AI Learning Lab

aiLL 7/2/23 - How Anyone Can Get Started with ChatGPT and Generative AI Today

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Video2023-09-171:25:4216 views

Description

I hosted an energetic live session on my TikTok channel (AI Learning Lab) on July 2, 2023 where I shared my thoughts on how anyone can start using and benefiting from chatGPT and other generative AI tools available today. In this wide-ranging, passionate conversation, I covered why this technology is so important and profound, how to actually start using the various free and paid tools out there, creative and practical real world examples of putting these tools to work, and why now is the time for people to get familiar with generative AI. I'm on a mission to get everyone using this transformative technology in their lives and businesses. AI Learning Lab address: https://tiktok.com/@aiLearningLab #chatgpt #generativeai #aitools 0:36 - Why generative AI is so important and profound 0:49 - Examples of using ChatGPT for fun and creativity 1:26 - Comparing the early days of the web to the current state of generative AI 2:12 - Being an early pioneer in the web space in the 90s 2:30 - Founding one of the first digital agencies in the 90s 3:05 - Using generative AI to transform an 11 year old company 3:16 - Incorporating AI into current product roadmap and strategy 4:09 - Effective ways for anyone to get started with ChatGPT today 6:04 - Ideas for starting an AI-powered business or service 8:15 - Leveraging proprietary data with generative AI 8:56 - Evaluating if ChatGPT is worth paying for 15:01 - ChatGPT's limitations with memory and context 18:03 - How ChatGPT is trained on massive datasets 20:12 - Becoming the AI expert and evangelist within your company 21:14 - Why current ChatGPT plugins are still lacking 24:26 - Troubleshooting real world problems with ChatGPT 26:11 - Explaining how the OpenAI Playground works 30:21 - How to be an effective "prompt engineer" 35:02 - The future potential of personal AI assistants 36:13 - Practical examples of how I'm using ChatGPT and generative AI 39:07 - Automating video storytelling workflows with AI 40:22 - Teaching ChatGPT to act as different personas 44:11 - Using ChatGPT for building maintenance and troubleshooting 46:52 - Open source options for running AI models locally 48:10 - Microsoft and Google releasing AI certificate programs 50:04 - Cities like Boston releasing AI ethics guidelines 51:08 - Using ChatGPT for real estate use cases 53:24 - No one is yet an expert in generative AI 54:02 - Becoming your company's AI evangelist and expert 59:30 - ChatGPT's challenges with constraints like word counts 1:00:06 - Providing examples to improve ChatGPT's output 1:04:03 - Adapting your unique skills and talents with generative AI 1:05:10 - Making AI your default starting point for problem solving 1:07:27 - ChatGPT's tendency to "hallucinate" incorrect information 1:08:14 - User reviews of current travel plugins 1:09:58 - Jobs that will be transformed rather than eliminated by AI 1:10:11 - Leveraging generative AI for tactical and non-knowledge roles 1:13:23 - AI's potential impact on building maintenance workflows 1:14:32 - New AI capabilities like Codex for analytics and reporting 1:15:01 - The limitations of AI for tasks like image enhancement 1:20:26 - Understanding the psychology of prompt engineering 1:21:32 - Becoming your workplace's AI advisor and mentor 1:22:02 - Available free options like GPT 3.5 and Bing Chat

Chapters

