 created a
1:05:25 GPT for for you know in that
1:05:29 neighborhood and so that could be
1:05:31 modified so let me go to chat GPT here
1:05:34 hang
1:05:35 on now I think did I look at it I'm sure
1:05:39 I looked at it here
1:05:43 recently explore hang
1:05:53 on recently
1:05:59 used where is it P what's it called
1:06:02 again top of the hourish Irregulars
1:06:11 present ask
1:06:18 Mary
1:06:20 H I don't know how to
1:06:23 see
1:06:26 unambiguous Ally or Aly Ally hang
1:06:31 [Music]
1:06:33 on delete
1:06:48 post hold
1:06:53 please
1:07:01 search and M big
1:07:10 us all right if you go to go to go to
1:07:14 Mighty networks and find it yeah if you
1:07:17 go to the AI Salon Mighty networks and
1:07:19 search for unambiguous
1:07:21 Ally this is the GPT that Pate wrote
1:07:25 for
1:07:27 empowering neuros
1:07:30 spices all right um so that's a good one
1:07:35 so let's let's do something else since
1:07:37 since that one's already built like
1:07:38 that's a good one and I actually want to
1:07:39 support that one because I feel like
1:07:42 you've got a vision for that pain so USA
1:07:45 loves Tik Tock okay all right no picture
1:07:49 must
1:07:50 pass what do you mean no picture must
1:07:53 pass I don't know what that means
1:07:55 what do that
1:07:56 [Laughter]
1:08:03 man who did this
1:08:06 one who did this darling
1:08:11 Rober that's just rude it's true but
1:08:14 [Laughter]
1:08:18 rude oh
1:08:21 man the Curiosity hamster wheel that's
1:08:24 pretty
1:08:26 fun all right so let's go let's go make
1:08:29 another one um what do we want to make
1:08:31 for a GPT uh uh give me another give me
1:08:34 another topic we'll we'll do one on the
1:08:36 Fly here feel free to try it out and
1:08:39 provide feedback it's already been
1:08:41 improved thanks to the community that's
1:08:43 awesome Pate that's really
1:08:46 cool um which is completely different
1:08:49 than the
1:08:50 androgynous
1:08:53 Ally
1:08:55 uh wait crit faced can you show us how
1:09:01 you use it to
1:09:03 storyboard um I haven't used it to
1:09:06 storyboard but we can certainly do that
1:09:07 let me go that that might be a fun thing
1:09:09 to do all right so let's go do that so
1:09:12 we're going to go to um here's chat
1:09:17 GPT
1:09:20 um I'm in chat gp4 mode so one one of
1:09:24 the things if if you haven't used chat
1:09:27 GPT a lot um chat GPT is now multimodal
1:09:31 meaning you can upload images you can
1:09:38 um you can generate images you can
1:09:41 upload
1:09:42 um spreadsheets and CSV files and it can
1:09:46 analyze them it can it can write things
1:09:48 so one of the things I'm going to do
1:09:50 here is I'm going to
1:09:53 go I'm going to upload a screen
1:10:03 [Music]
1:10:15 play that's Microsoft Word I'll just
1:10:18 I'll upload the text version of it all
1:10:20 right so here's a this is a screenplay I
1:10:22 wrote in 1990 one or two called salmon
1:10:26 flying
1:10:28 East and
1:10:30 so um so one of the things I'm going to
1:10:32 do is I'm going to
1:10:39 say please
1:10:42 write a
1:10:44 compelling Hollywood log line that is
1:10:48 the elevator pitch for this
1:10:51 screenplay period
1:10:55 act as if you're a high-powered
1:10:58 Hollywood agent and make sure
1:11:04 that anyone that hears this will want to
1:11:07 make this
1:11:10 movie so so so log lines are especially
1:11:14 if you if if you write the screenplay
1:11:15 writing log lines about it are almost
1:11:17 impossible cuz you can't separate what
1:11:20 you know is wrong with the screenplay
1:11:22 from from the marketing piece of it so
1:11:25 let's see what it comes up with salmon
1:11:27 flying East in the misty docks of 1991
1:11:30 Gig Harbor Jack a rugged fisherman
1:11:33 haunted by his Vietnam War past grapples
1:11:36 with shadows of memory and longing of a
1:11:38 life he can't reclaim when his path
1:11:41 crosses with ping a striking Vietnamese
1:11:43 woman entwined in his wartime memories
1:11:45 Jack's quest for Redemption takes a
1:11:47 dramatic turn as Jack as Jack navigates
1:11:51 the treacherous Waters of his past and
1:11:53 present he finds him himself Torn
1:11:54 Between the ghost of his love lost in
1:11:57 Vietnam and the reality of his solitary
1:11:59 life blah blah blah okay this is so the
1:12:02 content may violate our content policy
1:12:04 because probably because it talks about
1:12:05 war um that's great can you make it much
1:12:10 shorter and
1:12:14 punchier I'll just leave it that see
1:12:16 what it
1:12:22 does
1:12:25 all right a haunted Vietnam vet and
1:12:27 rugged fisherman in 19901 Gig Harbor
1:12:30 confrences w war torn past when he
1:12:34 reencounters ping a figure from his
1:12:35 Vietnam days and past and present
1:12:38 Collide Jack search for Redemption and
1:12:41 peace propels him on a thrilling journey
1:12:43 through love loss and the Quest for
1:12:44 healing I'm going to say
1:12:48 um give me a log line that
1:12:51 compares this screenplay to two
1:12:55 different movies meeting one
1:12:58 another I don't know if it'll understand
1:13:00 what that means like Jaws meets
1:13:04 Rocky we'll see what it comes up with
1:13:07 what I what I find about chat GPT is it
1:13:09 tends to be um way better at
1:13:11 understanding me than I am like I don't
1:13:15 understand what I say half the time
1:13:17 salmon salmon flying East is where the
1:13:19 deer hunter meets a river runs through
1:13:21 it oh that's kind of cool a poignant of
1:13:24 a Vietnam veteran fishing uh veteran
1:13:27 fisherman wrestling with his past
1:13:28 entangled in a haunting romance that
1:13:30 Bridges the turbulent Waters of War and
1:13:33 the Serene struggles of life back home
1:13:36 that's cool that that sounds that that's
1:13:38 in the neighborhood so now I'm going to
1:13:40 say
1:13:41 okay okay great now I'd like you to
1:13:43 create a list
1:13:52 of visual ual scenes from the
1:13:58 opening of the
1:14:01 movie period describe them as if they
1:14:04 were a
1:14:09 storyboard period in fact create a
1:14:14 table where one column
1:14:17 describes the
1:14:19 action and the next column describes
1:14:23 what's going on
1:14:31 visually all right scene one Gig Harbor
1:14:35 Docks pre-dawn a foggy Serene Gig Harbor
1:14:38 the camera slowly pans across the glassy
1:14:40 water of the Puget
1:14:42 Sound fishing boat interior Jack's
1:14:45 morning
1:14:47 routine Jack steps out of the boat onto
1:14:49 the dock all right so great so this is
1:14:53 so this is now this is now reading my
