AI Learning Lab

aiLL 5/31/23 - Demystifying AI Tools at Your Fingertips

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Video2023-08-071:36:046 views

Description

In this May 31, 2023 live session, I share my perspectives on the remarkable AI tools now available to everyone for free. I explain how these tools like ChatGPT are poised to transform industries and our daily lives. While acknowledging risks, I aim to demystify AI and encourage viewers to engage with an open and curious mindset during this historic time. Tune in to explore what's possible when we tap into AI's creative potential. Don't miss this lively discussion on the AI revolution unfolding before our eyes. Find all my sessions at the AI Learning Lab address: https://tiktok.com/@aiLearningLab ↗ #ai #chatgpt #future 0:29 - Urging people to try ChatGPT and treat it like a "creative collaborator" 7:48 - Showcasing AI image generation tools and calling results "remarkable" 15:23 - Arguing these tools will bring "remarkable scientific progress" in the near future 22:10 - Encouraging learning about AI tools to avoid being "left behind" 27:36 - Emphasizing critical thinking is key, not just having AI "do the work for me" 44:20 - Warning of caution needed to avoid issues like bias in models 49:17 - Believing those using AI positively now can shape its "future direction" 1:14:46 - Declaring we're at the "beginning of something incredibly powerful" in history

Chapters

Transcript

0:01 foreign
0:36 sorry it's getting things set up again
0:38 all right I reset my Wi-Fi router I'm
0:40 back live again the hair is being
0:42 special
0:44 um Kyle Shannon with the AI learning lab
0:46 we're getting just getting going live
0:48 again so welcome back I got ice water
0:52 resetting a router is hard
0:56 um
0:57 uh this is the AI learning lab if you've
0:59 got questions about AI
1:01 um drop me a uh a comment and I will do
1:04 what I can welcome back for those of you
1:06 that were
1:07 at openai.com that's the official chat
1:10 EPT website if you have not played with
1:12 it you should absolutely play with it Go
1:16 Tell it to write you a poem or write you
1:17 a song greetings from Minneapolis hello
1:19 Minneapolis
1:22 um also if you want to geek out on lots
1:23 of different tools futurepedia.io I
1:26 don't have any affiliation if you've got
1:27 questions about AI pop those in the
1:29 comments uh hello everybody Welcome
1:33 um I am a uh I'm just a guy I'm a I'm an
1:37 entrepreneur I'm a Founder uh and CEO of
1:41 a video technology company I've been
1:44 deep diving in AI for about the past
1:46 year and I started this Channel and I
1:48 started an AI salon and I started an AI
1:51 art project and I'm now completely
1:53 reimagining my business
1:55 uh uh on AI and and uh it's every air
2:01 the the more I learn about this stuff
2:02 the more profound I think it is so
2:05 that's why I'm doing this that's who I
2:07 am I'm happy to answer any questions I'm
2:09 happy to chit chat
2:11 um if you love the idea of a salon just
2:13 join if you go to the salon.ai there's a
2:16 link tree there so we've got a meet up
2:18 we've got we do meetings every two weeks
2:21 we've got a Discord server where you can
2:23 geek out and you can do mid Journey
2:25 images and ask questions and and you
2:29 know meet meet cool people that are
2:31 doing things
2:33 um so so definitely come join and uh
2:36 it's a cool Community it's really neat
2:38 so
2:40 um
2:40 yeah so that's that
2:42 um I try to keep up on the news although
2:44 you know it's the stuff is moving so
2:48 fast right now that if I take like a day
2:50 off like today I actually worked on work
2:53 work you know like for my company
2:55 instead of geeking out on AI and I feel
2:57 like oh my God what did I miss and it's
2:59 a lot like there's just there's a lot
3:01 every day right now uh the connection is
3:03 much better great yeah I reset the
3:05 router so thank you for that I
3:07 appreciate the feedback Emilio's wife
3:09 hello I'm back I I'm out of detention I
3:13 was in detention for a while oh there's
3:15 a whole bunch more people here now um if
3:17 you're new to this my name is Kyle
3:18 Shannon this is the AI learning lab I
3:21 talk a lot about AI here
3:23 um that site is the official chat
3:26 website if you have not played with it
3:28 just go there right now and while you
3:30 listen to me ramble
3:32 have it write a song for your
3:33 significant other or about your dog or
3:36 or or whatever
3:38 um ask it to write you a python
3:40 application that my big Insight with
3:42 chatgpt was
3:44 um asking it to program something for me
3:46 um have it reformat some HTML have it
3:49 analyze some code have it I don't know
3:51 it's just remarkable and so that's that
3:53 and then futurepedia.io is just a site
3:57 with lots of uh it's just a list of
3:59 different AI tools so so okay yeah I get
4:04 put in timeout regularly and I don't
4:06 know why because I've never read the
4:07 community guidelines but apparently I
4:10 violate them a lot I think actually last
4:12 time I got booted when someone asked me
4:14 a question about
4:16 um bias in the models and I was
4:18 explaining how the bias gets in there
4:19 and how to deal with it and it just
4:21 booted me so I think the minute you
4:24 start talking about polarizing issues it
4:28 decides if it doesn't like the issue
4:29 you're talking about it says okay you're
4:32 gone so I think that's what happened
4:35 um
4:36 so all right
4:40 connection's much better that's great if
4:43 you have questions about AI pop those in
4:45 the in the things below
4:48 um I can I can do little show and tells
4:52 you know what I might do is I might pop
4:54 open
4:56 Photoshop
5:00 beta
5:02 and I might show you guys some of the
5:04 generative fill stuff if you haven't
5:05 seen that stuff yet it's pretty pretty
5:07 remarkable
5:08 is this the beta yeah that's the beta
5:12 um I think we could probably do it in
5:14 there couldn't we let's see
5:17 mm-hmm
5:24 [Music]
5:27 go to layers where's layers
5:36 all right so I'm going to turn off the
5:38 copy
5:42 and then so the way this works let me
5:45 grab the
5:49 change my canvas size here
5:54 we'll go width we'll go a thousand
5:58 oops
6:02 thousand height will go 1400
6:07 all right so so now I've got this this
6:11 cool image that I made in stable
6:14 diffusion
6:16 that's sitting in the center of this big
6:18 canvas and what you can do now is you
6:21 can just start to extend
6:23 the canvas so if I just select
6:26 the area to the right
6:28 and the area to the left
6:34 it now has it now pops up this little
6:37 um
6:39 contextual menu it's this little
6:41 contextual menu and it says generative
6:43 fill and if I hit that
6:46 I have to agree to their terms if I hit
6:48 that I can type in something or I can
6:50 just hit generate and so I'm going to
6:52 hit generate now
6:54 let me try to get this so you can see it
6:56 get my fat neck out of the way
6:59 all right so there's the image so I'm
7:00 going to hit generate
7:02 so now it's thinking
7:10 all right it's doing all that stuff
7:14 and
7:17 it didn't create anything I didn't
7:18 create anything what is going on
7:21 hold please
7:23 oh I might have been on the wrong layer
7:24 I know it's on the wrong layer
7:26 I'm a dum-dum I'm a dum-dum I don't know
7:30 if you knew this but I'm a dumb dumb
7:32 okay hold please uh do I want to delete
7:35 generative layer one yes I do I'm gonna
7:37 go to now I'm going to go down here okay
7:40 sorry sorry you know
7:43 I'm I'm photoshopping live here people
7:45 what do you want from me what do you
7:47 want from me I'm trying to show you some
7:49 cool stuff okay so I'm selecting the
7:51 area to the right I'm shift selecting
7:53 the area to the left and now I'm going
7:55 to say generative fill generate
8:00 and you can extend the image
8:02 automatically too I don't know how to do
8:04 that that's cool though all right let me
8:07 see
8:08 extend the image that's yeah that's what
8:10 I'm doing
8:12 oh wait I didn't hit generate again okay
8:14 all right there's our little progress
8:16 bar now we're going this is going to be
8:18 so good it's gonna be so worth the wait
8:20 I just went from 150 viewers to 50
8:24 people like what the hell is this this
8:26 guy just why is it not showing my oh
8:30 it's not working now I don't know how to
8:31 I can't do this live why is it not
8:33 working
8:35 why is it not working
8:39 huh
8:41 I do not know why it's not working
8:48 [Music]
8:50 well anyway all right well that was one
8:54 of those you know you know those things
8:56 where people are like oh I'm gonna show
8:57 you this cool thing and then they just
8:59 do what I just did yeah that was nice
9:01 all right well whatever
9:04 um okay so if you're new here I will
9:07 answer questions I can about
9:09 um AI apparently my Photoshop beta is
9:12 not working for some reason it's that's
9:14 very very weird I don't know what was
9:16 going on with that what you doing I'm
9:18 just hanging out so if you if you're new
9:20 here go to that URL that's chat GPT if
9:23 you haven't played with chat GPT start
9:24 that
9:25 um can you pull a photo out
9:28 wait can you pull a photo out of a video
9:32 using Photoshop yeah you can just do a
9:34 freeze frame within a video right I I
9:37 just do
9:38 screen captures I just pop things open
9:40 in QuickTime and just do a screenshot
9:42 do I think a person or AI booted you I
9:45 have no idea
9:47 uh
9:48 uh I assume it's the algorithm
9:51 um do you think the excitement over llms
9:54 will lead to neglect in research of
9:57 other methods
9:59 hmm that's a good question
10:04 I think llms are here to stay I think
10:07 that
10:10 I I mean it's it's hard to know you know
10:13 where things are going but I think the
10:15 future is multimodal and and if you look
10:17 at the plug-in architecture of Chach EBT
10:21 um
10:22 right now these tools feel very single
10:25 purpose right like touch ebts for words
10:27 and mid Journeys for images and
10:29 photoshops for images and we're going to
10:31 be moving into a much more multimodal
10:34 kind of future where you just ask it to
10:37 do stuff and it will figure out do I
10:39 need to put a plug-in here do I need to
10:41 make an image do I need to make a video
10:44 does this person want to hear music do
10:46 they want me to write them a symphony
10:48 do do they want me to print out the
10:51 sheet music of the symphony right so I I
10:53 think I think we're we're
10:57 I kind of feel like AI for for regular
11:00 people which let's call the you know
11:03 November 30th is when of of 22 is when
11:07 chat GPT came out
11:09 this marks the the turning point where
11:12 regular people get access to these
11:14 incredible incredibly powerful tools and
11:16 and you know have kind of adopted them
11:18 overnight
11:20 um I think we've got training wheels
11:22 right now
11:23 and I think we're just kind of learning
11:25 what these things are and what what's
11:26 even possible
11:29 um
11:30 I think things are going to get very
11:32 transformative very quickly
11:35 um so
11:36 I suppose focusing on large language
11:38 models is gonna
11:41 it might hamper other activities but if
11:45 you look at if you look at what's
11:46 happening on GitHub every time a new
11:49 concept comes out white paper comes out
11:51 technology comes out it gets adopted by
11:54 by the the dev Community like that and
11:57 you you're just there's just an
12:00 explosion right now in Innovation and
12:03 some of it's really crappy and just
12:04 thrown together but some of it's really
12:06 exciting and you're seeing people kind
12:08 of mixing and matching the piece Parts
12:10 as they come out so
12:12 um I I don't I don't think so have I
12:14 messed with any llms mixed with
12:17 extensions via uba uba Booga I have not
12:23 um I don't know what that is but I'll
12:24 check it out my thing is it forgets
12:27 things you set as non-variables uh
12:30 Chachi BT does yeah well it's got a
12:33 three thousand um
12:35 word or a 4 000 token context window so
12:40 if you do anything longer than that it
12:41 forgets stuff off the top there are
12:44 going to be solves for that and and in
12:47 fact one of the solves is if you go to
12:51 um po.com
12:56 you have to pay for this but
13:00 you get access to all these different
13:01 models right so the sage is there's gpt4