0:00<Untitled Chapter 1>0:36Why generative AI is so important and profound0:49Examples of using ChatGPT for fun and creativity1:26Comparing the early days of the web to the current state of generative AI2:12Being an early pioneer in the web space in the 90s2:30Founding one of the first digital agencies in the 90s3:05Using generative AI to transform an 11 year old company3:16Incorporating AI into current product roadmap and strategy4:09Effective ways for anyone to get started with ChatGPT today6:04Ideas for starting an AI-powered business or service8:15Leveraging proprietary data with generative AI8:56Evaluating if ChatGPT is worth paying for15:01ChatGPT's limitations with memory and context18:03How ChatGPT is trained on massive datasets20:12Becoming the AI expert and evangelist within your company21:14Why current ChatGPT plugins are still lacking24:26Troubleshooting real world problems with ChatGPT26:11Explaining how the OpenAI Playground works30:21How to be an effective "prompt engineer"35:02The future potential of personal AI assistants36:13Practical examples of how I'm using ChatGPT and generative AI39:07Automating video storytelling workflows with AI40:22Teaching ChatGPT to act as different personas44:11Using ChatGPT for building maintenance and troubleshooting46:52Open source options for running AI models locally48:10Microsoft and Google releasing AI certificate programs50:04Cities like Boston releasing AI ethics guidelines51:08Using ChatGPT for real estate use cases53:24No one is yet an expert in generative AI54:02Becoming your company's AI evangelist and expert59:30ChatGPT's challenges with constraints like word counts1:00:06Providing examples to improve ChatGPT's output1:04:03Adapting your unique skills and talents with generative AI1:05:10Making AI your default starting point for problem solving1:07:27ChatGPT's tendency to "hallucinate" incorrect information1:08:14User reviews of current travel plugins1:09:58Jobs that will be transformed rather than eliminated by AI1:10:11Leveraging generative AI for tactical and non-knowledge roles1:13:23AI's potential impact on building maintenance workflows1:14:32New AI capabilities like Codex for analytics and reporting1:15:01The limitations of AI for tasks like image enhancement1:20:26Understanding the psychology of prompt engineering1:21:32Becoming your workplace's AI advisor and mentor1:22:02Available free options like GPT 3.5 and Bing Chat

Transcript

0:06 foreign
0:22 welcome to the AI learning lab just
0:24 getting started here tonight it's Sunday
0:27 night what's up jayword how you doing
0:31 Todd Tina
0:33 welcome everybody my name is Kyle
0:34 Shannon this is the AI learning lab
0:37 we like to talk about AI stuff here
0:40 can ask anything you want
0:43 someone asked me about asparagus once
0:45 what's my position on asparagus
0:47 I gave it to him I'm not afraid to go
0:50 out on a limb and talk about a stock
0:52 [Laughter]
0:56 Sunday Troy what's happening
0:59 Daniel good day good day good day
1:02 um let me go close the door I'll be
1:04 right back
1:14 welcome to the AI learning lab my name
1:17 is Kyle Shannon
1:20 um
1:21 a little bit about background on me
1:23 while we're waiting for people to come
1:24 in do me a favor uh feel free to share
1:27 the live or hit the the like screen do
1:30 stuff like that just to let people know
1:31 we're going live and
1:34 um
1:35 what was I gonna say oh just a little
1:37 bit about my background so I'm an
1:38 entrepreneur of many many years I've
1:41 started 12 or 15 companies my current
1:44 company is a an automated video
1:46 storytelling platform called storyvine
1:48 uh we've been been around for 11 years
1:51 we do a lot of work in healthcare and
1:53 Pharma and I'm now starting to roll
1:57 AI deeply into the strategy value
2:00 proposition and product roadmap
2:02 of my 11 year old company which which
2:05 didn't have much AI in it before had a
2:06 lot of Aristotle in it but not a lot of
2:08 AI That's changing
2:12 I was also a uh one of the the
2:15 co-founders of one of the early
2:18 digital agencies in the mid 90s when the
2:21 World Wide Web first came out I started
2:23 a company called agency.com which ended
2:25 up being a
2:27 being one of the you know the early
2:28 innovators in the web space uh building
2:31 websites for a lot of the fortune 500.
