AI Learning Lab

aiLL June 9, 2023 - 1 - The Accelerating Pace of AI Innovation

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Video2023-09-0319:556 views

Description

I hosted a lively discussion on the state of AI on June 9, 2023, reflecting on the rapid pace of advancement and emerging opportunities. In the session, I share my perspective as an entrepreneur with experience spanning the early days of the web to today's AI boom. Key themes include astounding AI progress, the need for responsible development, potential impacts across industries, and more. The pace of change is unprecedented - with AI capabilities advancing faster than ever before. There's so much potential, but we must ensure AI develops ethically. Join me on this journey of learning and discussing the AI revolution. #AI #future #tech Link: AI Learning Lab address: https://www.tiktok.com/@aiLearningLab ↗ 0:44 - How past web innovation relates to today's AI explosion 2:00 - The crazy fast adoption of AI compared to the early web 3:31 - AI meetups proliferating across tech hubs like San Francisco 5:55 - Explaining the breakthrough of large language models like GPT-3 8:27 - The power of pre-trained models vs. past machine learning 11:02 - Ideas for an AI solution focused on authenticity of content 13:18 - Predictions on leaders in large language models by 2025 15:10 - Implications of reviving deceased celebrities via AI

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Transcript

0:26 hello hello this is Kyle Shannon with
0:28 the AI learning lab
0:30 happy Friday everyone
0:33 the nuggets and the heat are kicking off
0:35 their game nuggets in the lead
0:39 they're up two games to one I know
0:41 that's not AI but you know it's on the
0:43 iPad next to me so I should talk about
0:45 it uh if you're new here my name is Kyle
0:47 Shannon I'm a long time entrepreneur
0:50 I was an innovator in the early days of
0:52 the web and I see a lot of parallels
0:54 between what's going on with AI right
0:56 now and what was going on back then and
0:58 so
0:59 this channel exists as a way for me to
1:01 just kind of process what the hell is
1:03 going on and teach people as much as I
1:05 can even though I'm learning like I'm
1:08 basically teaching what I'm learning I'm
1:11 teaching on the fly so um yeah so
1:15 uh feel free to ask any questions in the
1:18 uh what's it called comments ask
1:21 questions in the comments I'll do what I
1:23 can to answer my boys need a ride to
1:25 Boulder in about an hour so I'll
1:27 probably just bolt out of here
1:30 and uh what else
1:32 um
1:33 a lot of interesting stuff went on uh
1:35 this week Adobe
1:38 um Adobe announced Firefly for
1:41 Enterprise so they're basically taking
1:44 their generative AI their their
1:47 generative AI for images and making it
1:49 safe for corporations which I think is a
1:51 really big deal I feel that many people
1:53 are learning on the fly yeah I I think
1:56 that's the that's one of the parallels I
1:57 see to the early days of the web is that
2:00 when I when I first started learning
2:02 about it I'm like I don't know anything
2:03 about this and
2:05 I started this group called The World
2:06 Wide Web artist Consortium as a as a
2:09 Shameless attempt to surround myself
2:10 with people that knew more than I did
2:12 and I learned exactly that that everyone
2:14 was trying to figure it out and so
2:16 there's a very similar thing going on
2:18 with with generative AI right now
2:21 um yeah you're welcome for for
2:23 um me doing this I appreciate the I
2:25 appreciate the sentiment uh if you have
2:28 questions about uh AI pop them down
2:31 below if you're new here or you're new
2:33 to AI the reason I put these URLs here
2:35 these are kind of it's just like a
2:37 public service service announcement more
2:39 than anything I'm not attached to these
2:41 things in any way but
2:42 check that openai.com that's the
2:44 official chat GPT website so if you've
2:47 heard of chat GPT but you haven't played
2:48 with it do yourself a favor and just go
2:50 play with it and see what it can do have
2:52 it ask it to write you like this briefly