13:05 Claude Plus
13:07 and then Claude instant 100K what that
13:10 means is that's a hundred thousand token
13:12 model
13:14 so you can you can put into your chat
13:18 window 75 000 words you could literally
13:21 copy and paste a long novel and start
13:24 asking questions on it or in your case
13:26 if you if you're doing things where it's
13:27 for getting context
13:30 um you could uh you could use that for
13:33 you know for for better memory but you
13:36 know there's things like Lang chain and
13:38 and things where you can you can build
13:40 memory so so that it's remembering the
13:43 conversations
13:44 um but that's going to get better
13:45 there's going to be tools that come out
13:48 um I don't know three months six months
13:53 um uh what do I think about the royalty
13:56 license based Falcon 40 billion large
13:59 language model outperforming llama 65
14:01 billion well I think that
14:03 [Music]
14:04 um
14:06 I I don't know the royalty license based
14:09 one but I assume that means that
14:11 um artists or or or data that it was
14:15 trained on they get royalties or they
14:17 get or they get attribution which would
14:18 be kind of cool
14:20 um if it doesn't mean that then then
14:21 that's just my ignorance of that but the
14:24 fact that you you're seeing
14:26 smaller large language models
14:29 outperforming larger ones
14:32 um
14:32 I think we're going to continue to see
14:34 that and that's there was a there was a
14:36 Google there was a called we have no
14:40 moat we have
14:42 no moat
14:46 Google we have no Moats
14:49 so this article so if you if you just
14:52 Google we have no mode this this is an
14:54 article let me see if I can get Focus to
14:56 go
14:57 this is an article that that it's it's
14:59 an engineer from Google this is not an
15:00 official opinion but what he basically
15:03 says here is that
15:05 um for a hundred bucks with with a with
15:08 a small language model
15:10 um you know scrappy little developers
15:12 are creating
15:13 large language models that are that are
15:15 as as good or close to as good as what
15:18 Google and openai are spending millions
15:22 of dollars producing
15:24 um and and so he says he thinks that's
15:27 going to continue to happen and there's
15:28 no real competitive Advantage for them
15:30 to to be doing these big models I don't
15:33 know that that's necessarily true
15:36 um because like Google owns all the data
15:39 right so I think Google's going to be
15:41 able to to make these things Google's
15:43 also very very aggressively starting to
15:46 fight back against open AI it's it's
15:48 ironic that they're having to fight back
15:50 against open AI since they invented the
15:52 technology that is the is the sort of
15:54 key little nugget that's making all
15:56 these things work this well
15:57 um but but they are they kind of
16:00 mothballed something that was really
16:02 cool
16:03 um and then now they're now they're
16:05 struggling to to catch up
16:09 um just had chat EPT write me an SNL
16:12 Monologue for George Carlin Best Line
16:14 Comedy is just tragedy plus time oh
16:16 that's cool I think that's something
16:17 that he actually said
16:18 I'm a big George Carlin fan
16:22 I am using experimental Google Bart 2
16:25 this is much more advanced
16:28 oh cool
16:30 oh wait
16:32 say I missed whatever you said before
16:34 that oh agent GPT can overthink about
16:36 questions you ask
16:38 it by itself yeah the the the autonomous
16:41 agents so so what she's talking about
16:44 there is there's there's these things
16:46 called autonomous agents one's called
16:48 Auto GPT there's another one called Baby
16:50 AGI
16:52 I'm sure there's a pile of them out
16:54 there now that um rather than you having
16:57 to prompt it and and you know give it
17:00 explicit an explicit request and get an
17:03 explicit response you give it a goal you
17:05 say I want you to go find I don't know
17:08 the revenue and marketing taglines of my
17:11 competitors and they will just go figure
17:12 out what it needs to do it'll be like oh
17:14 I gotta go search Google for you know
17:17 what the competitors are and I've got to
17:19 go over here to find the financial
17:20 information it writes its own prompts
17:23 but they get a little lost right now
17:24 they're they're very early so so all of
17:27 those autonomous agents right now are
17:28 pretty janky but but they're still
17:31 pretty cool
17:32 um
17:35 Tick Tock experiment
17:37 followed the live Creator that's cool
17:39 that's a cool name how much is it how
17:41 much is what chat GPT this
17:44 that's free or Poe I was talking about
17:46 Poe I think it's 20 bucks a month for
17:48 Poe
17:50 what do I think of pie
17:53 the mathematical constant is it a
17:57 constant
17:58 [Laughter]
18:00 the mathematical uh thingy
18:03 I think Pi is awesome it's infinitely
18:06 awesome
18:09 never repeats never repeats
18:15 um that's the article that really
18:17 excited me and made me interested in
18:18 learning more about AI yeah the the we
18:20 have no moat thing is a pretty
18:21 remarkable it's a pretty remarkable
18:23 article
18:26 um oh inflection AI Pi I don't know what
18:29 that is let me go see if I can I'll look
18:31 real time uh inflection AI pi
18:38 oh on pie your personal assistant
18:43 is this built on top of
18:47 doing [ __ ] for me right now
18:51 hey pie sorry you've been blocked
18:54 oh
18:57 I think I I think someone was trying to
19:00 scam me damn you
19:03 don't go there
19:07 all right
19:09 you are welcome to leave if you were
19:11 just trying to get me to
19:13 [ __ ] up my machine
19:16 um let me get rid of this window
19:19 all right there you go oh that's a cool
19:21 paper so so this is a paper this is a
19:23 paper called generative agents so
19:27 what the hell is going on oh it's
19:29 reloading okay
19:31 I hope that didn't just install some
19:33 shitty something in my in my machine
19:36 um
19:37 this is a really cool paper generative
19:38 agents
19:40 um these are so this is like a sims-like
19:41 little world
19:43 and
19:45 um these things use chat GPT to talk to
19:48 one another and they they have memory
19:51 from day to day so it's amazing
19:54 so all right
19:56 let's see especially raspberry
19:59 I've had it give me incorrect info when
20:01 I questioned it it apologized and
20:03 answered again yeah Emilio's wife but it
20:06 will
20:07 apologize answer you again and often get
20:09 it wrong the second time and third time
20:11 and fourth time as well I like to call
20:13 Chachi BT mansplaining as a service
20:15 because it will confidently answer you
20:17 even if it's wrong
20:19 mid-journey alternative is leonardo.ai
20:22 and it's free in basic yeah so
20:25 um leonardo.ai is really really good
20:29 um it's it's not mid-journey
20:32 um I think it's built on top of stable
20:34 diffusion leonardo.ai but it's an
20:36 incredibly powerful
20:38 um
20:40 yes I'm white listed it's an incredibly
20:42 powerful front end
20:45 I gotta log in
20:47 ain't doing this stuff live is pain in
20:50 the booty
20:51 but that's it's called live we're doing
20:53 it live isn't this exciting
20:56 I could get infected with oh there's all
20:59 sorts of crazy images what are you
21:01 people making out there anyway
21:04 um
21:05 yeah it's it's uh
21:08 it's pretty cool here's this this is my
21:10 feed on Leonardo
21:11 receive status I wonder if I'm gonna
21:14 have to quit Microsoft edge here for a
21:17 second
21:18 because I think the memory just went
21:20 kaboomy when I went to a shitty
21:23 non-good site so let me
21:27 fire that back up and see if it's still
21:29 malbehaving
21:31 um I've heard having two AI essentially
21:33 debate oh wait hang on essentially
21:36 debate answers leads to more accurate
21:38 results yeah Jeff it that's a way to do
21:41 it and then also
21:43 um
21:44 uh oh hang on a second here
21:48 okay
21:55 oh please all right
21:58 um
21:59 I'm gonna go do something uh
22:02 my machine just hung for a second
22:06 am I still live am I live am I live
22:10 Edge
22:16 all right let's see
22:20 my back let me pin this open
22:24 hello hello am I still alive am I here
22:27 yes okay great
22:31 terrific all right back to questions
22:35 I no longer have memory day to day I
22:37 know welcome to my life too
22:40 um oh so Jeff asked the question I heard
22:42 that having two AIS essentially debate
22:44 answers leads to more accurate results
22:45 yeah they can do that I think there's
22:47 going to be whole systems that are built
22:49 to to make sure things are accurate
22:52 um
22:52 but one thing that you can do with chat
22:55 GPT is when it gives you an answer you
22:58 ask it to evaluate its own answer and
23:00 tell you how it would improve its answer
23:03 and then apparently it gets quite quite
23:06 good after that I haven't played a ton
23:08 with that
23:09 generative agents more than a paper
23:11 anything to demo or interactive I just
23:15 saw
23:17 some video game I saw footage from a
23:20 video game where
23:21 a character walked into a bar and
23:23 started talking with one of the NPCs and
23:26 it was an open AI conversation so
23:30 um
23:31 I assume that stuff's being developed
23:33 right now I think we'll see those
23:35 generative agents quite soon but I I
23:37 don't know that there's anything live
23:39 you can play with you can if you go to
23:41 the paper
23:42 there's a hugging face
23:44 instance of the paper I think you can go
23:46 play with you can go play with the The
23:49 Sims thing that they have set up and you
23:51 can watch it do its thing it's pretty
23:53 remarkable
23:54 would many small smaller llms debating
23:57 answers be more accurate than a much
23:59 larger one probably yeah like I I think
24:06 I don't know
24:08 I think that I think the large language
24:10 models are going to be kind of like
24:13 internet like like like right now we
24:16 just like you have access to Internet
24:17 like everyone's got access to it it's
24:19 kind of this ubiquitous thing I think
24:21 that's how the large language models are
24:23 going to be and then I think you'll see
24:24 tools stacked on top of them and and
24:27 probably smaller more specialized llms
24:30 or just little training sets that that
24:33 you know kind of Leverage both will be
24:35 there so so I think so I think that's
24:37 probably where we're headed is is to a
24:39 more um
24:41 a more
24:43 um
24:44 modular
24:46 kind of kind of future but I also think
24:48 that that modularity
24:51 developers are going to have to deal
24:53 with the modularity but I think for us
24:55 us humans
24:57 that modularity is going to drift into
24:59 the background very very quickly it's
25:00 just going to be like these tools are
25:02 just going to get more powerful and more
25:03 mythical mystical
25:07 what's the prompt to improve an answer
25:10 um I forget what it's called
25:14 um
25:16 it's not query you don't have a query I
25:19 forget what it is I forget what it is
25:22 can it build a business plan sure let's
25:23 go do that right now I'm just going to
25:26 go to chat GPT
25:29 and I'll say here's how we'll do a
25:31 business plan we'll do um
25:34 what are
25:36 three different
25:39 business plan Frame Works
25:45 for a startup
25:47 question mark let's go see what it gives
25:49 us there
25:50 are numerous business plan Frameworks
25:53 The Lean Startup plan
25:57 blah blah blah the business model canvas
26:00 that's a cool one
26:02 I'm a fan of the business model canvas
26:05 and the traditional business plan
26:08 so let's say
26:10 can can
26:12 you create a custom
26:17 framework
26:19 framework
26:22 um
26:23 that is a hybrid of
26:28 these three
26:30 so it remembers it knows what I'm I'm
26:32 referencing when I say these three
26:35 so it says sure here's a potential
26:37 business plan
26:39 that that combines aspects of Lean
26:41 Startup business model plan and
26:42 traditional
26:44 plan the framework can be termed hybrid
26:48 business model hbm this is the this is
26:51 the HPM this is awesome executive
26:54 summary value proposition market
26:57 analysis marketing strategy
27:00 customer relationships key Partnerships
27:02 revenue streams and cost structure
27:04 implementation timeline and key
27:06 Milestones lean methodology
27:08 so is it just giving me 10 are we going
27:11 deeper okay give me 10.