1:14:56 screenplay and and pulling the visuals
1:14:59 from
1:15:01 it flashback to a crowded bar in
1:15:15 Vietnam so let me say
1:15:22 so great I'd like to start storyboarding
1:15:26 this so I want you to
1:15:29 create
1:15:31 16x9 wide
1:15:34 orientation
1:15:38 images one per
1:15:42 scene
1:15:45 period I'd like the style to
1:15:47 be loose
1:15:52 watercolor in
1:15:55 style but that clearly
1:16:00 indicate what the camera
1:16:03 sees
1:16:04 and what
1:16:09 lens should be
1:16:12 used period why don't we start
1:16:19 with scene one to get the style dialed
1:16:27 in and and so notice what I'm doing here
1:16:32 is while I'm technically prompting this
1:16:35 isn't really prompt engineering right
1:16:37 you keep hearing this term you got to be
1:16:39 a prompt engineer and prompt engineering
1:16:41 is going to be big and prompt
1:16:43 engineering prompt engineering all that
1:16:45 does in my opinion is intimidate people
1:16:48 to not want to deal with AI at all I
1:16:50 don't want to be an engineer I'm not a
1:16:52 PR engine I don't even know what a
1:16:54 prompt is and now I got to engineer it
1:16:57 no no what you actually have to do is
1:16:58 just
1:16:59 talk you just you just talk your words
1:17:02 now could I use prompt engineering to
1:17:05 get things better sure I could
1:17:07 absolutely do
1:17:08 that um so there's my thing okay that's
1:17:19 great okay that's terrific but I don't
1:17:23 want the splattery edges period I want
1:17:27 the image to go all the way to the edge
1:17:30 of the frame
1:17:36 period I'd also like to create two
1:17:45 distinct color
1:17:48 grades one for the present which is more
1:17:52 saturated
1:17:54 and vibrant and one for the
1:17:58 past that captures the fog of
1:18:03 War
1:18:07 period let's
1:18:11 create two images one for the
1:18:15 present and one from a scene from the
1:18:20 past so I can compare them
1:18:24 all right so it like it already hit me
1:18:27 that this looks pretty cool but it would
1:18:30 it would also be cool to have you know
1:18:31 the past look like the past you know how
1:18:34 films
1:18:36 do but but like but what I'm doing here
1:18:39 is just I I am acting kind of as a
1:18:42 director kind of as a writer kind of as
1:18:45 an art director kind of as a creative
1:18:47 director that's way too colorful so we
1:18:50 hate that and we will tell it them we
1:18:53 hate
1:18:57 that but that does look like Gig
1:19:00 Harbor which is amazing
1:19:05 actually and so now it's creating
1:19:07 there's the one from the past right so
1:19:10 listen at a minimum it kind of got that
1:19:13 you
1:19:13 know there's your present there's your
1:19:16 past
1:19:19 right so now I'm just going to say
1:19:22 you've got the right idea but the images
1:19:25 still
1:19:27 have blotchy edges rather
1:19:31 than the image going all the way to the
1:19:34 edge of the frame period
1:19:37 also the saturated image is way too
1:19:41 vibrant period it should still look like
1:19:43 a
1:19:46 film but be more saturated than the
1:19:49 images from the past
1:19:51 period why don't we put
1:19:54 an olive green Hue on the color grading
1:19:58 from the images from the
1:20:00 past and
1:20:04 a soothing blue hue for the images from
1:20:08 the
1:20:10 present let's see what that
1:20:17 does make it as an elevator pitch for a
1:20:19 David swimmer single dad
1:20:21 sitcom exactly we could do
1:20:24 that well that's I mean that's the thing
1:20:27 I could take I could absolutely take
1:20:29 this
1:20:30 screenplay and have it rewrited as a
1:20:32 comedy like give me a new outline with
1:20:34 this is a comedy and then use the
1:20:37 writing style of how this is written and
1:20:40 let's let's turn this into a comedy you
1:20:43 could absolutely do
1:20:46 that all right there's our blue hue
1:20:49 again that looks like Gig Harbor in fact
1:20:53 that actually looks like where my dad
1:20:56 had a boat that looks like where where
1:20:58 we exited that looks like Point Defiance
1:21:01 and there's the there's a Narrows Bridge
1:21:03 right there like this actually looks
1:21:06 familiar to me that's
1:21:09 crazy there you
1:21:12 go so there's your two different styles
1:21:15 it still doesn't quite get that I don't
1:21:16 want these blotchy edges but that's all
1:21:18 right so so we'll say fine so
1:21:22 say
1:21:30 great now can you make an image for each
1:21:35 scene using our new color
1:21:44 grading
1:21:46 framework based
1:21:48 on whether the scene is in the present
1:21:51 or in the past
1:21:54 and it should just start doing it should
1:21:56 just start going through and
1:21:58 doing why are those lines in that
1:22:01 orientation the I what it did Pate these
1:22:04 these lines you mean the these are film
1:22:07 strip
1:22:10 sockets it it it realized it was a film
1:22:13 so it made it like like this is what the
1:22:16 frame of film's going to look like but
1:22:17 the the sprocket holes would be down the
1:22:19 left and right not across the top it's
1:22:21 listen it's trying
1:22:26 this like I said I gave it you know I
1:22:29 gave it some shitty prompts you know I
1:22:31 talked before about don't be a prompt
1:22:33 engineer but obviously I would need to
1:22:35 be a bit more specific about the
1:22:39 style all right let's see is that scene
1:22:44 one what's scene
1:22:47 one scene one a foggy Serene Dawn at Gig
1:22:51 Harbor inside the r fishing boat cabin
1:22:54 okay so that's scene two so let's see so
1:22:58 that is scene one which is
1:23:00 right that's scene
1:23:03 two there's Scene Three Jack's
1:23:12 up this is
1:23:14 good who suggested this this was a good
1:23:17 idea no this is really good that is
1:23:19 totally what the docks looked like
1:23:21 although these are more like Easter in
1:23:23 fishing boats the the Ducks where where
1:23:26 my dad had a fishing boat was in uh they
1:23:28 were more modern boats but but like that
1:23:32 looks very familiar although the dock
1:23:33 kind of ends right there it's pretty
1:23:36 funny there he is at the what was scene
1:23:39 four was so wait what was scene
1:23:45 four Jack emerges on the docks the baate
1:23:48 shop inside de baate shop Jack greets
1:23:51 Martha the owner's wife
1:23:53 Jack prepares for
1:23:54 fishing this is
1:23:57 good I've never I've never done this on
1:23:59 my own screenplay before but I mean holy
1:24:02 crap like look at this he's obviously
1:24:05 not preparing that that's after they
1:24:07 caught something although I guess that