2:55 describe your pet or your spouse or a
2:58 kid
2:59 and have it write you a song or a poem
3:01 or a short story or something like that
3:03 and just
3:05 sit back and go wait it can do that
3:09 and then Bing is just like chat gbt but
3:12 it's on Microsoft it's you know it's
3:14 it's Microsoft's Bing it's gpt4 you can
3:17 use it for free and pose another one
3:18 where you can where you can do some chat
3:20 GPT stuff
3:22 I began my career over 35 years ago and
3:25 you're right the parallels are very
3:26 interesting I mean
3:28 some interesting things about what's
3:29 what's happening with
3:31 um AI compared to the early days of the
3:33 web
3:34 it took six years to get to 100 million
3:37 users of the web it took six weeks to
3:40 get to 100 million users of chat gbt
3:42 that's that's a stat that just blows my
3:45 mind and it was a piece of software that
3:46 was written in two weeks Sam Altman just
3:50 said to his engineering his engineering
3:52 team go build that thing that was in our
3:53 documentation the the in the
3:56 documentation of gpt3 were instructions
3:58 for GP for chat gbt and no one built it
4:01 so Sam Altman just told his Engineers to
4:03 go build it in two weeks
4:05 um unfortunately that isn't a hot link
4:08 no you actually have to type
4:10 chat.openai.com I don't know how to make
4:12 hot links if I can make hot links in
4:14 here teach me how I'll do it
4:16 um oh there's a lot of people in here uh
4:17 my name is Kyle Shannon this is the AI
4:19 learning lab I'm an entrepreneur for
4:22 many many years and uh I'm currently the
4:25 co-founder and CEO of a company called
4:26 storyvine we're an 11 year old video
4:29 technology a storytelling platform and
4:32 uh we do automated video production but
4:34 we don't use any AI for that but we are
4:36 using uh open ai's whisper for
4:39 transcriptions and now I'm creating a
4:41 bunch of content generation engines
4:43 based on the videos that are in our
4:45 system so that's pretty exciting and uh
4:49 I'm here to answer any questions I can
4:51 so if you've got any questions pop them
4:53 down oh
4:56 yeah show me how to do that Arthur that
4:58 would be awesome
4:59 all right isn't that how we all survived
5:02 by Consulting each other yeah that was
5:04 pretty much it those those are those
5:06 early days of the web were just amazing
5:08 uh and I I heard like it sounds like the
5:10 a similar things going on in San
5:12 Francisco right now I saw I saw a tweet
5:14 today that said there's there's like 44
5:18 meetings in San Francisco this week it's
5:20 like three meetings a day and that's not
5:22 even including the private ones
5:24 um I live in Denver it's not quite so
5:26 happen but I did start the AI salon so
5:29 if you go to my profile
5:31 um there's a link tree there and you you
5:33 can see a link to the salon so we do
5:35 both in-person meetings but also virtual
5:37 meetings we meet every other week
5:40 um and uh we have guests guest speakers
5:42 come in and things like that
5:43 so yeah
5:46 all right can I explain how generative
5:48 AI difference from classic AI
5:52 I don't know a ton about classic AI but
5:55 what I I ca so so here's what I can tell
5:58 you
5:59 there's
6:00 in 2017 Google puts out a paper called
6:03 attention is all you need and they
6:05 introduced this idea of a piece of
6:08 technology called the Transformer
6:10 and prior to that
6:13 um
6:14 machine learning you had to do it on
6:17 relatively small data sets and it was it
6:19 was very much the purview of you know
6:21 data scientists and researchers and
6:22 things like that so you would sort of
6:24 bring your data set I got a bunch of
6:26 medical data I got a bunch of census
6:28 data or whatever it might be and then
6:30 you train these these uh machine
6:32 learning models on your little data set
6:35 the Transformer comes along and
6:37 ostensibly what it does is it allows you
6:40 to train these machine learning models
6:41 on massive data sets
6:44 so the ter the the acronym GPT chat GPT
6:49 stands for generative pre-trained
6:51 Transformer so the Transformer the T in
6:54 GPT is Transformer so that's the