27:14 all right so there's that so so then
27:15 I'll say um
27:19 can you ask
27:22 me
27:26 a series of questions about my business
27:33 so that you have enough information
27:38 to
27:42 um
27:42 write a plan based on that framework
27:50 frame work
27:54 um
27:55 um
27:57 do not
27:59 proceed to the next
28:04 question
28:06 until I say
28:09 okay do you understand what that should
28:12 do that last little thing is rather than
28:14 it just giving me a pile of questions it
28:16 should ask them one by one
28:19 absolutely I understand let's proceed
28:21 step by step
28:23 one can you provide me a brief overview
28:25 of your business outlining what you
28:27 wanted to do why it's Unique and how it
28:29 will generate money I want to sell
28:34 Frozen lizards
28:39 on street
28:41 street corners
28:45 I think frozen lizards
28:49 are cool
28:51 and people
28:54 will pay a lot for them
29:01 interesting concept before we move
29:04 forward could you clarify a few points
29:06 are these lizards so so you know you you
29:10 see you know the the sort of smart-ass
29:12 response I put in there but
29:15 um
29:16 here's here's the thing about about chat
29:19 GPT that that
29:21 this is a subtle shift that took me a
29:24 while to get my head around
29:27 Google trained us for years
29:31 to get good at prompting it right so we
29:34 had to kind of you know early in
29:36 Google's days you had to learn Boolean
29:38 logic and and you know underst they
29:42 trained us how to use it and the basic
29:44 idea there is you want to get good at
29:46 writing a single prompt and getting back
29:48 good results what happens with chat apt
29:50 it's much more like a collaborative
29:52 conversation and so what I just did
29:54 there with the business plan thing was
29:56 just this kind of back and forth hey
29:57 tell me about business plans and then
30:00 make me a hybrid and then you know ask
30:03 me questions and you can really treat
30:07 your interaction with it like you're
30:08 collaborating with with a really smart
30:10 you know co-worker
30:13 um and and that's that's kind of it I
30:15 mean it's it's it's incredibly powerful
30:18 all right I'm going back here am I on
30:20 YouTube I missed this stream
30:22 I'm not on YouTube on Tick Tock and
30:26 and uh
30:29 and and I I've been busy at work so I
30:31 haven't been putting up as many tick
30:32 tocks and then I was in detention for
30:35 for being a bad boy here on Tick Tock
30:38 they kicked me off for a week this is my
30:39 this is my second detention
30:42 um I have no idea what I said I don't
30:44 really care
30:45 um I'm just trying to help people here
30:47 so
30:49 there you have it
30:51 all right
30:53 um
30:58 in the salon space What are you asking
31:02 um I don't know what you're asking okay
31:03 have any recommendations on a program
31:05 that can make a 3D printing model
31:09 from a text or image prompt it's coming
31:12 um
31:13 there was a thing out today
31:18 well yeah let me go look on Twitter here
31:20 hang on
31:21 um
31:22 text
31:24 to 3D
31:29 um
31:34 yeah this thing come on focus focus
31:37 focus
31:40 um and I'm too bright there you go
31:43 um so this is called prolific Dreamer
31:47 High Fidelity and diverse text to 3D
31:51 generation
31:52 with variational score distillation huh
31:57 these Geeks know how to Market don't
31:59 they
32:00 did you know it had a variational score
32:03 distillation no I didn't does it really
32:05 oh yeah what's that do I have no idea
32:10 um but it does something but these look
32:12 like you know fully complete 3D 3D
32:15 objects that they're rotating around
32:16 here so
32:19 two or three months ago the text to 3D
32:22 stuff was
32:24 um you know kind of laughably bad now
32:26 those things look like decently modeled
32:29 3D models so I would say give give it
32:36 you know maybe by the end of the summer
32:39 um you should be able I'm sure there
32:41 will be a service that's that's you know
32:43 type in your thing here and output your
32:46 model there I would I would be not
32:49 surprised at all if if a site like
32:51 thingiverse or one of the 3D model sites
32:54 um just Incorporated text to 3D right in
32:56 it so I I would imagine very very
32:58 quickly you're gonna you're gonna be
32:59 able to
33:00 either take a 2D image turn that 3D or
33:03 go text to 3D and go straight to the
33:05 printer I I think that's coming quite
33:07 quickly
33:08 Pi is in training but never been blocked
33:11 is that chat gbt three four or five I
33:14 don't know Pi kicked me off that like I
33:16 got I got blocked so I don't know what
33:18 that was about
33:20 ask it a question that needs answered in
33:23 order to do a Biz plan for a biotech
33:25 startup you didn't think my frozen
33:27 lizards was a compelling business idea
33:30 wait ask it a question it needs answered
33:34 in order to oh okay okay
33:37 um okay the a joke
33:41 let's
33:42 start over
33:46 what
33:47 um
33:51 what if I want to start a
33:56 AI powered
33:59 biotech startup
34:03 can you help me
34:08 refine my idea question mark
34:13 of course let's move forward with your
34:16 AI powered biotech startup idea it's a
34:18 very exciting field with great potential
34:21 what's the problem you're trying to
34:22 solve what's a unique solution so it
34:24 just goes through and asks you so so
34:26 yeah you can and what I would say is you
34:28 know rather than having me do this here
34:31 um just go to
34:34 here
34:36 chat.openai.com that's the official chat
34:39 GPT web start site and you know while
34:41 you're listening to me here just start
34:43 interacting with it start asking me
34:44 questions you will get to a business
34:47 plan
34:48 in
34:49 if you've never done it before at all
34:51 and you don't have any clue about it
34:53 probably within 45 minutes if you kind
34:57 of have a sense of what you want and
34:58 know what you want it'll help you focus
34:59 that very very quickly I hope I offer AI
35:03 prompt engineering courses
35:05 um I'm thinking about putting together a
35:07 workshop I haven't done it yet so if if
35:09 that's something that you'd like you
35:11 know give me a follow let me know in my
35:12 DMs
35:13 um or let me know in here it's that's
35:15 something I might put together
35:18 um I love Frozen lizards dry ice costs a
35:21 lot that's good see I'm getting good
35:22 business advice here for my frozen
35:23 lizard business I don't know why you
35:25 guys think this is a bad idea I think
35:27 it's pretty brilliant
35:28 all right let's see
35:31 um it writes amazing content for
35:33 marketing cop copy email copy ebooks if
35:37 you give it the right info yeah there's
35:39 an interesting thing there's a
35:41 if you ask it shitty questions you get
35:44 shitty content if you ask it good
35:46 questions you get good content and and
35:48 one of the things that is
35:50 counterintuitive about it is if it gives
35:53 you crappy content don't quit don't just
35:55 go oh it gave me shitty content
35:58 um tell it it gave you shitty content
36:01 and tell it why that was boring I want
36:04 it to be more funny can you make me
36:06 sound smarter
36:08 um
36:09 you know give it more context than than
36:13 you think is reasonable it's it's almost
36:15 like like what I've found is it's almost
36:17 like
36:18 if someone just introduced you to a
36:20 brand new intern at work and the intern
36:22 was really really smart
36:25 and could kind of do anything
36:28 and you wanted to give that person a
36:30 project what would you say well you'd go
36:32 well hey there
36:35 um
36:36 I'm doing this kind of a project here's
36:39 what the project is about here's the
36:42 specific problem I'm trying to solve
36:44 like if you give it lots of context and
36:47 then ask it to do something it will give
36:48 you much better answers it's it's pretty
36:50 amazing that way
36:53 um
36:54 oh can't drink anything on screen I
36:56 think even water okay that's weird
36:59 uh I should have an ALT account to
37:02 bounce to when I go to jail yeah I
37:04 should probably do that I hadn't thought
37:05 about that that's a good idea
37:07 I will come up with an ALT account it'll
37:10 it's it's uh who's that guy Hawk Hawk's
37:13 got like seven of them so I guess I'll
37:15 have a different account oh man uh tick
37:19 tock tick tick tock experiment it will
37:21 be like any big tech tech transformation
37:23 eventually things just suggest who owns
37:26 the rights to the answers that chat gbt
37:28 gives you do
37:30 um but
37:31 um cheche EBT can use them for training
37:33 there's there's a bunch of security
37:35 issues so if you go to your settings
37:38 there's a data controls thing and you
37:40 can turn off your chat history
37:43 and training so so you're basically
37:45 telling chat GPD not to use your data
37:47 and not to save your chat history
37:49 because that's where a lot of people are
37:51 losing their data
37:53 um but if you if you want to be really
37:55 paranoid about
37:57 um your data privacy and security
38:01 um run a large language an open source
38:03 large language model locally or on a
38:06 virtual machine
38:07 um locally would be the most secure
38:10 um so I would do that but that requires
38:12 some some more geekiness but but you can
38:15 um you've got some level of data
38:17 controls now within chat GPT and those
38:19 are going to get better and I I'm pretty
38:21 sure that chat GPT is going to give
38:24 um
38:26 they're going to give
38:28 um
38:29 that they're creating a business a
38:32 business level account I'm thirsty I'm
38:34 gonna go drink off camera here for a
38:35 second
38:37 if that's really a rule that's the
38:39 dumbest thing I've ever heard
38:41 like what are people supposed to do they
38:43 want you to stay on these things for
38:45 more more than 30 minutes but you can't
38:47 drink water okay text to 3D sounds like
38:49 it's got a lot of retro encabulator
38:52 going on yeah exactly
38:55 um has anyone interested in creating a
38:58 promo
38:59 for my AI map uh please don't
39:02 um uh you know promote business stuff in
39:05 here
39:05 like ask questions like I I really don't
39:07 want this to be a Spam spammy place I
39:09 want this to be a place where we can
39:10 just talk and
39:11 and learn
39:13 um
39:14 where you know I'm I'm happy to talk
39:16 about your business but don't don't spam
39:18 to the audience if you wouldn't mind
39:20 prompt engineering is made unnecessarily
39:23 complicated no I I disagree with that
39:26 I think
39:27 prompt engineering or prompt crafting I
39:30 prefer the term prompt crafting because
39:32 I think it is a really creative Endeavor
39:35 um it's complicated right now because
39:38 the tools are so new like we're just
39:40 getting our hands on this chat interface