2:33 and why this channel exists and what I'm
2:37 really talking about here like the
2:38 parallels between the early days of the
2:40 web and the early days of this
2:41 generative AI stuff are insane
2:44 um but this AI stuff is significantly
2:47 more profound in my opinion and it's
2:48 happening a lot faster so uh that's why
2:51 this exists I'm just here to talk and so
2:53 if you've got questions
2:55 uh World Wide Web was started in 1989 by
2:59 Tim Tim berners-lee yeah it was it was
3:02 um but the mid 90s is where it sort of
3:06 began to take off and and what I'm
3:08 talking about is the uh like the 94-95
3:11 in in New York City uh it was called
3:14 silicon alley in fact
3:17 a Jason kalkanus
3:19 was the wait can you see it silicon
3:22 alley reporter that that's me
3:25 um
3:26 it was a
3:29 that was the era that I was in yeah he
3:31 invented it then and then it took from
3:32 when he invented it until when it got to
3:35 100 million people was six years
3:38 so as transformative as the web stuff
3:40 was it took six years to get to 100
3:42 million users chechi PT got to 100
3:44 million users in six weeks so so pretty
3:47 insane stuff going on anyway
3:50 um yeah I didn't claim to invent the web
3:52 when I discovered it not meaning I
3:55 invented it Tim berners-lee invented it
3:57 when I discovered what he invented
4:00 that's when I had a big Epiphany and so
4:02 I've had a similar Epiphany about uh
4:04 this generative AI stuff so so that's
4:06 what this channel is about so uh pop any
4:08 questions you have down below do my best
4:10 to answer them and we'll I don't know
4:13 spend Sunday night together happy Sunday
4:15 night everybody oh by the way the URLs
4:18 behind my head why do I have your you
4:19 URLs behind my head so the top three
4:22 here if you've not used uh generative AI
4:25 or if you've not used chat GPT that's
4:28 the URL chat.openai.com that's the
4:30 official website for chat GPT so if you
4:32 haven't used it go there right now while
4:34 you listen to me ramble bing.com is also
4:37 chat GPT you click on the chat button
4:39 there and that's gpt4 connected to the
4:42 internet and it's free if you want gpt4
4:44 up here you got to pay 20 bucks a month
4:46 for it if you want it here you get it
4:48 for free
4:49 I think it's worth paying the 20 bucks
4:50 there because you get plug-ins and it's
4:52 better and a lot of reasons but you
4:54 don't have to you can also use GPT 3.5
4:57 there for free and it's really good too
4:59 and then poe.com gives you access to
5:02 three models from anthropic two models
5:04 from open Ai and one model from quora or
5:07 for from Poe so that's those things so
5:10 go play with those just start with the
5:12 top one if you haven't done any of this
5:13 and then this prompts.chat that's a
5:16 document that is
5:18 um that'll teach you about prompting and
5:20 what it is and how to use it and and the
5:22 it's a big long list of personas that
5:25 you can give to chat GPT
5:27 um so that's what that's all about so
5:28 anyway
5:30 um and then futurepedia.io is a big
5:32 directory of AI tools there's like 3 700
5:35 of them in there at this point most of
5:37 them are crap but that's what that is so
5:40 anyway
5:41 um pop questions below we'll have a
5:43 conversation we'll kick some things
5:45 around I'll probably cuss a little so if
5:47 you don't like that
5:48 don't don't stay
5:51 um what AI business would be a good
5:53 business to start
5:55 um
5:56 it's a good question I you know I think
5:59 right now for the next year or two
6:01 everyone's going to be trying to figure
6:02 this out so if you get your head around
6:05 Ai and can
6:07 help people figure it out for their
6:10 business I think I think Consulting
6:11 around AI is going to be a thing for a
6:13 while
6:14 um so so that could look like starting
6:17 an agency
6:19 um I think starting an agency that
6:20 disrupts the current agency model
6:23 um would be a good one because these
6:24 generative tools are
6:26 generative and fast and good
6:30 and if you took a six to ten person
6:33 agency that was all in on AI I think you
6:37 could go take on 40 to 50 person
6:40 agencies
6:42 and and consistently deliver faster
6:45 higher quality and for less money and
6:48 and that's that's going to start
6:49 happening so I think you could
6:50 absolutely just go
6:52 annihilate some big agencies
6:56 um
6:57 anything that looks like SAS kind of
7:00 software development like I'm gonna make
7:02 a tool that uses AI to write you
7:05 articles or write you this or write you
7:07 that there's I feel like the competitive