1:24:09 could be bait but he's he's salmon
1:24:11 fishing those should be
1:24:13 smaller all right there we go into the
1:24:15 past so he's cutting bait and
1:24:18 remembering the
1:24:20 past like I I mean you can just you can
1:24:23 almost hear it right
1:24:25 like this is
1:24:28 cool oh I'm going to do one one other
1:24:30 one final thing
1:24:33 here I think it can do
1:24:35 this let's let it keep
1:24:38 going so wait that was preparing bait
1:24:41 what was that
1:24:43 one that was flashback to the Vietnam
1:24:46 War abrupt transition to a helicopter
1:24:48 flying
1:24:49 low Jack back in the present flashback
1:24:52 to a crowded
1:24:54 bar so so we have some back and forths
1:24:56 now between the past and the present all
1:24:59 right so he's he's at the bait shop now
1:25:01 he's preparing to go out now he has that
1:25:04 flashback now he's getting ready to go
1:25:06 out now he has that
1:25:09 flashback look at that I mean this is
1:25:11 amazing there was an
1:25:14 error oh generating response I don't
1:25:16 want to regenerate all
1:25:18 this
1:25:21 h is it going to start
1:25:26 over yeah it's going to start over we
1:25:29 lost all that oh that sucks anyway what
1:25:33 I what I would then do what I would then
1:25:36 do is you could tell it to take that
1:25:40 table and all those images and put it in
1:25:43 an Excel file and so it can actually
1:25:46 generate a a
1:25:51 uh let's see
1:25:56 it could actually generate a um a
1:26:00 storyboard for you in an Excel
1:26:03 file this is wild isn't it it's a movie
1:26:06 yeah oh and actually you know what we
1:26:08 could do now holy [ __ ] I should do
1:26:13 this because I could take all those
1:26:15 scenes into
1:26:17 um I could take all those scenes into
1:26:20 into Runway ml and and turn them into to
1:26:24 action and just do it with voice over
1:26:26 and stuff like
1:26:29 that hit the
1:26:36 2-2 to get the previous reply oh
1:26:40 really oh oh I see hang
1:26:43 on oh that's cool I didn't know you
1:26:45 could do that wait oh it's still
1:26:49 creating
1:26:50 images oh okay cool
1:26:53 so I didn't lose everything okay that's
1:26:55 something new I learned thank you
1:26:57 whoever said that who is that thankful
1:26:59 Jones okay so see see right here where
1:27:01 it's got one of three now it says three
1:27:04 of three so these are the new images
1:27:06 it's
1:27:08 creating there's Jack getting up I
1:27:10 actually like that shot better than what
1:27:11 it gave us before there he is on the
1:27:14 dock that that looks closer that's
1:27:16 that's in the neighborhood of of what it
1:27:17 looked like for
1:27:21 real this is just
1:27:25 trippy there he is meeting what's her
1:27:34 name any way to capture a receipt of a
1:27:37 user accessing my created GPT not right
1:27:41 now brother 52 so
1:27:44 um if you if you go to your um your
1:27:50 account and you go to my GP s when you
1:27:54 go to my gpts it will show you to the
1:27:56 right of the GPT how many people have
1:27:58 used it you can't click through and get
1:28:00 any more metadata on that I would assume
1:28:03 that when we get to when there's the GPT
1:28:06 store they're going to give you stats
1:28:09 and things like that um but but right
1:28:11 now it's just you can see how many
1:28:13 people have used it but that's about
1:28:17 it this is much much more Eastern tler
1:28:20 than Pacific salmon fisherman but that's
1:28:24 okay that's all stuff this is all stuff
1:28:27 like like that being a big tler is is is
1:28:31 is not right but like that's stuff that
1:28:32 you could fix you could say give me this
1:28:34 he should be cutting smaller bait than
1:28:36 this it should be on a modern boat there
1:28:38 shouldn't be a troller in the background
1:28:40 it should be you know Pacific Northwest
1:28:43 you know Puget Sound hills and mountains
1:28:46 or like the The Narrows Bridge or
1:28:48 whatever the hell they call that thing
1:28:50 how do you change the aspect ratio of
1:28:52 Imes you just ask for it you can say so
1:28:54 when I do when I make my videos for Tik
1:28:57 Tock reminders uh for the lives I just
1:28:59 say give me a 9 by6 image with this
1:29:03 subject that says AI learning Lab at the
1:29:06 top and then and then it makes it
1:29:07 vertical in this case I said make them
1:29:10 16
1:29:11 by9 wide you know wide
1:29:14 orientation that is so cool that it just
1:29:17 goes it it just it's it's remembering
1:29:19 all this
1:29:21 stuff all right each image captures it
1:29:24 um so so let me okay so now I want to
1:29:26 try something I want to
1:29:29 go okay great can
1:29:33 you create an Excel
1:29:42 file that has the
1:29:50 first seven scenes
1:29:56 from the table
1:30:00 above
1:30:02 and add a third
1:30:05 column where you include the
1:30:09 image you created
1:30:12 [Music]
1:30:14 here embed the actual image in the Excel
1:30:21 file now this
1:30:24 should so see where it says analyzing
1:30:27 here that's that's using a thing called
1:30:29 code interpreter and if you open this
1:30:32 what it's actually doing is writing
1:30:34 python code to to build this file that I
1:30:37 just asked
1:30:39 for so it's putting data into the into
1:30:42 the
1:30:43 things it looks like that's just that's
1:30:46 cell that's column
1:30:50 one there's column
1:30:52 two the
1:30:56 descriptions and then I I'm going to I'm
1:30:58 going to close this cuz I want to be
1:31:01 surprised to see if it actually does it
1:31:04 right I missed the first part of this
1:31:07 did he give it a story screenplay or
1:31:09 something and now
1:31:12 it's generating storyboards that's
1:31:15 exactly that's exactly what you're
1:31:18 witnessing so so let me go back to the
1:31:20 beginning while it's while it's making
1:31:21 that file so I uploaded a screenplay
1:31:25 that I wrote In 1991 or 2 I had to give
1:31:28 me a log line which was okay then I had
1:31:30 it make it shorter which was okay and
1:31:32 then I had it compare two movies it said
1:31:35 salmon flying East is where Deer Hunter
1:31:37 meets a river runs through it which is
1:31:39 that's a really good like someone would
1:31:40 go oh yeah that sounds good um then I
1:31:43 had it describe the first 10 scenes in
1:31:47 the in the movie like what what happened
1:31:50 and what the visual thing was
1:31:52 then I did a couple of passes of uh sort
1:31:56 of look and feel and then realized that
1:31:59 I wanted to do a look and feel where the
1:32:01 present was was kind of in color and the