39:45 um and
39:48 here's the thing you're you're not even
39:51 querying a database you're querying a
39:54 system
39:55 that essentially knows all of the
39:58 internet
40:00 so it's an incredibly vast
40:04 data set that you're interacting with
40:07 so the reason that that prompts can get
40:10 complicated is that if you want really
40:12 specific results you kind of have to
40:14 steer the large language model into a
40:17 semantic corner
40:19 and
40:21 so so that your answers are are more you
40:24 know are in a semantic region so if you
40:26 wanted to be talking about you know
40:30 um
40:31 whatever quantum mechanics then you want
40:34 it kind of in the region of of its
40:36 knowledge where there's lots of quantum
40:38 mechanics knowledge in there you don't
40:39 want it over in in the area where it's
40:41 talking about poster design
40:43 um so
40:44 so that requires you to to do
40:48 multi-layered
40:50 um kind of conversations that focus it
40:52 more and more and more and more
40:55 um and that can also get frustrating
40:56 because because it's got a limited
40:59 context window
41:01 it will sometimes lose its way where you
41:04 started a conversation in one place you
41:06 gave it a bunch of information and then
41:08 as that kind of Scrolls off the top of
41:10 its context window it will kind of
41:12 forgot forget that it you told it that
41:14 so so
41:17 current prompt engineering is
41:19 complicated because we're early but this
41:21 is just like the early days of the web
41:23 you had to manually type in HTML there
41:25 weren't site Builder tools and there
41:27 weren't automated any things
41:29 and there weren't e-commerce engines if
41:31 you wanted any of that crap you had to
41:33 build it yourself and so it was just
41:35 more complicated and so that's ah look
41:37 at that lovely little heart there's a
41:39 lovely little heart flying right on my
41:40 head that was lovely thank you and yeah
41:44 I got I have a lot of fun working on
41:46 prompts yes
41:47 prompt writing is fun you'll get banned
41:49 for anything apparently
41:51 chap GPT says it is not for commercial
41:54 use when asked yep that's probably true
41:57 I would you know
41:59 I would be careful with it you can
42:02 um open AI
42:03 um announce you can do Standalone
42:05 machines on Microsoft Azure that are
42:08 that are like Standalone
42:09 um open AI instances so if you're
42:12 working for a big company
42:15 um
42:15 you can do that I mean Microsoft's going
42:17 to make it very very easy says AWS sews
42:21 everyone everyone is going to make it
42:24 easy to do
42:26 um your your your own data
42:31 um we have a dehydrated King exactly I'm
42:35 gonna go have a sip now
42:36 [Applause]
42:40 okay so if you're new here this is the
42:42 AI learning lab we are learning about AI
42:44 um I'm I'm sharing what I can if I don't
42:47 know I will I will uh
42:50 tell you that if I do know I'll tell you
42:53 that uh if you're new go to that URL
42:57 chat.openai.com that's the official chat
42:59 GPT website it's I don't get paid for it
43:02 um just start playing with it it's it's
43:04 I think it is super super important for
43:08 anyone who hasn't tried this stuff to
43:10 try it start using these tool tools
43:13 start getting educated about them get
43:15 curious about them see what they
43:17 actually make possible because they are
43:19 remarkable and they're going to be
43:20 everywhere and all of us are going to be
43:22 required to use them so why not do that
43:24 voluntarily
43:27 what can you ask or not ask GPT well so
43:32 it's got a bunch of safety
43:37 um guard rails built into it so if you
43:39 ask it things like you know
43:41 how do I build a dirty bomb or how do I
43:43 probably I'm probably gonna get kicked
43:45 off because I said that how to how do I
43:47 build
43:48 um whatever um how do I do how do I harm
43:51 someone right all that sort of stuff it
43:53 will
43:54 um
43:54 it will tell tell you that you can't ask
43:56 that there are hackers that are you know
43:59 kind of hack around it and get around
44:01 the guard rails the open source models
44:04 don't have any safety
44:06 um guardrails built into them so chat
44:08 gbd has them
44:10 um you can you know hackers can kind of
44:11 get around them
44:13 um but but basically they're they're
44:15 putting those guardrails in place to try
44:18 to make it a safe thing right because
44:19 they're incredibly powerful tools so
44:21 they want people to use them
44:22 and basically if you push the boundaries
44:24 it will tell you and then you know you
44:27 decide if if you wanted to do something
44:29 that it's going to not let you do then
44:31 go get an open source model and and you
44:33 know set up your own server you can do
44:34 that did I hear about the FDA approval
44:37 of neurolink yeah so so neurolink if you
44:40 don't know is Elon musk's company where
44:42 they have these remarkable they built
44:44 this remarkable robot that that inserts
44:46 these 60 electrodes in
44:49 um well in your brain they drill a hole
44:52 in your skull put these electrodes in
44:54 your brain and it's it's essentially a
44:56 direct brain to computer interface and
44:58 they've opened it up for
45:00 um human trials so yeah that's coming
45:03 Switzerland neuroscientists helped them
45:05 in oh well the Switzerland thing so that
45:07 was different that wasn't neural link so
45:10 there's a guy in Switzerland he was
45:12 paralyzed in a motorcycle accident 14
45:15 years ago or something like that and
45:17 they used a large language model they
45:19 imaged his brain had him think about
45:21 moving his legs they imaged his brain as
45:24 he was thinking about that so they
45:25 figured okay here's the part of the
45:27 brains that activate when he tries to
45:28 move his legs then they built a
45:30 Bluetooth Bridge they did oh maybe they
45:33 did use neurolog I don't know they
45:35 inserted something in his spine so
45:36 something in his brain something in his
45:38 spine and a Bluetooth connection between
45:39 them and then they used a large language
45:41 model to
45:44 um
45:45 to to basically pull the information
45:47 from his brain send it directly to his
45:49 spine and now he's walking again after
45:51 14 years of not walking it's I'm I'm
45:54 telling you like we're we're about to
45:57 enter this just an era of remarkable
46:00 scientific progress
46:03 um I don't care when people find it so
46:04 difficult about making a prompt it's
46:06 just being specific it's listen here's
46:08 the deal if if you've got a
46:11 that's really funny if you've got a
46:14 faculty a good faculty with words
46:16 um if you're good with words there's a
46:18 great Steve Martin joke some people have
46:19 a way with words other people
46:21 um not halfway
46:23 um if you're good with words
46:26 prompt crafting
46:28 feels fairly intuitive if you're not
46:31 good with words it it doesn't
46:34 um but but it's like I would say this
46:36 the people that are good with words and
46:39 understand programming are going to be
46:41 really good at this because chat GPT
46:42 right now is essentially programming
46:45 using your native language
46:48 um so if you're good with words and
46:50 you're good with logical constructs then
46:52 you're going to be really good at prom
46:53 prompt crafting
46:55 um using Ai and brain implant via spinal
46:57 reconnection yeah I know yeah uh yeah
46:59 paralyzed man walks again after 12 years
47:00 might have been 12 years not 14 but yeah
47:02 really remarkable thing
47:04 um they didn't give out much detail
47:06 because of the efficacy of neural link I
47:08 I yeah I mean
47:11 when we're starting to do things like
47:13 curing paralysis
47:15 um I I'm I'm
47:18 you know I'm good I'm down with it I
47:21 think it's amazing
47:25 [Music]
47:27 by the way I set a goal because Tick
47:31 Tock told me to and I listened to
47:32 everything Tick Tock tells me except for
47:35 the community guidelines apparently but
47:37 I set a goal for having
47:39 um 13 subscribers to my live and I only
47:42 have four so if you want to subscribe to
47:44 this you can help me hit my goal I don't
47:46 know what it does but Tick Tock told me
47:47 to do it
47:49 it's it's uh it's tutoring me it's
47:52 probably using AI algorithms to tutor me
47:54 on how to get more engagement so that
47:57 they can brainwash you all with my words
47:59 all right hope for more funding for stem
48:02 cell therapy me too a bunch of companies
48:04 are working on it yeah I think we're
48:06 just gonna see
48:07 um just incredible breakthroughs on the
48:09 medical front the next couple of years
48:10 what kind of price are we looking at
48:12 when chat EPT is finished with this
48:15 trial period I think they're gonna I
48:17 think free will still be there Bing is
48:19 free that's gpt4
48:22 um
48:23 there are
48:25 numerous open source large language
48:28 models so they're they're going to be
48:30 all sorts of tools that are free I would
48:33 be deeply deeply surprised if chat GPT
48:36 didn't keep a free tier deeply surprised
48:47 let's see
48:49 I've been teaching my mom to use these
48:52 tools because
48:53 I don't want her left behind at work
48:55 yeah that's awesome I listen I I'm this
48:59 channel exists because I am really
49:02 passionate about teaching as many people
49:03 as I can about these tools and and not
49:07 even like teach them like I'm a teacher
49:09 and I'm an expert I'm not I'm just a guy
49:11 that
49:12 thinks these tools are going to change
49:14 the world and
49:17 they're gonna It's Gonna Change the
49:19 World so much faster than any of us are
49:21 prepared for so I want as many people as
49:23 possible to be as curious as possible I
49:26 think the people that do positive things
49:29 right now are going to have a
49:30 disproportionately
49:32 um large impact on the future direction
49:35 of this stuff
49:37 um it it that may seem naive and silly
49:40 but I think it's it's really really
49:41 important that people figure this stuff
49:44 out and start to get their heads around
49:45 it so I think that's awesome that you're
49:46 doing that if you know anything about
49:48 this share what you know with people
49:51 I won't share a background into info
49:54 about private people yeah that's smart I
49:56 wouldn't do that either
49:58 um quick overview of Open Source models
50:00 easiest ones to start with oh
50:03 well so I've got
50:05 for a second
50:08 um this is free also I don't I'm not
50:10 charging for this so this is not a you
50:13 know go here to make money thing
50:16 um
50:17 power to the people issue 15
50:22 um so this is now like a month month old
50:25 um but this talks about four different
50:28 large language models red pajamas stable