7:09 space there is going to be insane and in
7:11 fact
7:12 futurepedia.io like that's like of the
7:15 3700 you know tools that you can play
7:18 with here 3 500 of them are just like
7:21 you know like duct tape sitting on top
7:24 of a chat GPT prompt basically
7:28 um
7:28 so there's gonna be a lot of that so I
7:31 would say don't go thin
7:33 um another area that might be
7:34 interesting is if you've got access to
7:37 proprietary data that could look really
7:39 interesting so think
7:41 you know your data set GPT so so
7:45 Bloomberg is a big Financial
7:47 um information
7:48 organization that they charge a boatload
7:51 of money for access to their information
7:52 they announced Bloomberg GPT so you're
7:55 going to be able to do chat GPT like
7:58 stuff but on trusted Bloomberg financial
8:00 data so is that going to be a hit I
8:03 don't know but they're the only ones
8:04 that have their data so if you've got
8:06 access to big data sets like that
8:08 there's probably some interesting stuff
8:10 to do there
8:11 uh
8:12 um
8:13 depends how geeky you are if you want to
8:16 you know start digging in the tech stuff
8:18 like playing around with autonomous
8:20 agents and things like Lang chain
8:23 and starting to figure out the kinds of
8:27 agents you can produce I think that's
8:29 going to be a massive Market but I think
8:32 in that case you're going to be
8:34 competing against you know open AI
8:38 um uh Microsoft Apple right everyone's
8:42 going to be doing autonomous agents and
8:44 the and the biggies are going to do it
8:46 really well so so you you might get
8:48 whacked
8:50 um
8:52 I don't know I mean that I mean the
8:54 thing about it the reason I include
8:56 prompts.chat here is go look at that
8:59 list right because that list
9:03 starts to reveal it starts to peel back
9:05 the onion on how deep this thing
9:07 actually is that one of the things about
9:09 chat GPT is it kind of looks like a
9:12 Google Search and if you don't really
9:13 dig deep on it you're like that's just
9:16 fancy Google it's way more than fancy
9:18 Google
9:20 um
9:20 so so it prompts that chat you know it
9:23 says like act like an accountant act
9:24 like a
9:26 um
9:26 a therapist act like a business coach
9:29 act like there's all these different act
9:30 like a
9:32 and what you're doing is you're kind of
9:34 setting up chat GPT to be really good at
9:36 that thing in my opinion that list of
9:39 personas is probably a list of
9:40 businesses you could start right you
9:42 could figure out something interesting
9:43 in that the other thing that I'd say
9:45 Jason is what are you good at right what
9:49 like what's your current job are you a
9:51 project manager are you a creative are
9:53 you a logical thinker are you a people
9:56 person are you a systems person figure
9:59 out what you're good at
10:01 figure out especially if you know the
10:04 kinds of problems that you know people
10:07 that need your services are consistently
10:10 solving
10:11 learn AI well enough
10:14 to understand how you might be able to
10:16 solve their problems better faster or
10:19 cheaper or all three ideally using these
10:21 tools
10:23 and I don't just mean these three it
10:24 could be mid-journey if you want if
10:26 you're on the creative side it could be
10:28 music and animation tools if you're on
10:30 that side you could be using canva with
10:33 you know automated content generation so
10:35 so there's all sorts of flavors of this
10:37 stuff right now but if you're just
10:38 getting started start there but I don't
10:40 know there's the
10:42 the answer to your question is why why
10:46 I'm all over the place with it is
10:48 generative AI is just a tool
10:52 so it's not like it's going to be an AI
10:54 business it's what you need to create is
10:56 a business that uses AI right
11:00 and so so I would sort of put it back on
11:02 you to say what's a business that you
11:04 think needs to be in the world
11:06 and then start to figure out can you do
11:08 it with AI
11:09 10x better than what's out there and the
11:12 answer is probably yes
11:16 um
11:23 sorry I sing like that
11:26 but I'm trying to find my questions
11:34 here hello hello hello
11:41 um
11:47 been playing with chat gbt for a month
11:50 or so still don't think I have access to
11:52 plugins so let me show you something you
11:54 might but you might not know it because
11:57 I think everybody has access to plugins
11:59 now but you need to know a little trick
12:01 because
12:03 nothing has documentation anymore
12:06 does it
12:08 alright so let's go to so here we are at