6:56 technology generative means it's
6:59 generating
7:00 generating content right it's generating
7:02 original content it's not copying and
7:04 pasting it's not stealing from other
7:06 people's writings it's actually
7:07 generating and then pre-trained is that
7:09 idea that it's been trained you don't
7:11 have to bring your own data they've they
7:13 brought the data for you open AI spent
7:16 years tagging and identifying data
7:19 sources so like all over the public
7:21 internet they found as many data sources
7:23 as they could Wikipedia and blogs and
7:26 websites and
7:27 you know research
7:29 things and universities as much data as
7:31 they could and they got it all you know
7:33 in in this trainable format and that's
7:35 why if you play with chat GPT you learn
7:39 really quickly it it's knowledge stops
7:42 uh in September of 2021. why is that
7:45 because it took a really long time to
7:47 train these things
7:48 so the big difference is that we as mere
7:51 mortals don't have to bring our own data
7:53 set it's been pre-trained and we you
7:56 know chat GPT turned it into a just a
7:58 simple little it's just as simple as a
8:00 Google you know chat box but when you
8:03 type in something simple you get back
8:05 something remarkable so so
8:08 the way I like to think of it is you're
8:10 effectively tapping into a massive
8:12 amount of the output of humanity
8:15 without having to learn it it knows how
8:17 to program it knows different languages
8:20 it knows
8:22 how to write it knows how to it's just
8:26 crazy so that's that's kind of the the
8:28 big difference is is the fact that you
8:30 don't have to bring your own data it's
8:31 not BYOD
8:33 [Laughter]
8:41 all right let's see
8:44 let's do this offline because I have a
8:47 teleconference to attend okay yeah
8:49 that's cool Arthur just just DM me in
8:51 the DMS and and we'll hook up and you
8:53 can teach me how to put hot links in my
8:54 in my lives I figured out how to do the
8:57 dual camera thing that's pretty
8:58 impressive people ask me about that all
9:00 the time let me get that out of my face
9:03 um
9:04 uh and welcome to contact you cool have
9:07 a good night and presentation thanks
9:09 again thank you
9:10 all right if you have questions about
9:12 generative AI pop them in the um uh in
9:16 the in the thing below tap the screen uh
9:19 if you if you you know to let people
9:21 know we're here or share this live
9:22 anything you want to to get to get
9:25 things out there
9:27 um I'm trying to think what else is is
9:29 worth talking about today
9:32 I saw a cool piece of technology that
9:34 tracks elements in a video but that's
9:36 kind of geeky and not all that
9:38 interesting
9:39 um
9:40 let's see oh well the the nuggets are
9:43 playing and Trump got indicted so so
9:46 there's that happening it's been a busy
9:48 day it's been a busy day at newswise but
9:49 that's not what this channel is about
9:50 there's plenty other channels for that
9:52 stuff
9:54 um if if you um if you have questions
9:57 about uh Chachi PT pop them down below I
10:00 can also show you
10:03 um if you're new to chat gbt I'll show
10:05 you a couple of uh you kind of have your
10:07 chat history down the left and then you
10:10 have this big dark window
10:12 this I guess the dark window represents
10:14 you know all of the possibility
10:17 um and then uh you can just type in uh
10:20 explain quantum
10:24 physics
10:25 as an m in M rap
10:30 Bang
10:32 then it will write you a wrap like it's
10:35 fast that's gpt3 gpt3 is much faster
10:38 than uh gpt4 but gpt4 is more capable
10:43 okay let's see metadata I don't know
10:47 what that's a question to
10:49 um what's the next big ai ai idea
10:53 you would do if you had lots of money
10:55 that's a good question
10:59 I think I would do I actually had an
11:03 idea for this today
11:04 I would do something around authenticity
11:06 I think the 2024
11:09 I think the 2024 election is going to be
11:12 if you thought 2016 was a show in
11:16 2020 was a show
11:19 um I think the 2024 election is going to
11:21 be
11:23 um the most and most sophisticated