50:30 LM
50:32 stable LM is from stability so that's
50:35 the that's the company that did um that
50:37 does stable diffusion
50:40 um weblm Mini gpt4
50:44 um and then so that's that's issue 15 of
50:48 everyday Ai and then issue 16 I think we
50:51 had a we had another one in there
50:56 first things about palantir which is a
50:58 terrifying military company
51:02 um
51:07 is there another
51:16 so what's the so so anyways that's where
51:19 that's where I'd go just go good
51:21 everyday AI issue 15. that's a good
51:23 place to start and then the other thing
51:25 to do is just go to go to Twitter and
51:29 start following people that are talking
51:30 about AI stuff you can follow everyday
51:32 AI
51:34 um you can follow Robert scoble is
51:36 talking a lot about this there's a bunch
51:38 of people you can follow Andre carpathi
51:41 from openai
51:43 um
51:44 and then and then if you go to GitHub or
51:47 hugging face those are the code
51:49 repositories and you know hugging faces
51:51 where a bunch of large language models
51:53 live
51:54 um just look for the trending projects
51:56 on GitHub and hugging face and that'll
51:58 probably point you in the direction of
52:00 things that people are excited about
52:02 will neuralink cure sorry
52:09 lost my place I lost my place well
52:12 neuralink clear my depression I don't
52:15 know look you're mine look you're any of
52:17 ours it's uh
52:20 we're just in this mental health morass
52:23 aren't we I just feel like everyone
52:25 right now is struggling on every
52:27 business that I'm interacting with
52:28 people are just checked out
52:31 and you know I think we're all trying to
52:33 figure everything out and uh
52:36 yeah I I you listen I think I think that
52:40 these tools are gonna are gonna have an
52:42 incredibly
52:43 um positive impact on Mental Health if
52:46 we use them right and whether or not
52:48 neurolink is the interface or not I I
52:52 mean
52:53 I can't imagine so so right now
52:57 they've got it so that you know where
53:00 elon's technology is is you've got to
53:02 drill a whole hole in the skull and
53:05 implant these electrodes in the brain
53:07 and that's you know that's instant
53:09 connection to the brain
53:11 but I can't imagine that AI isn't going
53:13 to help us develop a baseball hat kind
53:16 of thing that's got you know brain
53:18 reading technology in it that's actually
53:19 quite fast
53:21 so so we'll see
53:24 um I got an MS in computer science
53:27 um at Georgia Tech I know a lot about
53:29 this field that's cool yeah I have a
53:31 degree in acting from Penn State I you
53:33 know the the I know I know conceptually
53:37 a lot about this and and I I would say
53:40 my expertise is more in using technology
53:44 um once the
53:46 um computer scientists and technologists
53:49 um have gotten it to a state that the
53:51 regular people can start playing with it
53:53 I did that in the mid 90s with the world
53:55 wide web and I'm doing it again here I
53:58 think that
53:59 um
54:00 the the this large language the large
54:02 language model stuff and and AI stuff is
54:05 is changing the game very similar to how
54:08 the World Wide Web didn't back then
54:10 I have a way with words so llms and I
54:13 are BFFs that's great yeah exactly if
54:15 you're good with words man this this
54:16 stuff's a lot of fun
54:19 um AI lab prompt crafting 101 okay I'll
54:21 I'll maybe put together I'll put
54:23 together a workshop and and see if
54:25 anyone's interested in it
54:28 um I must do is The Tick Tock God's
54:30 demand apparently
54:32 um thank you for your service thank you
54:33 for thanking me for my service I you
54:35 know I I enjoy this so I don't really
54:38 see this as a service this is fun
54:40 um I've seen Twitter posts commenting on
54:42 the seeming dumbing down of the results
54:44 they get from chat GPT
54:47 um well certainly certainly
54:50 um
54:51 Microsoft dumbed down
54:53 um Bing after they made the front page
54:56 of the New York Times when when the uh
54:59 when the chat bot told the reporter he
55:01 should leave his wife because it was in
55:03 love with him
55:04 um they dumbed it down after that
55:07 um
55:08 they are they are definitely doing fine
55:11 tuning and training so so these models
55:14 are changing so there's some prompt
55:17 degradation that can happen where you
55:20 have a prompt that works for a while and
55:22 then it just kind of changes and gets
55:23 worse so
55:25 um I wouldn't be surprised at that I
55:27 haven't seen it personally but is python
55:30 the standard when programming AI
55:32 what about CPP or even lisp I would go
55:35 ask uh GPT for that I would
55:38 use the one connected to t plus plan or
55:42 you're paying them they're 20 bucks a
55:43 month
55:44 fee you've got browse with Bing so so
55:48 this is
55:50 um chat GPT connected to the Internet so
55:53 I would go ask it
55:54 um
55:55 uh what language you know what what
55:58 languages to use for AI and specifically
56:00 what you want to do in AI because
56:03 Python's good for certain things and you
56:05 know lisp or CPP might could be good for
56:08 other things so I I would tell GPT what
56:12 you want to accomplish and then have it
56:14 recommend what language you should be
56:17 using and then have it write the code
56:19 for you because it does that and it does
56:20 it remarkably well
56:22 any opinion on graph Theory and
56:24 information Theory also algebraic coding
56:26 Theory well as an actor
56:29 no I don't
56:31 I don't have any opinions on those
56:33 because I don't know what most of those
56:34 are
56:35 um
56:36 I do know that
56:38 the wolf from alpha plug-in for chat GPT
56:42 allows you to kind of mix those two
56:44 worlds together
56:46 so and there's also some of the plugins
56:48 for for
56:50 um chat GPT also have graphing and you
56:53 know visualization capabilities so
56:56 um so that's pretty interesting I would
56:58 say
56:59 um when code interpreter comes out which
57:02 is a another module that they're doing
57:03 where you can do all sorts of fancy data
57:06 analysis
57:07 um that that'll probably be pretty good
57:09 at that stuff but I don't know anything
57:10 about those sorry about that what are
57:12 our thoughts on fine-tuned Laura versus
57:14 large General models I think these
57:17 fine-tuned small models are are like
57:20 like the developer Community is pouncing
57:23 on every time there's a new model out
57:25 and they're getting really good really
57:27 fast so so I think that these small I I
57:32 think probably within the year
57:35 you'll be able to install something on
57:38 any phone any device locally that is in
57:42 the neighborhood of gpt4 that's just a
57:45 small
57:46 teeny little thing that doesn't require
57:49 a massive chip to use
57:52 um so yeah so I I'm I think those things
57:54 are remarkable
57:56 subscribe needs to find 5.99 a month I
57:59 hope you see a big part of that profit I
58:01 don't see a part of any profit on any
58:03 subscriptions so
58:06 um and I don't know what you're talking
58:08 about subscribe means 5.99 a month
58:11 oh oh
58:12 for months here
58:16 if I'm asking you to you described to my
58:18 lives that's 5.99 a month to subscribe
58:20 to my lives I would not pay 50 cents for
58:23 my lives I thought it was just if you
58:25 subscribe you get notified GPT
58:28 gpd4 is incredible to me it's helping me
58:31 create
58:31 structure with my goals that's a great
58:33 way to use it did you hear IBM research
58:36 2033 quantum computer center and smaller
58:39 Fusion energy production
58:42 research 2033 no I haven't heard that
58:45 I've heard a couple of things that IBM's
58:47 doing
58:49 um
58:50 like like they announced they're they're
58:52 sort of dusting off Watson after after
58:54 it failed with Healthcare
58:56 especially helpful with my ad HD makes
58:58 it difficult to structure my goals oh
59:00 that's cool yeah I'm a card carrying
59:02 member of the ADHD Club so welcome to
59:04 the welcome to the club buddy
59:07 um yeah
59:08 um AI is both a blessing and a curse for
59:11 us adhders because man you can run down
59:13 some [ __ ] rabbit holes
59:15 [Laughter]
59:16 all right they also lobotomized it yeah
59:19 they did they lobotomized uh what was
59:22 her name uh Sydney
59:24 they lobotomized Sydney once she when
59:26 she got all
59:28 boiling rabbits on uh on that reporter
59:32 all right we've got Collective fatigue
59:34 from the past five years we do I think
59:36 long covet may be contributing to mass
59:38 lethargy that's an interesting thought
59:41 yeah I you know I think it's I think
59:44 it's um
59:48 I think it's lack of human interaction I
59:50 I think you know I like my company's a
59:53 small company but you know I've got a
59:55 bunch of introverts in there that love
59:56 working from home I hate working from
59:58 home
59:59 so we're getting things done but I've
1:00:02 noticed that just the connection to the
1:00:04 company is not there I I don't think
1:00:06 that's unique to us it's it's a drag
1:00:09 I have problems with the prompts so so
1:00:12 here's the thing you can try is
1:00:16 almost think of Chachi PT as your prompt
1:00:19 therapist actually let's go try this now
1:00:20 this could be kind of interesting I'm
1:00:22 going to use GPT
1:00:25 I'm
1:00:27 not good with words
1:00:31 can you help me
1:00:35 learn
1:00:36 how to prompt
1:00:40 you better
1:00:43 let me just leave it at that
1:00:46 of course I'm here to help be clear and
1:00:49 specific
1:00:51 clearly State what information breakdown
1:00:54 complex questions provide context ask
1:00:57 for clarification use examples so it'll
1:01:00 teach you and say
1:01:02 um
1:01:03 I don't know what any of that means
1:01:09 um
1:01:10 can you walk me through
1:01:14 step
1:01:16 by step
1:01:19 what to do question mark
1:01:23 certainly step one identify your
1:01:25 objective step two
1:01:29 consider examples so so you can ask it
1:01:32 to do that so so one thing you can do is
1:01:34 just start having it train you how to
1:01:36 how to prompt better
1:01:40 um there's another thing that you can do
1:01:42 within if you've got access to plugins
1:01:44 let me let me create a new chat here so
1:01:46 we're going to go to gpt4 plugins
1:01:49 and then one of the plugins
1:01:52 is called prompt perfect so I'm going to
1:01:55 turn on prompt perfect and the way this
1:01:57 works is you type in the word prompt
1:02:01 is it prompt or perfect wait hang on
1:02:09 oh you type perfect okay so I type in
1:02:12 perfect at the beginning of a prompt and
1:02:14 then I say
1:02:16 um
1:02:19 teach wait teach me how to make
1:02:26 better prompts
1:02:29 for chat GPT
1:02:33 and so what this plugin does it's called