12:12 chat GPT so if you've paid your 20 bucks
12:14 for chat GPT Plus
12:16 and you've got access to GPT 3.5 and
12:21 gpt4
12:22 when you go to gpt4
12:26 um you should see three options there
12:27 default browse with Bing and plugins if
12:29 you don't see these bottom two see how
12:32 they say beta it means that you haven't
12:33 actually enabled the beta features so
12:36 how you do that is you go to your
12:38 profile you go to settings
12:41 and then there's a beta features option
12:43 you click on that
12:46 and there you you have to turn this [ __ ]
12:49 on now why open AI is doing that is like
12:52 is this really [ __ ] annoying yes this
12:55 is really [ __ ] annoying but if you're
12:56 not seeing them that's probably the
12:58 reason why now if you're paying 20 bucks
13:01 a month for GPT plus and you're not
13:04 seeing these then I don't know what to
13:06 tell you but that's probably what's
13:08 going on is my guess
13:10 and then once you have plugins turned on
13:13 then you basically just go and you get
13:14 this new little drop down menu and like
13:16 here's all the ones I have installed and
13:18 you can enable up to three of them in
13:21 any given chat session and then
13:24 um you can go to the plug-in store and
13:26 there's now more than 600 of these
13:28 little bad boys again you know 550 of
13:33 them are just
13:36 shitty pieces of useless dribble but
13:39 some of them are actually kind of
13:40 interesting let's see how many 151 times
13:44 four that's how many there are so 604
13:47 plugins so hopefully that helps you
13:51 um Walters
13:55 let me know if if that did it or because
13:58 I also some people have access to
14:02 um code interpreter from chat GPT and I
14:05 really want it but I don't have access
14:06 to it and it's not in my little list so
14:09 that makes me cranky
14:12 do
14:17 all right can my phone know what I am
14:20 thinking
14:21 how is it doing can my phone know what
14:24 I'm thinking
14:26 how is it doing I don't quite know what
14:28 that question means
14:30 um
14:33 I mean
14:35 all of our devices are gathering data on
14:39 us every day so they don't necessarily
14:41 know what we were thinking but they
14:43 certainly know what our behavior is and
14:45 can predict that and with these AI tools
14:47 they can do it better the generative AI
14:50 stuff isn't really reasoning it's it's
14:53 just a probability engine so it isn't
14:55 thinking like we think you know we're
14:57 we're still the thinkers here
14:59 um it's just providing us instant access
15:02 to like all of Humanity's knowledge
15:05 um so so that's pretty amazing
15:08 um but I if you rephrase your question I
15:10 don't quite know what you're asking
15:11 there but I'm happy to do that
15:14 all right
15:16 let's see
15:20 um which one do I recommend for smma
15:22 someone asked me that the other day I
15:24 forget what I said my name is hold on
15:26 please
15:27 I do I I when I saw it I was like oh SMI
15:34 um social media marketing marketing
15:36 agencies is that what that means
15:42 I thought it meant something else what
15:45 does
15:46 SMA stand for
16:03 yeah if it's social media uh give me the
16:07 give me the acronym because I don't know
16:09 what smma is
16:19 all right let me just do something here
16:23 do
16:41 all right
16:44 hello hear what
16:46 Altman said about
16:49 plugins that they haven't found their
16:51 product Market fit is that what you're
16:53 talking about cabrino
16:56 um or if he said something today I
16:58 didn't hear that today is it really
17:00 worth the money like can it really help
17:02 a person person accomplish important
17:04 things the check EBT yes it can help you
17:08 accomplish important things it can
17:11 program for you it can write for you it
17:13 can solve problems for you uh
17:16 it can do that stuff all good or really
17:19 bad depending on how good you use it
17:21 it's a tool um is it worth 20 bucks in
17:24 my opinion it's worth way more than 20
17:26 bucks it's the most powerful tool ever
17:28 put in the hands of mere mortals so yes
17:30 I think it's worth 20 bucks but if you
17:33 don't want to spend the 20 bucks you
17:34 don't have to there you can use chat GPT
17:36 3.5 for free
17:38 but you can also go to bing.com and
17:40 click on their chat button and that's
17:42 gpt4 for free
17:44 and you get to use it for free and it's
17:46 connected to the internet and so yes so
17:49 I think every human being on the planet
17:52 right now owes it to themselves to go to
17:55 one of these tools and use it long
17:57 enough to understand what it makes