1:32:03 past kind of had this funky Hue to it
1:32:07 and then I said now just uh give me the
1:32:11 scenes you know give me the images from
1:32:13 the scenes in that
1:32:15 spreadsheet and so it did the first
1:32:18 seven and let's see I've created an
1:32:21 Excel file with the first seven scenes
1:32:24 described including the action and
1:32:25 visual descriptions however embedding
1:32:27 the actual images into the Excel file is
1:32:29 not possible with my current environment
1:32:32 you can download the Excel file and man
1:32:34 manually insert them as
1:32:37 needed um let me try
1:32:40 something is there a way for
1:32:44 you to use the image command in
1:32:48 Excel and put the URL to each image in
1:32:51 there so that the Excel file itself
1:32:54 displays the image but it's pulling that
1:32:56 image from the
1:32:59 internet let's see if it's let's see if
1:33:01 it can think its way out of this
1:33:07 one and we can while it's doing that we
1:33:09 can go look at what it gave
1:33:15 [Music]
1:33:21 us
1:33:27 um okay yeah it didn't it didn't give us
1:33:30 even placeholders for the images
1:33:33 so
1:33:36 fail fail fail fail and you know what I
1:33:39 what I'm doing here is you know while
1:33:43 I'm in in theory teaching you like I'm
1:33:45 doing this for the first time I've never
1:33:47 done this before
1:33:50 so this is what I I would encourage all
1:33:53 of you to do is is don't think that
1:33:55 someone has the answers because the fact
1:33:58 is that everyone's trying to figure this
1:34:01 out and and this dear God why would you
1:34:04 bring Excel into this that's
1:34:12 great however you can manually only
1:34:14 embed the images yeah I know I can
1:34:16 manually embed them but I don't want to
1:34:18 let's see
1:34:20 um can you give me a list of the URLs
1:34:24 for each of those
1:34:29 images certainly here's the URLs okay
1:34:33 great oh but they're
1:34:46 broken those URLs do not
1:34:50 work wait
1:34:54 those URLs do not work can you please
1:34:57 provide URLs that do
1:35:05 work NOP it can't placeholder URL all
1:35:08 right well they're broken
1:35:11 anyway so so yeah there's your things
1:35:13 and then this this new thing where you
1:35:15 can take the you can go back in time is
1:35:19 that's new to me so let me show you that
1:35:21 again if you were not here so this
1:35:24 is this is the second batch of images
1:35:27 some of these I like okay but some of
1:35:29 the original ones it did were really
1:35:30 good so see where it says three of three
1:35:33 here that means three of three answers
1:35:36 for this particular prompt so I can go
1:35:38 back to the second version of that where
1:35:40 I stopped it and the first version and
1:35:43 here are the images that it created like
1:35:45 I love that one although I did like the
1:35:48 one with the the alarm clock in the
1:35:49 foreground so maybe do you'd sort of
1:35:52 combine those two then that's really
1:35:54 good he's smoking a cigarette in his
1:35:58 boat he's going out he's at the bait
1:36:01 shop there's supposed to be a woman here
1:36:03 so we that's something we'd fix there
1:36:06 he's cutting bait that bait's too big
1:36:07 but that's okay we'd fix that there's
1:36:09 his
1:36:10 flashback now he's back in the present
1:36:13 looking tortured right cuz he just
1:36:15 thought of that looking
1:36:17 tortured now he's back in the in the
1:36:20 bar and then that's where it
1:36:23 stopped but um holy crap that's really
1:36:27 good that's really good really good nuts
1:36:33 nuts it's nuts I tell you nuts I tell
1:36:39 you you know and we could even do you
1:36:41 know what would be kind of fun is
1:36:46 say as an experiment can you
1:36:50 create
1:36:53 two images one from the past and one
1:36:56 from the
1:36:57 present based on the scenes
1:37:01 above but do them
1:37:03 in a
1:37:07 photographic cinematic style so they
1:37:11 actually look
1:37:13 like stills from the
1:37:19 film period
1:37:24 the
1:37:26 lighting should be
1:37:30 professional and
1:37:32 Moody and
1:37:35 the set
1:37:38 decoration and locations should be
1:37:43 impeccable see if we can get it to see
1:37:46 if we can get it to give us some
1:37:48 Hollywood
1:37:49 action ask for a list of code block or
1:37:53 markdown oh yeah that's a good idea retr
1:37:55 Punk let me try
1:38:07 that oh that's pretty cool that looks
1:38:12 nice that very much looks like Gig
1:38:15 Harbor very much looks like
1:38:19 it very much in
1:38:27 fact didn't quite capture the the color
1:38:38 grading the image from the past doesn't
1:38:41 quite have the color grading that we
1:38:43 discussed
1:38:44 earlier can you make it more
1:38:47 dramatic from
1:38:49 a stylistic point of view
1:38:56 view can it include sound seagulls maybe
1:38:59 it cannot um sounds sounds and video
1:39:04 will probably be within within six
1:39:07 months like I'm sure I'm sure chat GPT
1:39:11 very shortly here becomes true
1:39:16 multimodal
1:39:18 um and at that point it's probably
1:39:22 that doesn't look photorealistic
1:39:25 anymore the revised
1:39:33 image okay that's better stylistically
1:39:36 but it doesn't look photographic and
1:39:38 cinematic anymore can you give me a
1:39:40 final version from the
1:39:45 past that is much more
1:39:49 photographic that retains that
1:39:54 [Music]
1:39:56 style oh by the way you could you could
1:40:01 absolutely turn this into a
1:40:03 GPT so you could you could come up with
1:40:06 a way to
1:40:09 um feed it feed it a piece of a
1:40:12 screenplay have it break that screenplay
1:40:16 down and oh look this is so cool look
1:40:19 what it
1:40:20 did th this is like all the from the
1:40:23 film you know this is like the
1:40:24 cameraman's view the cinematographers
1:40:27 view that's
1:40:30 hilarious not exactly what we wanted for
1:40:32 a storyboard but that's kind of
1:40:40 cool wow uh so let me try something here
1:40:45 um could you
1:40:50 create a
1:40:52 table using
1:40:56 markdown that
1:40:59 includes the columns for the scene the
1:41:03 visual
1:41:05 description and the embedded image so
1:41:08 that I can view it here in the browser
1:41:09 as a
1:41:11 table so markdown is a is a sort of
1:41:16 local rendering it's it's kind of like
1:41:18 mini HTML let's see if it gets the in
1:41:22 there did it oh it broke darn
1:41:46 it this is great but the images are
1:41:49 breaking can you
1:41:52 use whatever coding you used above
1:41:54 because above I can see the images but