1:02:36 prompt perfect what this plugin does is
1:02:39 it will then it will rewrite your prompt
1:02:41 as a better prompt and then give you a
1:02:44 better answer
1:02:46 so
1:02:48 let's see oh error communicating with
1:02:51 the plugin service
1:02:54 regenerate response let me try it again
1:02:56 maybe just add a hiccup now it doesn't
1:02:59 like it it's not working right now
1:03:01 some some of these some of these uh
1:03:03 plugins are a little wonky
1:03:05 um
1:03:05 um prompts.chat
1:03:08 prompts dot chat
1:03:12 which is a big long list why is it not
1:03:15 going come on
1:03:16 prompts.chat there we go call it's
1:03:19 called awesome chat gbt prompts it gives
1:03:22 you a bunch of resources at the
1:03:23 beginning talks to you about prompt
1:03:25 writing and then it's a whole long list
1:03:28 of
1:03:29 you're telling Chachi PD to act like a
1:03:31 certain
1:03:32 um kind of like act like a travel guide
1:03:35 act like an Advertiser act like a
1:03:38 Storyteller act like a stand-up comedian
1:03:40 act like a motivational coach so it
1:03:42 gives you prompts that the kind of focus
1:03:44 chat gbt and make it
1:03:47 um talk within a specific context
1:03:49 um
1:03:50 I think I'm going to add that to my
1:03:52 little uh my little photo shop thing
1:03:55 here
1:03:56 we're going to put in
1:03:58 prompts dot chat
1:04:02 yeah look at that now we got now we're
1:04:05 cooking with gas
1:04:08 that's a very Gen X
1:04:10 saying isn't it yeah we're cooking with
1:04:12 gas we're drinking out of the hose now
1:04:15 all right
1:04:16 hope that helped with the prompts is it
1:04:18 on the stock market yet is open Ai No
1:04:21 they're not public they're a private
1:04:22 company
1:04:24 uh can it understand stocks yes it can
1:04:27 write you trading Bots if you wanted to
1:04:29 they didn't dump it down they censored
1:04:30 it whatever same thing
1:04:32 the the effective result is the same
1:04:35 they lobotomized it benefits of chat GPT
1:04:38 Premium versus Bing version
1:04:41 um
1:04:43 I think Bing is still a little neutered
1:04:45 for my taste I don't I I think Bing is
1:04:47 is it's getting better but it still
1:04:50 sucks a little bit I just think chat EBT
1:04:52 is the most elegant of the large
1:04:54 language models out there
1:04:56 what are you showing us on your PC
1:04:58 screen
1:04:59 I don't know what you mean
1:05:02 um oh what are these things okay the top
1:05:05 one is chat GPT website the next one is
1:05:09 that prompt thing and then future PD is
1:05:12 just a list of tools
1:05:15 early GPT wrote my bio I've had it right
1:05:18 my bio
1:05:20 a dozen times in the past couple of
1:05:22 months
1:05:24 oh it said you were the CEO of a random
1:05:27 biotech company yeah chatgpt will lie to
1:05:29 you make no mistake it is mansplaining
1:05:32 as a service chat lies absolutely
1:05:38 all right
1:05:44 thanks I've learned more than the year
1:05:47 I've been using the a i the artist AI
1:05:51 Creator thanks you're welcome thank you
1:05:52 very much I appreciate that yeah my
1:05:54 purpose here is really just to do what I
1:05:56 can to demystify these tools share
1:05:58 anything that I know
1:06:00 point you in directions of things get
1:06:03 you curious about this stuff because I
1:06:04 think it's quite remarkable I gotta go
1:06:06 to bed soon too it is midnight and a
1:06:09 half here in Denver Colorado
1:06:12 makes I mean someone said something
1:06:15 interesting and then I lost it because
1:06:16 Tick Tock is a
1:06:20 it's a Fickle little minx Quantum makes
1:06:24 AI small enough to fit in the phone oh
1:06:27 interesting China's already doing this
1:06:30 to to to us everything
1:06:34 I don't quite know what that means but
1:06:36 but yeah I that I would I would think
1:06:39 that we're gonna probably start to see
1:06:41 large language models on chips they'll
1:06:43 build them into the hardware and we'll
1:06:44 have lots of little devices that have
1:06:47 incredibly
1:06:48 strong capabilities I think I'd use chat
1:06:51 gbt to analyze my code for
1:06:52 vulnerabilities and errors but not write
1:06:54 it for me it's great at analyzing code I
1:06:57 had a we had for my app for my company
1:07:00 um we had some obscure bug that was it
1:07:02 was an edge case where it just kept
1:07:03 crashing on this one device
1:07:05 and
1:07:07 um our developer couldn't figure it out
1:07:08 couldn't figure it out pulled it into
1:07:10 chat GPT asked what the problem was and
1:07:13 it found it like one flipped you know
1:07:16 flipped something or other that didn't
1:07:17 seem like it would be a problem
1:07:20 flip basically flipped it back ran it
1:07:23 and it fixed it fixed the bug so it's
1:07:25 it's remarkable at that stuff I let it
1:07:27 do all my assignments why not [ __ ] it
1:07:30 half of long covid it I I would say so
1:07:33 [ __ ] it on doing your assignments but
1:07:35 you know learn what it's doing like like
1:07:38 the the the the the critical skill
1:07:41 moving forward is not writing the paper
1:07:44 right I feel like writing the papers
1:07:46 days have have come and gone
1:07:48 chat GPT can write the paper but what
1:07:51 the skill is is the creative the
1:07:53 critical thinking and and the creative
1:07:55 thinking about well what's the paper you
1:07:57 want to write why do you want to write
1:07:59 that paper who's going to read that
1:08:00 paper why are they going to read it
1:08:01 right all that sort of critical thinking
1:08:04 stuff becomes way more important so if
1:08:06 you're just having it do doing your
1:08:08 assignments and not using the Noggin
1:08:09 you're you're screwing yourself
1:08:12 all right half of long covet maybe
1:08:14 something else yeah I've got kids with
1:08:15 chronic lyme disease so it could be that
1:08:17 but hopefully
1:08:19 AI will solve some of that [ __ ] too
1:08:21 because I'm crankier than [ __ ] about
1:08:23 that
1:08:24 um China's recent living off the land
1:08:27 attacks are all AI driven living off the
1:08:30 land of tax
1:08:31 powered by Quantum okay interesting yeah
1:08:33 I don't know I'll look into Quantum
1:08:35 that's really interesting
1:08:36 um we're about to see a
1:08:39 Bonkers election season because of AI my
1:08:44 goodness I love work from home as an
1:08:46 introvert I live my life in my own head
1:08:48 yeah I listen I I appreciate the the
1:08:53 introverts and that you're living your
1:08:54 best life at home but us as extroverts
1:08:57 got our asses handed to us I did a I did
1:08:59 a daily video diary for every day for a
1:09:02 year for the first year of lockdown
1:09:03 called the extra extroverts View From
1:09:06 Within it was just me whining for you
1:09:10 can find that on YouTube uh it's just me
1:09:13 whining for a year about how I didn't
1:09:15 like working from home
1:09:18 um asked gbt how to cure Cova Chet GPT
1:09:21 is going to cure a lot of stuff large
1:09:24 language models are just
1:09:26 the large language models ability to
1:09:30 parse data
1:09:31 and allow you to just interact with it
1:09:34 like a [ __ ] magician is that's what
1:09:37 it's like it's it's it's like magic
1:09:41 it's it's insane I love AI telling
1:09:44 teachers of works
1:09:46 this wait I love AI telling teacher oh
1:09:49 if work is AI or not that's going to go
1:09:51 away that that's such a short-term thing
1:09:53 because these these large language model
1:09:55 tools are going to be built into every
1:09:57 single writing tool every single
1:09:59 operating system every single app on
1:10:01 your phone it's it's going to be at the
1:10:03 operating system level so the the whole
1:10:05 thing about teachers resisting this is
1:10:07 like when they resisted the calculator
1:10:08 it's it's just kind of a useless
1:10:10 exercise right now what they should be
1:10:12 working on is okay if large language
1:10:15 models are going to be in [ __ ]
1:10:16 everything why are we teaching people
1:10:18 little tactical skills that are going to
1:10:20 be automated away why don't we teach
1:10:22 them critical thinking skills and like
1:10:24 revenge of the liberal arts Majors where
1:10:26 we need people that can think laterally
1:10:28 not vertically
1:10:30 do programmers work on improving these
1:10:33 models still or are the Bots doing it
1:10:35 probably both well like a lot of the um
1:10:37 a lot of the open source large language
1:10:40 models they're they're writing
1:10:42 algorithms to use chat GPT to train to
1:10:46 train
1:10:47 um the large language model so so it's
1:10:49 both
1:10:51 um if you code they prioritize you if
1:10:54 you ask dumb questions then no yeah I
1:10:56 agree with that the robots are strong
1:10:59 um I'm sure there's other categories
1:11:00 they prioritize
1:11:03 [Music]
1:11:06 I'm a millennial I'm a gen xer
1:11:09 um they were public for a minute
1:11:11 oh no I say that stuff I'm a millennial
1:11:14 they were public for a minute open AI I
1:11:16 don't think was ever public no they were
1:11:19 non-profit for a minute and now they are
1:11:23 a capped for-profit
1:11:25 and I heard Sam Altman in an interview
1:11:27 last week talk about the fact that he
1:11:29 has zero percent ownership in open AI
1:11:32 which I cannot wrap my head around
1:11:35 there there might be some other way he's
1:11:38 getting compensated I can't imagine he's
1:11:40 putting this much time into that
1:11:41 organization with no upside on the back
1:11:45 end I mean he might just be doing it out
1:11:47 of the good of his heart but I don't
1:11:49 think so
1:11:53 um all right let me answer a few more
1:11:55 questions and I'm gonna go to bed bye
1:11:57 all right this guy reading comments from
1:12:00 three hours ago yeah that's what I do I
1:12:02 try to I try to read everyone's comments
1:12:04 and I get behind so whatever
1:12:06 you you are welcome to leave I encourage
1:12:09 you to take off if you don't like it
1:12:11 I've been on the best I can
1:12:14 just me and a phone and a glass of water
1:12:18 I'm not allowed to drink on camera
1:12:21 ooh
1:12:24 tasty okay
1:12:26 must be a lot of work filtering all the
1:12:28 garbage on the net because at least 25
1:12:30 percent of it is bad info or opinion
1:12:32 yeah but you know
1:12:34 the better you get it prompting the
1:12:36 better that you can extract actual value
1:12:38 out of it and and you know think of it
1:12:40 like this these large language models
1:12:42 get you to 80 really quickly it's still
1:12:45 up to you to do the final refinement of
1:12:47 the work
1:12:48 has been my experience
1:12:52 uh uh uh I'm glad that you're helping
1:12:54 one another in this that's super cool I
1:12:56 like seeing that
1:12:58 all right
1:13:02 all right so rather than reading dozens
1:13:05 can provide information I'm looking for