11:25 misinformation and disinformation and
11:28 deep fakes we've ever seen it's going to
11:29 be absolutely insane
11:31 and I think there's going to be a
11:33 backlash to that in in 2025 2026 where
11:37 there's a real demand and there's a real
11:40 need there's a there's an actual need
11:42 for being able to validate the
11:44 authenticity of content so my company
11:46 storyvine we have people film videos of
11:50 themselves talking about whatever story
11:52 we designed we create a little story
11:53 framework our app guides them through
11:56 telling that story it goes up to the
11:57 cloud five minutes later you got a fully
11:59 edited video super cool but it's real
12:01 people telling real stories about their
12:03 lives
12:05 two years from now
12:07 there will be videos out there that
12:10 don't look any different from our you
12:12 know self-produced
12:14 um phone videos right so so how do you
12:17 authenticate you know is this human is
12:19 it is it synthesized is it a real story
12:21 but a synthesized person so I think I
12:23 would do I would do something around
12:25 around
12:26 um authenticity because I just think
12:28 it's a major problem major major problem
12:32 um who would you bet in the lead oh who
12:35 would I bet in to lead large language
12:38 models by 2025 that's not too far out
12:41 Google Microsoft or other
12:43 uh
12:45 I'm gonna just roll Microsoft and openai
12:48 together because they're ostensibly you
12:51 know they're rolling together although
12:52 open AI is free to compete with them but
12:54 I think I think they'll be pretty tight
12:56 at the hip at least by for 2025
13:00 um
13:01 Google is way behind
13:03 um they also but they have a lot of
13:04 money and they have a lot of power so I
13:07 wouldn't put and they have a lot of
13:08 smart people but they're really heavy on
13:10 engineering and not so heavy on the
13:12 human factor side and the the empathy
13:15 side
13:16 um I think open AI is much better at
13:18 that
13:20 um I think anthropic is going to be a
13:23 major player
13:25 um
13:26 meta while they're behind are doing some
13:28 interesting like they're open
13:30 sourcing a bunch of stuff and they're
13:31 putting stuff out there and I think one
13:33 of the advantages of open open sourcing
13:35 things in the AI space right now is that
13:38 because chat GPS like you know exploded
13:41 and and caught fire
13:44 um
13:45 there's so many developers in the space
13:47 I think by open sourcing your technology
13:50 you basically get free development
13:53 um which you can then just grab yourself
13:55 because it's open sourced right so
13:57 I would
13:59 I wouldn't put meta out but there I'd
14:02 say I'd say they're more behind than
14:04 Google
14:06 and Google's way behind Microsoft and
14:08 open AI so for for me right now open Ai
14:12 and and Microsoft are going to be in the
14:14 lead
14:15 I would say anthropic is probably going
14:18 to be there so you know I don't know if
14:20 you remembered a few weeks ago there
14:23 were four CEOs that were invited to the
14:24 White House to talk about AI it was the
14:27 CEO of Microsoft the CEO of openai Sam
14:30 Altman the CEO of Google and who was the
14:33 fourth the CEO of anthropic so anthropic
14:36 is a handful of X open AI employees that
14:41 started a competing company
14:43 um and they're really good they've got a
14:45 really interesting model so
14:47 that's my prediction I'm not a psychic
14:51 but I play one on the internet
14:53 make money
14:56 okay
14:58 oh and I'm also an idiot sometimes
15:00 that's just part of the King movies yes
15:02 dead people will be making so so
15:06 here's a really interesting thought
15:10 um all of the popular people today and
15:13 and you know in the past that we've got
15:15 videotape and audio tape of
15:18 um we're gonna be able to synthesize all
15:20 them like you there you know a month or
15:22 so back there was that song that came
15:23 out by Drake in the weekend that wasn't
15:25 actually Drake in the weekend
15:28 um and then a week after that
15:30 um uh Grimes Elon musk's ex-wife
15:33 um said hey steal them you know like