1:41:57 in this table I
1:42:00 can't let's see what it does here I
1:42:03 understand the issue let's try embedding
1:42:04 the images using a different method in
1:42:06 the markdown
1:42:08 table oh it's putting in base 64
1:42:11 truncated truncated for brevity well
1:42:13 that means that the image won't show you
1:42:15 dumb
1:42:16 Dum oh well oh well what are you going
1:42:19 to do all right so we can sort of get it
1:42:21 working if if I if I messed around with
1:42:23 this for a while you you could probably
1:42:24 get this thing to be pretty
1:42:26 sophisticated anyway this would be a
1:42:28 good GPT to create is is create a
1:42:30 storyboarding GPT that invites someone
1:42:34 to upload a scene or write a scene or
1:42:37 have it write a scene and then it will
1:42:39 create a visualization like a a scene by
1:42:42 a shotby shot table based on the
1:42:46 screenplay and then prompt them for
1:42:49 visual style and then generate all this
1:42:51 crap and then output something and or
1:42:53 save it to a something or save it to a
1:42:55 Google
1:42:58 Drive crazy crazy crazy and you could
1:43:02 probably knock that out on a Saturday
1:43:05 [Laughter]
1:43:12 afternoon holy goodness
1:43:15 people
1:43:17 crazy it's cuckoo I tell you it's cuckoo
1:43:25 cachu hello
1:43:28 [Music]
1:43:29 hello my name's
1:43:34 Kyle I like
1:43:36 ai ai is good AI is tasty have you had
1:43:40 any taste the AI taste it you can make
1:43:45 money
1:43:47 with it's so
1:43:50 exciting
1:43:54 I don't know what I'm doing I do not
1:43:56 know what I'm doing like whatever we
1:43:58 just did
1:44:00 there that was chat add is it at its
1:44:03 finest I hope you got something out of
1:44:06 that there's there's enough people in
1:44:08 here hopefully you got something out of
1:44:09 that kind of blew my
1:44:13 mind I mean it it's kind of making me
1:44:17 want to go back I've got seven feature
1:44:20 length screen
1:44:22 plays how do you upload your script
1:44:24 script to chat GPT so you just there's a
1:44:28 little paperclip so you you have to be
1:44:30 using GPT 4 for one
1:44:35 thing GPT 4 and then that little
1:44:38 paperclip you can upload anything so you
1:44:41 want to see something fun yes Kyle of
1:44:44 course we do um let me go back to the
1:44:47 chat that I just had let me go find an
1:44:50 image that I
1:44:58 like I really like that first one where
1:45:01 he's laying in
1:45:04 bed or the one where he's smoking the
1:45:06 cigarette yeah this one all right is
1:45:09 that the download button yes all right
1:45:12 so that just downloaded that so I can go
1:45:14 to chat
1:45:15 GPT if you're in chat
1:45:17 gp4 you can upload anything so I
1:45:20 uploaded a text file you could upload a
1:45:22 PDF you could upload a Word document you
1:45:25 could upload a
1:45:26 CSV
1:45:28 um I'm going to upload one of those
1:45:31 images from the
1:45:34 storyboard this
1:45:37 one and I'm going to
1:45:44 say this is an image from a storyboard
1:45:48 for a film I am working on
1:45:52 period can you
1:45:57 please describe this in as much detail
1:46:00 as possible from a cinematography and
1:46:03 set decoration point of
1:46:07 view followed
1:46:12 by a
1:46:15 table
1:46:17 of props and their descriptions
1:46:22 [Music]
1:46:33 image showcases a moment of quiet
1:46:34 introspection in the small boat cabin
1:46:36 filled with natural and artificial light
1:46:39 sources blend to create a Serene blue
1:46:41 Ambiance evoking a sense of morning
1:46:43 Tranquility the scene is primarily is
1:46:46 lit primarily by Soft natural light
1:46:48 coming from a circular window suggesting
1:46:50 early Dawn which is complemented by the
1:46:53 Warm Glow of an oil lantern indicating
1:46:55 the cabin's lack of modern amenities the
1:46:58 subject the man with unkempt beard blah
1:46:59 blah blah the set decoration is
1:47:04 meticulous Furniture adds a touch of
1:47:06 authenticity the color palette is
1:47:08 predominantly shades of blue okay here's
1:47:10 a table of props and descriptions oil
1:47:12 lantern an old-fashioned brass oil
1:47:15 lantern alarm clock ropes and Tackle
1:47:18 ship's wheel wooden suit this is this is
1:47:21 what you have assistants on Films spend
1:47:26 hours
1:47:28 doing it just knocked that [ __ ]
1:47:32 out port hole wicker basket bed with
1:47:36 pillows unmade and utilitarian
1:47:38 suggesting a character's transient
1:47:40 lifestyle like capturing the
1:47:44 the like the creative Essence as well as
1:47:49 what it is right you you need bed you
1:47:51 need a bed with pillows but we're not
1:47:53 getting you know something from from uh
1:47:57 from a fancy store here right this is
1:47:59 utilitarian this is this is well-used
1:48:01 [ __ ] transient
1:48:03 lifestyle this is well-worn
1:48:08 bedwar I'm going to
1:48:18 say could you create
1:48:23 a production
1:48:30 schedule for what needs to be done in
1:48:33 what order to achieve this
1:48:47 shot multiple departments including set
1:48:49 design lighting camera Crews and others
1:48:52 belows a simplified version
1:48:54 pre-production phase script breakdown
1:48:55 and storyboarding one to two weeks
1:48:57 before the shoot analyze the script
1:49:00 create storyboards
1:49:02 scouting set design prop sourcing
1:49:05 casting and wardrobe production phase
1:49:08 set construction and and dressing set
1:49:10 the dress set set build the set and
1:49:13 dress it with necessary props make
1:49:15 adjustments technical walkth through
1:49:17 lighting setup day of shoot morning
1:49:21 rig up natural light sources adjust for
1:49:24 desired Shadows camera setup and
1:49:26 rehearsal principal photography
1:49:30 midday review the Daily's day of shoot
1:49:36 evening
1:49:40 amazing
1:49:42 amazing oh mying it's so cool it's so
1:49:46 cool I don't know if you've seen this
1:49:47 have you ever seen AI it's so cool it's
1:49:50 really cool you can make money with
1:50:02 ch oh man yall are cool all
1:50:07 right you remind me of Peter sers
1:50:10 inspector cluso when you say I don't
1:50:13 know I don't know what you
1:50:19 mean
1:50:26 oh ask get to use the same image at a
1:50:29 different time of day we can do
1:50:35 [Music]
1:50:40 that let's
1:50:49 see
1:51:04 okay I'd like to
1:51:07 create a
1:51:14 still
1:51:17 from the photographic image
1:51:22 of the marina at
1:51:25 dawn and keep
1:51:29 the image composition
1:51:34 identical but change the time of day to
1:51:37 be high
1:51:40 noon there should