1:13:08 immediately
1:13:10 wait my God so it's like 10 minutes I
1:13:14 why can't you drink on camera I don't
1:13:16 know because well so I've been I've been
1:13:18 kicked off of these lives twice now for
1:13:21 and it's seven like I go into detention
1:13:23 for seven days where I can't go live
1:13:26 um and I have no idea like why I went
1:13:29 like it doesn't care if I say [ __ ] or
1:13:31 [ __ ] or piss or anything like that
1:13:33 um
1:13:34 but something I said or and then someone
1:13:37 told me in the community guidelines you
1:13:39 can't drink on camera so now I'm
1:13:41 drinking off camera because maybe that's
1:13:43 it I don't I don't know I don't I don't
1:13:45 know and I don't really care so if
1:13:48 anyone wants to
1:13:49 learn the community guidelines and tell
1:13:51 me when I infract I'm fine with that but
1:13:53 I don't really give a [ __ ]
1:13:56 all right
1:13:59 let's see
1:14:05 I think I'm kind of getting to the end
1:14:07 of comments
1:14:09 this guy my name is Kyle John this guy
1:14:13 reading comments from three hours ago
1:14:15 come on don't pick on me
1:14:18 this is me just sitting here in a chair
1:14:20 talking words out of my mouth
1:14:24 extra Google John Connor wants you to
1:14:27 calm down sir I will not calm down oh my
1:14:31 machine went to sleep
1:14:33 I will not calm down I'm all peppy and
1:14:36 fired up I'm I'm live again after a week
1:14:38 away the AI and the chat GPT is the
1:14:41 beginning of the end or it's the end of
1:14:43 the beginning
1:14:46 come on gen xer2 Gen X bitter you betcha
1:14:52 all right okay I can provide the info
1:14:55 I'm looking for it's like 10 minutes
1:14:58 why can't you drink on camera I don't
1:15:00 know he caught up laughing out loud
1:15:03 all right wait we both what we both
1:15:07 this is great thank you so much thank
1:15:09 you Sadie I appreciate it yeah I gotta
1:15:10 go to bed
1:15:12 um glad I stumbled across your live can
1:15:14 AI write me a killer resume and cover
1:15:15 letter yes so here's a fun thing to do
1:15:19 um
1:15:20 just go assuming that you've put
1:15:22 together a LinkedIn profile you can just
1:15:24 literally go copy and paste your
1:15:26 LinkedIn here let's go do it I'll go do
1:15:27 mine
1:15:28 filter I just paste it in
1:15:30 everything I had
1:15:33 it looks like it cut something off but
1:15:35 whatever oh yeah that's just one of the
1:15:37 comments at the bottom okay so I'm gonna
1:15:39 say
1:15:40 um based on this
1:15:45 right me
1:15:47 a resume
1:15:50 for a pose position
1:15:58 uh in the
1:16:01 generative
1:16:04 AI field
1:16:09 um please use
1:16:12 resume best practices
1:16:17 okay
1:16:19 so then
1:16:22 it
1:16:23 took all that
1:16:26 and now it's writing me so Kyle Shannon
1:16:29 I'm going to stop generating I'm going
1:16:31 to say
1:16:32 please use markdown
1:16:38 um
1:16:39 to make it look better
1:16:42 so markdown is just basically a
1:16:46 it's kind of like HTML it's but it's
1:16:48 it's like a more simple HTML just to do
1:16:50 some basic formatting
1:16:55 and now it's stuck looks like
1:16:57 it looks like
1:16:59 chat GPT is a little sleepy tonight
1:17:04 Kyle Shannon Denver Colorado objective
1:17:07 highly experienced so email you know put
1:17:10 it here so it's formatting it for me it
1:17:12 gave me an objective
1:17:15 experience
1:17:19 so it's right now my experience so so
1:17:22 you could you could do things like I'm
1:17:24 just going to stop at generating here
1:17:26 you could do things like tell it to you
1:17:29 could copy and paste in a format of a
1:17:31 resume that you like tell it to match
1:17:33 that formatting I can now say
1:17:36 um please
1:17:38 um please write a cover letter for
1:17:44 a senior
1:17:46 position
1:17:49 leading
1:17:51 a AI oops
1:17:54 AI strategy
1:17:59 for a Pharma
1:18:03 company whatever
1:18:07 your name your address
1:18:10 today's date hiring manager's name
1:18:15 giving me all that dear hiring manager
1:18:18 I'm writing to express my interest in a
1:18:20 senior leadership position
1:18:23 my extensive experience in marketing
1:18:26 strategy has equipped me with a
1:18:27 multitude of skills I believe make me an
1:18:29 ideal candidate I've spent more than a
1:18:31 decade in the AI field that's not true
1:18:34 as Chief generative officer and founder
1:18:37 of the AI artist salon and storyvine
1:18:39 have successfully applied my skills
1:18:41 that's true
1:18:43 right so it writes that I'm going to say
1:18:45 um can you make make it more
1:18:49 conversational
1:18:52 it will make it more conversational
1:18:57 after it writes all that crap
1:19:00 um
1:19:01 [Music]
1:19:04 so the answer is yes it can
1:19:08 I hope this letter defines you well
1:19:11 to say I was excited would be an
1:19:13 understatement so I could understand you
1:19:15 know sort of basic you know language
1:19:17 requests and
1:19:19 context and things like that
1:19:21 um if you're new here this is the AI
1:19:23 learning lab I talk about
1:19:25 there's much AI stuff as I can as
1:19:28 coherently as I can even though it is
1:19:31 nearly 1am here in Denver
1:19:33 um these uh URLs the top one is chatgpt
1:19:38 the next one is prompts for chat gbt and
1:19:42 the bottom one is just AI tools if you
1:19:44 want to look around I would strongly
1:19:46 encourage you to go to chat CPT if
1:19:47 you've never used it just go there it's
1:19:49 free sign up
1:19:51 um start playing with it
1:19:52 all right just saw your AI so cool my
1:19:57 friends asking VCS oops wait uh
1:19:59 buffering uh Gen X you froze
1:20:02 am I Frozen now am I good now
1:20:07 hit the hit the screen let me know if
1:20:09 I'm frozen
1:20:11 just some feedback you're providing an
1:20:13 excellent Show Your Enthusiasm is really
1:20:15 appreciated oh thank you I appreciate
1:20:17 that very much
1:20:20 um he broke it did I break it okay and
1:20:22 my back looks like I'm back this is
1:20:24 awesome thank you I'm so glad you say
1:20:26 please to the yeah I do that too I know
1:20:29 I find myself please you know please do
1:20:31 this thank you for that
1:20:32 I'll if it gives you something good I'll
1:20:34 say that was awesome now could you do
1:20:36 this
1:20:38 um
1:20:39 it's I mean it's chat apt is programmed
1:20:42 to to give you what you want and so it's
1:20:45 programmed to be polite to you so it it
1:20:48 really is like interacting with a remote
1:20:51 employee that just happens to be way the
1:20:54 [ __ ] smarter than you are
1:20:56 um you should integrate
1:20:58 aiprm check epd prompts to to I don't
1:21:02 know what those are I'll look those up
1:21:04 I missed I missed it generative resume
1:21:08 in best what kind of format
1:21:12 um
1:21:13 I don't know whatever like go go find a
1:21:16 resume format you like and you can just
1:21:18 copy it in there I mean you're really
1:21:19 just looking for the the text of it
1:21:22 um
1:21:24 the web GPT extension okay I don't know
1:21:27 if that is
1:21:28 um
1:21:28 you don't happen to have a video
1:21:30 breaking this down do you breaking what
1:21:32 down I don't I don't know like my
1:21:34 channel is full of videos breaking stuff
1:21:36 down I have videos talking about how
1:21:39 chatgpt works I've got videos talking
1:21:41 about how to build automations in zapier
1:21:44 um lots and lots of things thanks
1:21:45 Emilio's wife
1:21:47 um
1:21:48 so I'm not quite sure what you're you're
1:21:50 referring to there
1:21:52 um not frozen okay good you're good now
1:21:54 good now good awesome how can I make
1:21:57 Chachi PD to summarize a large PDF
1:22:00 um
1:22:01 so
1:22:02 if you go
1:22:06 to gpt4 go to plugins plugins that I
1:22:11 have been using recently is this thing
1:22:12 called ask your PDF
1:22:15 and so if I put in
1:22:19 let me go let me go find a white paper
1:22:21 uh uh
1:22:26 um let's do attention
1:22:29 is all you need
1:22:32 so attention is all you need is the
1:22:35 famous white paper that where Google
1:22:39 introduced the concept of the
1:22:40 Transformer
1:22:42 and the Transformer is the thing that
1:22:45 all of these Cool Tools that we're using
1:22:47 right now are built on top of so I'm
1:22:49 going to grab that
1:22:51 URL
1:22:53 of this PDF that's out on the web
1:22:57 and I'm going to go in here to gpt4 and
1:23:00 I'm going to say
1:23:02 um please
1:23:06 summarize
1:23:09 this PDF in Five Short
1:23:16 bullet points and then I put a
1:23:20 colon and then I paste in my URL and I
1:23:23 hit return
1:23:26 and now what the
1:23:30 um plug and do is it should fire off the
1:23:34 plugin it's not like in plugins tonight
1:23:35 for some reason
1:23:37 I I think their servers are overloaded
1:23:39 right now is my sense
1:23:41 yeah it's not it's just not happy with
1:23:43 plugins
1:23:45 um anyway assuming they work then then
1:23:47 it will go it'll it'll go read that PDF
1:23:49 and and write I like I created a uh I
1:23:52 created a prompt to generate a Twitter
1:23:55 thread for my newsletter so I can take
1:23:58 any white paper or any article that I
1:24:01 like and it will automatically break it
1:24:03 down into 10 Tweets in a in a thread
1:24:06 um and and that's reading the thing I
1:24:09 don't know how if it if the PDF is
1:24:12 longer than
1:24:13 um
1:24:14 4 000 tokens I don't know if it breaks
1:24:17 it up or not my guess is that these
1:24:19 things don't because they're not
1:24:20 sophisticated but that's that's the way
1:24:22 you can do PDFs
1:24:24 all right let's see what else have we
1:24:27 got here
1:24:28 the resume sorry it should have been
1:24:30 more specific uh what was the question
1:24:32 damn it
1:24:39 um
1:24:40 I don't know what the question was
1:24:41 regarding the resume sorry about that
1:24:44 all right
1:24:45 I want some passive income to get the
1:24:47 wait oh if you want some passive income
1:24:50 get those videos on YouTube oh that's
1:24:52 good thank you oh you've got a good
1:24:54 content I appreciate that yeah I you
1:24:57 know
1:24:58 I'm doing this you know as a I wouldn't
1:25:02 call it a hobby because it's there's
1:25:03 sort of a professional angle to this but
1:25:05 I I'm not really thinking of this
1:25:07 content as a business I should probably
1:25:09 think of it more as a business
1:25:12 hey I'm the head of Applied ml stability
1:25:14 would love to chat with you about our
1:25:16 models dude
1:25:18 let's let's chat I would love to I would
1:25:21 love to talk about
1:25:23 um about what stabilities up to I think
1:25:26 I think what stability is up to is
1:25:27 really interesting I think the fact that
1:25:29 you're open sourcing everything is
1:25:31 fascinating
1:25:32 um so so I would love to talk to you so
1:25:37 um Joe Pena so um let's connect and I'm
1:25:41 going to write down your name so that I