15:36 like synthesize me all you want just
15:37 give me half
15:39 um
15:40 so I think I think it's there's just
15:43 going to be a massive new industry this
15:44 actually might be something I'd go into
15:46 it's just there's going to be a massive
15:48 industry to to take the like license the
15:51 likenesses of famous people and you'll
15:54 just be able to put you want young Elvis
15:56 to Star in Star Wars okay it's something
15:59 you'll just go I want to watch Star Wars
16:01 where young Elvis is Luke Skywalker
16:03 it'll start playing and he'll be in it
16:06 and he'll shake his his uh his hunky ass
16:11 um so yeah and but so the thing that I
16:13 think is interesting is like like okay
16:16 that's gonna happen for all the famous
16:17 people now but but if we basically just
16:20 repackage and re-synthesize and all the
16:22 all of our favorite people in the past
16:24 like how do new people get popular so
16:26 I'm wondering if there's going to be
16:27 this like what's the battle between you
16:30 know how do I make it in the world if
16:32 I'm always competing against the Beatles
16:33 in their Prime you know I don't know I
16:36 don't know the answer to that
16:39 crazy it's crazy I loved you in Modern
16:42 Family yeah it's the second Modern
16:44 Family I joke at least that wasn't a
16:46 Rosie O'Donnell I got you look like
16:48 Rosie O'Donnell the other day and uh fat
16:50 Alec Baldwin
16:52 um if you have questions about uh
16:54 generative AI pop them down below what I
16:57 like about my trolls on on my lives is
16:59 that they're actually they're
17:00 semi-complementary you know I mean sure
17:03 he's chubby but he's funny on Modern
17:05 Family
17:06 mm-hmm
17:08 oh I don't have water jeez now dang it
17:11 [Laughter]
17:13 all right I'm not gonna I'm not gonna be
17:15 here for too long
17:17 um oh so let me let me show I was
17:20 showing you before about
17:21 um chat chat tvt you're gonna make money
17:23 I wanna chat you in my day
17:26 um
17:27 so if you pay for GPT plus which is the
17:31 little yellow flag there where did it go
17:33 okay it's back
17:35 um then you get access to gpt4 and you
17:39 can enable you turn on your beta
17:40 features and you can enable browse with
17:42 Bing and you can enable plugins so
17:45 browse with Bing is basically GPT
17:47 connected to the internet
17:49 and then plugins are these plugins
17:52 they're they're like little apps that
17:54 you
17:55 turn on in a session you can turn on up
17:58 to three of them at a time and what
18:00 you're essentially doing is creating a
18:02 little mini application so
18:05 um like there's this this one's video
18:07 insights there's web pilot and Link
18:09 reader those will read websites as well
18:12 just the normal
18:14 um the gpt4 connected to the internet
18:19 um but like this x papers one that'll go
18:21 out to the archive site where all the
18:23 white papers are and I can I can create
18:26 a list of actually let's go do that so
18:28 I'm going to turn on this one I'm going
18:30 to turn off wolf from wolf from Alpha
18:32 that's if you want to do math so I've
18:34 got
18:35 um what's it called X papers turned on
18:38 so I'm going to say
18:40 um
18:41 make me a table of white papers
18:47 about ML and AI that were released this
18:54 week and rank each of them
19:02 in order of
19:07 potential impact I don't know let's see
19:11 what it does so now we hit that
19:14 and it's going to figure out that I need
19:15 to go get some white papers and it
19:17 should fire off that plug-in so it fires
19:19 off the plug-in
19:20 and then we can we can open the plug-in
19:22 there's a little down you know little
19:24 carrot here we can drop it open so it
19:27 says it's querying machine learning or
19:30 artificial intelligence Max results 50.
19:33 start date end date so it automatically
19:35 so it's automatic so what the plugins
19:37 are doing is they're basically just
19:38 coding based on your input
19:42 it says apparently there are no papers
19:44 related to machine learning artificial
19:46 intelligence that were released
19:48 I don't buy that
19:51 um let's see
19:55 um was