1:51:43 be some clouds in the sky but the sun is
1:51:47 shining directly on the
1:51:49 marina
1:51:50 [Music]
1:51:52 not High Moon High
1:51:56 Noon high
1:51:59 noon and this is Dawn not
1:52:02 Dan all right let's see what we
1:52:06 get Vicky's gone now she said you are in
1:52:09 the door now okay all right great thank
1:52:19 you
1:52:22 you're all caught up
1:52:24 okay fix on I
1:52:26 did let's see what it does here we'll
1:52:30 see if it it it might not remember what
1:52:32 scene I was talking about it might but
1:52:34 we'll
1:52:38 see nope it
1:52:41 didn't and that's not really high noon
1:52:46 but look it says High
1:52:49 Noon
1:52:50 High Noon present
1:52:54 day that's more like 4 in the afternoon
1:52:57 but that's okay where it's like it's
1:53:00 like 10 o00 in the morning and still
1:53:02 burning off the still burning off the uh
1:53:05 the low Ling clouds and
1:53:08 [Laughter]
1:53:13 Mist now but what I could possibly do so
1:53:16 here's another way to do
1:53:19 this
1:53:21 we
1:53:22 grab
1:53:25 this save image
1:53:29 as Gig
1:53:31 Harbor
1:53:39 Dawn save it to the desktop we'll do a
1:53:44 new a new chat jie
1:53:47 Tai and we'll upload that
1:53:54 not
1:53:56 that that okay I'm going to upload
1:54:03 that describe this scene in as much
1:54:06 detail as possible including the
1:54:09 photographic
1:54:12 style all right so we'll get it to
1:54:15 describe it watching a masterpiece being
1:54:19 born yeah this is actually I mean you
1:54:22 know jrc it it's like
1:54:25 what's what's amazing about this is you
1:54:29 know I'm just you know this is as much
1:54:33 just entertainment just me kind of
1:54:35 [ __ ] around here but I mean imagine
1:54:38 if if you really put in the work right
1:54:43 to say hey I want to I want to I want to
1:54:46 take this screenplay that I wrote I I
1:54:48 really want to get it to the next level
1:54:49 I want to get this thing
1:54:51 fundable and you put in a
1:54:54 solid
1:54:55 week can you imagine like just me
1:54:58 [ __ ] around in in the last 45 minutes
1:55:01 or so whatever it's
1:55:03 been imagine putting in a week of really
1:55:06 focus time on this what youd come out
1:55:07 with on the other side you'd come out
1:55:10 with it's just
1:55:13 amazing it's just amazing okay so now
1:55:16 I'm going to
1:55:19 say perfect now I'd like to recreate
1:55:22 that exact same scene at a different
1:55:25 time of day
1:55:35 period how about late
1:55:37 afternoon where the sun is behind the
1:55:40 camera and lighting up the
1:55:45 marina with magic
1:55:48 hour sunlight
1:55:55 is
1:55:56 reasoning able to come up with new ideas
1:55:59 the only ability missing for True
1:56:01 AGI I would argue that the current
1:56:05 technology absolutely comes up with new
1:56:08 ideas
1:56:09 um it seems there was an issue
1:56:12 generating
1:56:19 this
1:56:20 um but the me the reasoning is missing
1:56:23 it's its ability to take autonomous
1:56:25 action and its ability to reason to to
1:56:28 basically figure out if is what it's
1:56:30 doing as it's taking these actions
1:56:33 working or not and the qar thing that
1:56:37 everyone's talking about right now is
1:56:39 apparently a layer that sits on top of
1:56:41 the current large language model GPT 4
1:56:45 or five if they're working on that and
1:56:48 it adds that reasoning component
1:56:49 component to it and that autonomous
1:56:51 component to it and if that's the case
1:56:53 then I I that seems to me to
1:56:57 be a hurdle for at least some stage of
1:57:02 AGI um try again with making the
1:57:18 image thank you JC that's very
1:57:22 sweet oh my God my phone typos oh I
1:57:26 typing on a phone is anyone else in
1:57:29 instead of hitting the space bar you
1:57:31 always hit the N key and so you just
1:57:33 have one long word with all these n's in
1:57:35 the middle of the words it's
1:57:38 like like AI should learn that I'm how I
1:57:43 [ __ ] up my typing and fix it for me
1:57:46 shouldn't
1:57:47 it yes it should
1:57:52 why yes it
1:58:02 should come on come on create that image
1:58:05 oh you you
1:58:07 stinker any recommendations now that the
1:58:10 upgrade to GPT 4 is not available yeah
1:58:13 Vic so if you go to co-pilot
1:58:17 microsoft.com so so a couple of things
1:58:20 um
1:58:21 Claude now has a 200,000 token context
1:58:25 window and it's got a it's got a free
1:58:28 option um perplexity doai has a free
1:58:31 option and apparently you can upload
1:58:33 300,000 Words which is like a 400,000
1:58:37 token context window which I don't
1:58:40 believe but maybe that's true someone
1:58:42 told me that yesterday on the live then
1:58:44 you can also go to oh this is the AI
1:58:47 Salon you can go to the AI salon and
1:58:49 join that that I'll tell you how to do
1:58:51 that in a second but you can also go
1:58:55 to um
1:58:58 co-pilot
1:59:01 dot
1:59:05 microsoft.com and so this is oh I have
1:59:08 to sign in to Microsoft I think this
1:59:11 screwed up for me the other day okay now
1:59:13 I'm in okay so let's let's try
1:59:16 this can I upload
1:59:21 can I upload here add an image oh I
1:59:25 can't huh oh and it's only got a 2,000
1:59:28 token context window all right but I
1:59:31 should be able to let's
1:59:34 see let me
1:59:37 upload from this
1:59:41 device all right we'll do that we'll
1:59:43 upload that
1:59:48 image
1:59:51 describe this still
1:59:54 from a film's storyboard in as much
1:59:57 detail as possible including the
1:59:59 photographic
2:00:03 style so this
2:00:05 should acts relatively like what we just
2:00:08 did over in chat GPT but
2:00:13 Microsoft is sometimes a little
2:00:16 weird and by a little weird I mean
2:00:18 shitty
2:00:23 all right this is a still from the film
2:00:25 storyboard the image is a wide shot of a
2:00:27 harbor with boats
2:00:30 and
2:00:32 great recreate this image at
2:00:39 a a different time of day question mark
2:00:46 or no no question
2:00:48 mark let's see what it does I'm sorry
2:00:51 but I'm not be able to recreate the
2:00:53 image however based on the
2:00:55 description I can suggest
2:00:59 some all
2:01:01 right create an image based on the
2:01:07 description it should be able to do that
2:01:10 see this is what it just did there this
2:01:12 is what I experienced with Microsoft all
2:01:13 the
2:01:16 time you could use an AI image generator
2:01:19 this is an AI image
2:01:22 generator although maybe they didn't
2:01:24 bring Dolly over to this I don't know
2:01:32 see let's go try
2:01:35 Bing chat.