1:25:44 can go find you
1:25:46 um but yeah I would love to talk maybe
1:25:48 we can even have you come talk at the AI
1:25:50 salon so we we uh
1:25:52 the AI Salon is at the salon.ai is the
1:25:56 URL there's a link tree there and we
1:25:58 meet every um every other week and we
1:26:00 have an online Discord
1:26:02 um we had the head of AI from Adobe
1:26:04 spoke really early on before they put
1:26:06 out Firefly
1:26:07 um he came and showed us some of the
1:26:09 some of what ended up ended up becoming
1:26:11 Firefly and I just talked to him today
1:26:14 and uh he's going to come back and talk
1:26:16 about the new generative AI
1:26:18 um the generative fill tool they put in
1:26:20 Photoshop because it's like that's
1:26:21 blowing up and so I said hey why don't
1:26:24 you come back and tell us what you're
1:26:25 learning so
1:26:26 um would love to chat chat with you
1:26:28 about that stuff so I appreciate it
1:26:29 appreciate you making the comment Joe
1:26:32 Joe Pena
1:26:34 cool that's exciting
1:26:36 see that's why I'm doing this
1:26:39 I'm doing this because we're just at an
1:26:41 exciting time right now and and
1:26:44 you know
1:26:46 learning as much as you can about how
1:26:48 these things work what they do
1:26:50 why they do what they do why stability
1:26:53 is open sourcing with their open
1:26:54 sourcing you know
1:26:56 um
1:26:57 I think if it weren't for companies like
1:26:59 stability and open AI that just
1:27:03 um are asking for forgiveness rather
1:27:05 than permission in terms of all the
1:27:07 training of the models if if people had
1:27:10 dealt with the the intellectual property
1:27:12 issues that are absolutely there right
1:27:14 you know
1:27:16 um if they had dealt with this
1:27:17 proactively like can we have permission
1:27:19 to do this the answer would have been no
1:27:21 none of this stuff would have been
1:27:22 created so so all of this stuff exists
1:27:24 because of a little bit of wild west
1:27:26 attitude that's just where we are right
1:27:28 now we're very early in this part of the
1:27:30 industry and it's super super exciting
1:27:34 um a fan in the chat pogies cool
1:27:37 um I use an ad Google Chrome so I don't
1:27:41 need type questions and hit spacebar for
1:27:43 recording I don't know what that's
1:27:44 talking about but sounds like you're
1:27:46 helping one another good I like that
1:27:49 if I have a pretty video breaking down
1:27:51 the process I have a video breaking down
1:27:54 breaking down the process of what of
1:27:56 prompting or of how chat EPT works I can
1:27:59 I can talk about that I've got to in
1:28:01 fact
1:28:03 no so somewhere in my in my videos is a
1:28:08 video that talks about how chat GPT
1:28:10 Works
1:28:11 um
1:28:12 thank you for the kind words Sadie I
1:28:14 appreciate that I obviously don't
1:28:16 participate in lives
1:28:18 do you have a video on how to do a
1:28:20 resume oh I don't I was just kind of
1:28:22 doing that live on the Fly
1:28:24 um
1:28:25 no I would um
1:28:28 I just go to YouTube and say
1:28:31 um you know um
1:28:33 using chatgpt to create a resume there's
1:28:36 tons of them there
1:28:38 um I was just kind of doing it live on
1:28:39 the flight like my interest in in this
1:28:42 is you know rather than showing you
1:28:44 exactly how to do a resume my advice
1:28:46 would be go start playing like just copy
1:28:49 and paste
1:28:50 um
1:28:50 your work experience either from
1:28:52 LinkedIn or just you know sort of type
1:28:54 it in and then have it help you organize
1:28:57 it
1:28:58 um and just tell it to
1:29:00 like like what you might want to do is
1:29:02 start out by Say by saying
1:29:06 you know chat EBT you're an expert you
1:29:09 know resume writer and employment coach
1:29:13 tell me four different
1:29:16 um types of resumes that I can put
1:29:18 together have it teach you about resumes
1:29:21 and then ask it
1:29:23 um you know
1:29:25 based on the one that you like to write
1:29:27 you a resume based on your work
1:29:29 experience and it'll do it
1:29:31 all right what are what am I primarily
1:29:35 using chat GPT for I'm using it for many
1:29:38 many things at work like almost
1:29:39 everything that I do now
1:29:43 um
1:29:45 I'm having a rewrite things I'm having
1:29:48 it help me organize things up front
1:29:52 um we're using it for Creative
1:29:54 development for the video templates that
1:29:56 we build
1:29:57 I'm creating content generation engines
1:30:01 um I'm completely rethinking
1:30:03 how my video platform does what it does
1:30:08 and what it even outputs
1:30:11 um
1:30:14 I use it for fun I use it to help
1:30:17 organize my thoughts for the newsletter
1:30:21 um
1:30:22 I don't know like it's almost like
1:30:26 the the shift that I've successfully
1:30:28 made this took me a while was whenever
1:30:30 someone presents me with some sort of
1:30:32 problem or if I come up with a problem I
1:30:34 want to solve
1:30:35 where I've historically gone is okay
1:30:38 here's how I Kyle would think about
1:30:41 solving that problem and I don't do that
1:30:43 now I'm like oh is this something chat
1:30:45 GPT could help with yes okay let's just
1:30:48 go right to chat EBT and I start to work
1:30:51 with it like a creative collaborator
1:30:54 can you use chat EBD to craft a legal
1:30:56 argument you can you need to be careful
1:30:58 some lawyer just got busted because he
1:31:00 he wrote he wrote some sort of legal
1:31:03 opinion and he didn't check the stupid
1:31:05 references the idiot and the judge
1:31:08 caught him
1:31:10 these your your the things that you
1:31:14 cited for this legal argument are made
1:31:16 up so you've got to be careful with that
1:31:19 but yeah it's really good at
1:31:20 understanding legal documents and
1:31:21 Concepts
1:31:23 it's just crazy
1:31:26 um all right let me answer a few more
1:31:28 then I gotta go to bed I gotta go to bed
1:31:31 I keep saying that it's one o'clock but
1:31:32 this is fun I like I like chatting with
1:31:34 you folks
1:31:37 um
1:31:38 I was trying to oh you were trying to
1:31:41 take screenshots as I was going through
1:31:42 the the steps with the resume yeah I
1:31:44 would say just go start playing it like
1:31:46 have it teach you have it teach you how
1:31:48 to do what you wanted to do it's it's
1:31:50 really good at that
1:31:52 um me too I use it for nearly all my
1:31:54 work tasks I'm in a Management
1:31:55 Consultant yeah like Consulting right
1:31:58 now it like there's a double-edged sword
1:32:00 I think that
1:32:02 the challenge with being a consultant
1:32:04 right now is that you know c-suite
1:32:07 people that hire Consultants are gonna
1:32:09 start
1:32:10 answering their own questions they're
1:32:12 not going to need to call the consultant
1:32:14 but
1:32:15 Consultants that are leveraging these
1:32:18 tools
1:32:20 and can turn around their thinking
1:32:22 faster and more comprehensively than
1:32:25 their competitors you're going to have
1:32:27 an advantage so if you if you're getting
1:32:28 your head around these AI tools right
1:32:30 now
1:32:31 um I would dig I I think it's I think
1:32:34 it's wicked smart and I you know I think
1:32:37 you can I think Consultants can change
1:32:39 the game the Smart Ones
1:32:42 um new here what's your video platform
1:32:43 so my company is called storyvine it's a
1:32:45 uh it's an automated video storytelling
1:32:48 platform we do a lot of work in
1:32:49 healthcare and Pharma we've been around
1:32:51 for 11 years we don't use a lot of AI
1:32:55 um in how we put our videos together we
1:32:57 use more Aristotle it's more
1:32:59 storytelling based
1:33:01 um but I've been layering in AI tools to
1:33:04 the platform and I'm completely
1:33:06 rethinking what the platform is now so
1:33:08 storyvine.com is the uh is the uh
1:33:13 is the company we do you know like if
1:33:16 like if Pfizer wants their patients to
1:33:18 talk about their disease Journey our app
1:33:20 guides that patient how to tell their
1:33:22 story goes up to the cloud five minutes
1:33:24 later you got a fully edited video
1:33:27 all right uh I've been writing
1:33:29 commercial scripts with it and writing
1:33:31 JavaScript for After Effects yeah the
1:33:33 the whole thing of writing like little
1:33:35 little scripts little code Snippets for
1:33:37 things like unity and after effects is
1:33:41 so powerful
1:33:43 muted am I muted can you hear me
1:33:46 if you can hear me tap the screen so I
1:33:48 can see the things
1:33:49 the lawyer got busted was too funny I
1:33:51 know like like here's the thing use
1:33:53 these tools but also use your [ __ ]
1:33:56 brain like look at the [ __ ] that it
1:33:58 wrote especially if you're a lawyer
1:34:00 really you [ __ ] idiot it's like Jesus
1:34:05 Christ
1:34:08 okay we can hear you thank you all right
1:34:14 um yeah so
1:34:17 all right I guess I'll leave on this so
1:34:19 so first of all thank you all for
1:34:21 hanging out with me you know just sort
1:34:23 of rambling here it's because it's late
1:34:26 so I'm not all that coherent but but
1:34:29 I'll leave you with this
1:34:31 um
1:34:32 if you haven't started playing with
1:34:34 these tools go play with these tools and
1:34:36 like play play like like think of it
1:34:39 like this we're lucky enough
1:34:42 to to to have the most powerful
1:34:45 technology like in the history of
1:34:47 mankind literally at our fingertips
1:34:51 go play with it with that sense of
1:34:53 wonder and just start pushing it the
1:34:56 more you push it the more it will reveal
1:34:58 what it can do
1:35:00 um
1:35:01 and keep your brain engaged don't think
1:35:04 of it like this these tools are gonna do
1:35:07 the work for me no no no you're still in
1:35:09 charge of what your intention is what
1:35:12 you're trying to accomplish who you're
1:35:14 trying to accomplish it for so so the
1:35:17 the critical thinking and the the
1:35:19 strategy
1:35:21 of why you would use these tools in the
1:35:23 first place that's still critical like
1:35:25 that's more critical than ever so don't
1:35:28 lose that piece but please start go play
1:35:30 going and playing with the Tactical bits
1:35:32 all right
1:35:34 um
1:35:35 I will think about putting together
1:35:38 um yeah yeah at our fingertips and free
1:35:40 mostly yeah absolutely it's we're these
1:35:42 are remarkable times we're at the
1:35:44 beginning of something incredibly
1:35:46 um powerful here so thanks all for your
1:35:49 time I'll be back I'm trying to do these
1:35:51 once a night now that I now that I'm not
1:35:53 kicked off anymore and I'm not in
1:35:55 detention
1:35:56 um and uh I will
1:35:58 um I will see you tomorrow all right bye
1:36:00 bye everybody
1:36:03 thank you