2:01:37 [Music]
2:01:39 bing.com ah this is maddening no this
2:01:42 looks like it's the
2:01:44 same let's try
2:01:48 it
2:01:50 upload from
2:01:53 device please describe this in as
2:01:59 much detail as
2:02:03 possible all
2:02:05 right chat GPT made a joke last week
2:02:08 unprompted during a conversation I had
2:02:10 with it
2:02:11 wow that's wild well it looks like grock
2:02:14 you can put grock into funny mode and it
2:02:16 looks like it's going to just be a real
2:02:18 cutup
2:02:20 this is a photo okay good beautiful
2:02:23 terrific um create a new version of this
2:02:29 image at a different time of day spelled
2:02:35 wrong but that's
2:02:39 okay no it
2:02:42 doesn't I don't understand what
2:02:45 Microsoft is doing this used to have
2:02:46 Dolly built into it and now it seems
2:02:48 like it doesn't
2:02:51 I don't get it and if if I go to
2:02:54 bing.com
2:02:56 create that should be um dolly3 SLC
2:03:03 create jump start your
2:03:08 creativity but I can't upload an image
2:03:10 here I don't know so I'm totally
2:03:14 confused right now so we are discovering
2:03:17 together that it looks like have gutted
2:03:21 co-pilot to remove all the multimodal
2:03:24 [ __ ] from it except it can describe an
2:03:27 image it can see it can see images but
2:03:30 it's not able to create them which is
2:03:32 weird so that might just be a temporary
2:03:35 thing but that's very strange anyway
2:03:39 um I was going to say you could use
2:03:42 co-pilot but now you can't so
2:03:48 um
2:03:50 I got nothing I got nothing for
2:04:00 [Music]
2:04:03 you sometimes this shit's really
2:04:06 frustrating if if if by the
2:04:10 way if when you're using this AI [ __ ]
2:04:12 you're like it seemed so good when Kyle
2:04:15 did it now I can't get it to do
2:04:18 [ __ ] I have happens to me multiple times
2:04:21 a day where there are sometimes where I
2:04:23 just get so pissed off with it I just
2:04:25 like bail on the project and then there
2:04:28 are other times where it's like so
2:04:30 magical I'm like it can do
2:04:33 anything and that's just the nature of
2:04:35 where we are right now so so don't let
2:04:38 its lack of consistency dissuade
2:04:42 you just keep playing and keep finding
2:04:45 the boundaries and then what what what
2:04:48 you'll find is that
2:04:50 that you'll try to do something and
2:04:52 it'll suck at it and then you'll go try
2:04:54 other tools and you'll get something
2:04:56 close and then you'll just realize okay
2:04:58 this stuff isn't quite there yet and
2:05:01 then you'll come back like 3 months
2:05:02 later and you try the same thing and
2:05:04 you're like oh holy
2:05:06 [ __ ] oh it does it now it's
2:05:11 like it's it's um it's been progressing
2:05:15 per
2:05:16 fast per fast
2:05:20 yeah mhm I like them taters mhm Tater
2:05:24 taters tasty
2:05:26 mhm they call it a sling
2:05:28 [Music]
2:05:38 blade I think I'm I think I'm crisped
2:05:41 out I think I might be
2:05:43 done let me see if we got any
2:05:46 other stuff here let me you know what I
2:05:49 want to do um since there's a bunch of
2:05:51 new people in here let me give you get
2:05:53 ready to do some screenshotting they
2:05:55 call me tater salad that's it Mr
2:06:00 K um okay if you're brand new to this
2:06:05 here AI [ __ ] if you're like Ma what you
2:06:09 were doing look cool and everything I
2:06:10 don't know how to do any of that crap
2:06:12 I'm going to I'm going to give you some
2:06:14 some stuff to play with I'll give you
2:06:15 some homework we got Mr K here he's an
2:06:18 educator he will give you homework and
2:06:20 this is this is my son tater tot
2:06:26 exactly um go there right now if you've
2:06:29 not played with chat gbt I am wagging my
2:06:32 finger at you and you know what that
2:06:34 means I don't either but go there right
2:06:38 now and just start playing with it ask
2:06:40 it to write you a poem ask it to write
2:06:42 you a project plan ask it to to invent a
2:06:45 new kind of pizza for you what like
2:06:47 whatever you're interested in just ask
2:06:49 ask it to do that try to stump it if you
2:06:51 think you're super clever on a
2:06:52 particular kind of trivia ask it about
2:06:55 that see how it does and just go start
2:06:58 playing with it and just play with it
2:07:00 until you have what I call your Kevin
2:07:03 McAllister moment which
2:07:05 is it can do
2:07:07 that um maybe you've seen some of that
2:07:10 tonight some of that storyboarding stuff
2:07:12 I was just doing like kind of is melting
2:07:15 my face like
2:07:17 I I wrote that screenplay 20 odd years
2:07:21 ago and watching
2:07:24 it synopsize my
2:07:27 screenplay break the scenes down into
2:07:30 visuals and then create visuals like it
2:07:33 looked like what I had in my head it's
2:07:36 like are you kidding
2:07:38 me so so this stuff's just wild so so
2:07:42 anyway I made a chat GPT for your button
2:07:45 oh for this button you make money with
2:07:47 chat GPT
2:07:49 we need a you can make money with chat
2:07:51 GPT button I think I might have I might
2:07:53 have made one called that you can make
2:07:55 money with chat
2:07:58 GPT um but that's awesome that's awesome
2:08:00 share it on the on the salon I'm gonna
2:08:02 I'm GNA talk about the salon here in a
2:08:04 second okay so so that's chat GPT chat
2:08:07 GPT in my opinion right now there's
2:08:09 nothing even close to it GPT 4 okay the
2:08:13 problem is if you don't have access to
2:08:15 chat GPT 4 right now they're not taking
2:08:17 new uh
2:08:19 accounts so get on the wait list um if
2:08:22 you do have access to it and you haven't
2:08:24 really dug into it start digging start
2:08:27 digging because there's all sorts of
2:08:29 [ __ ] it does including these making
2:08:30 these gpts okay
2:08:34 but I would encourage you all to get
2:08:37 very very curious about this space in
2:08:39 general I'm now going to show you eight
2:08:41 different alternatives to chat GPT that
2:08:44 are all worth at least exploring
2:08:46 okay um Claude grock Bard and co-pilot
2:08:51 are kind of your big four um grock isn't
2:08:54 out yet that's going to be the one
2:08:55 that's inside Twitter x x.com and
2:08:59 x. um Claude is anthropic that's a big
2:09:04 competitor to chat GPT Bard is from
2:09:07 Google co-pilots from Microsoft that's
2:09:10 ostensibly chat GPT 4 but whatever I
2:09:13 looked at tonight was the gutted version
2:09:15 of it so that was very disappointing so
2:09:17 I'm hope hopefully that's just a
2:09:20 blip um these are another four that I
2:09:23 think are worth exploring Pi perplexity
2:09:25 and po are all three different very
2:09:28 specific kind of flavors of these chat
2:09:30 gpts and then llama 2 is kind of a whole
2:09:33 world in and of itself uh that meta put
2:09:36 out these open-source uh large language
2:09:39 models called llama uh that's why we
2:09:41 have llamas in here a lot because every
2:09:43 time I mention llama someone pops a
2:09:45 llama on
2:09:47 screen um and then here's kind of four
2:09:50 different image generation tools to go
2:09:52 play with and I'm not going to go beyond
2:09:54 this so screenshot
2:09:57 that screenshot that if you
2:10:01 haven't and then screenshot that and
2:10:06 then if if you are curious about this
2:10:09 and you're like you don't have you
2:10:11 haven't found your peeps yet like if all
2:10:13 the people in your life are like that AI
2:10:15 stuff's stupid it's evil it's really
2:10:17 dumb why are you wasting your life
2:10:19 if you got a lot of that going on and
2:10:21 you want to hang out with people that
2:10:22 are up to the same thing um join the AI
2:10:25 salon so this is a group that I started
2:10:27 a year ago next Tuesday is it next
2:10:30 Tuesday no a week from Tuesday is our
2:10:34 one-year anniversary so I started the
2:10:36 salon the week after chat gbt came out
2:10:39 cu when it came out I lost my [ __ ]
2:10:42 mind and so go to AIS salon.
2:10:46 mn. that's the that's the the address
2:10:50 please go to the about the salon
2:10:56 page that will tell you what we're all
2:10:59 about community of extraordinary
2:11:01 adventurers exploring the AI unknown who
2:11:04 we are why we're here how we explore
2:11:07 what we seek and what our values are and
2:11:10 please please please please it is my
2:11:12 deep request please go look at the
2:11:14 values of this community I want this
2:11:17 community to grow but I don't want it to
2:11:20 lose what we have right now which is
2:11:21 pretty [ __ ] magical so the values are
2:11:24 curiosity generosity like share what
2:11:27 you're
2:11:28 learning
2:11:29 exploration
2:11:31 collaboration inclusion and
2:11:35 empathy and and you know go read what
2:11:37 the values are really about and what the
2:11:39 community is about if you resonate with
2:11:41 these jump in start exploring start
2:11:44 being generous start being curious um if
2:11:46 if they don't resonate with you that's
2:11:48 totally cool but it's probably not your
2:11:50 group of people you probably will not
2:11:52 like
2:11:55 us uh if you see things about hair
2:11:58 you're in the wrong
2:12:02 place oh yeah yeah exactly if you go to
2:12:06 uh I did this the other day if you go to
2:12:08 the salon. mn. that's a hair place I
2:12:13 gave that uh URL out for for a while on
2:12:15 the first day when we moved over to this
2:12:17 new platform and that was that was a
2:12:19 mistake so anyway so go there join us
2:12:23 and um do me a favor follow this channel
2:12:26 I'm trying to trying to grow this
2:12:27 channel so follow this if you like what
2:12:29 was
2:12:30 here I want to say thanks for suggesting
2:12:32 pie she has been super helpful oh that's
2:12:35 that's terrific n Nash
2:12:38 n Asha or Asia NAA NAA I think I like
2:12:43 that
2:12:44 name um good afternoon for me and good
2:12:47 night to all night good afternoon drew
2:12:50 the values are the best part of this
2:12:52 group I'm stealing these values for my
2:12:54 classroom rules oh awesome I know I'm
2:12:56 really what's cool about the values is
2:12:59 we didn't just like make up a pile of
2:13:02 values we sat down and we said okay we
2:13:05 want to grow the salon but how do we not
2:13:06 lose what it is and so those values were
2:13:09 derived from how people were
2:13:12 acting and so those are just a
2:13:14 reflection of what's already there and
2:13:16 so that's when when when values are
2:13:20 right that's what they are they're just
2:13:21 a reflection of what's already there but
2:13:23 but they're super important because as
2:13:25 things grow you can lose that so that's
2:13:27 why I push push hard on on the values so
2:13:32 all right everybody I'm going to get my
2:13:34 ass out of here into bed multimod modal
2:13:37 Works in co-pilot try create an image of
2:13:39 a Philadelphia Eagle defeating a buffalo
2:13:42 yeah it might be just I sometimes when I
2:13:45 log in and it says I've got a 2,000
2:13:47 token cont context window it's non-
2:13:50 multimodal gp4 and then there's other
2:13:53 times I log in and I've got a 4,000
2:13:55 token context window and then it does it
2:13:58 so I don't know what's going on there
2:13:59 some something's weird on my end tonight
2:14:02 so thanks Kyle Kyle is C thank you very
2:14:07 much Irregulars mods present Turtles
2:14:10 llamas or
2:14:12 hedgehogs thank you Clint Copperhead
2:14:14 thank you mods um thank you everyone who
2:14:18 uh supports this and shows up
2:14:20 nightly let's see Clint
2:14:23 Copperhead who else we got jrc good to
2:14:25 see you Tobias Mary Mary as always good
2:14:28 to see you Mr K you're
2:14:30 amazing good night cor Corey Sandler
2:14:34 good to see
2:14:35 you
2:14:38 uh quick take Jake good to see you
2:14:42 Amelio's wife you were
2:14:45 late random thoughts by TK good to see
2:14:48 you all right
2:14:50 everybody um I'm Crispy drink your
2:14:53 fluids I got to go drink mine peace out
2:14:55 steo um thanks for your help you're
2:14:57 welcome thanks everybody for hanging out
2:14:59 and hope you had a good time and go join
2:15:01 the salon
2:15:04 peace