17:58 possible
17:59 because it's mind-blowing it's [ __ ]
18:01 mind-blowing if you just scratch the
18:03 surface of it you're like yeah it's just
18:05 a it's just a it's just like Google it's
18:09 not just like Google it's not
18:11 and it is
18:14 um
18:15 I mean I'm happy to talk about like what
18:17 it is how it works what it's trained on
18:19 but basically what chat GPT is is they
18:21 trained it on all of the internet so
18:23 imagine
18:26 um imagine you you know a savant who
18:29 who's who's not very good at human
18:31 skills
18:32 but has an incredible brain and has gone
18:35 out and looked at every link on the
18:37 internet and learned everything like
18:39 everything this Savant looks at goes
18:42 into their crazy ass crazy straw brain
18:45 that's what chat GPT is and you have to
18:48 give it a lot of guidance like a savant
18:50 you have to it's kind of Shepherd it
18:52 along and tell it what you want and say
18:53 I want you to act like
18:56 um an expert at uh I don't know math
19:00 differential calculus and it will go
19:02 okay I'll act like a you know an expert
19:05 in differential calculus and then you
19:07 start asking it questions and it knows
19:09 like all the [ __ ] so
19:11 um so yes I think it's really worth the
19:14 money but you don't need to spend the
19:16 money to under to start to understand
19:18 what it makes possible just go to
19:19 bing.com
19:21 click on the chat button
19:23 and then in a separate Tab in a separate
19:26 window go to prompts.chat
19:29 and read about prompting and read like
19:31 there's some free primers in there and
19:33 some free ebooks there's a paydie book
19:35 in there don't pay for it just read the
19:38 free [ __ ] and then look at the long long
19:41 long long long list of prompts that you
19:44 can tell bing.com to act like these
19:46 personas and just go start playing
19:49 and at some point it'll click in where
19:53 you'll go oh
19:55 it could do that
19:57 could it do this
19:59 mm-hmm
20:01 have that moment play with it until you
20:03 have that moment and then come back and
20:06 then you tell me if you think it's worth
20:08 20 bucks
20:10 I mean I pay a lot of money for software
20:13 that I don't think is worth [ __ ]
20:15 so
20:17 um 20 bucks for a piece of software
20:18 that's gonna change everything in my
20:21 opinion
20:22 it's going to change the way we work
20:24 it's going to change the definition of
20:26 work it's it's got the chance of
20:28 dramatically increasing Prosperity
20:31 um does it also have the chance of
20:33 making things worse yep
20:35 um
20:36 are we early enough in this that we
20:38 don't have to worry about that in the
20:40 next three months yes no we don't
20:43 um
20:44 is it early enough that us as
20:47 individuals if we do good things with
20:50 this and share that with the world it
20:52 may actually have a positive impact on
20:54 the trajectory of where this goes yes
20:56 that's why this channel exists
20:59 all right
21:08 all righty then
21:12 oh yeah tell me what what Sam Altman
21:14 said about the plugins
21:17 let's see
21:20 do you think you'll see more Enterprise
21:22 versions that are walled off to protect
21:25 intellectual property yes so Stacy B
21:29 Stacy B hinzo flow
21:33 am I I don't know if I'm saying that
21:35 right if I'm missing something but yes
21:37 Stacy yeah I think I I think that's
21:41 probably the next big area where where
21:43 these tools are going to improve
21:45 dramatically
21:48 um and quickly and and so when Google
21:51 rolls barred and whatever other AI tools
21:55 into the office suite for the for Google
21:58 office and when Microsoft rolls co-pilot
22:01 across office 365.
22:05 um both of them are going to make it
22:07 very very easy to essentially GPT your
22:10 own your own data
22:12 um I think Apple's also going to be
22:14 really good at that I also think
22:17 proprietary data is where uh businesses
22:21 are going to find competitive Advantage
22:23 with with AI because one of the
22:26 challenges with generative AI is that
22:28 every business that that gets started is
22:31 going to be really easy to knock off
22:33 because you're just going to be able to
22:34 take this tool and go go make me a
22:37 business just like that one and it'll
22:38 just it'll just vomit it out and make it
22:42 for you we're not too far from that so
22:45 so so then what what becomes competitive
22:48 Advantage I think starts to look like
22:50 proprietary data so
22:51 um so I think it's it's very very
22:54 important for
22:56 um
22:57 for businesses because businesses won't
22:59 use chat gbt if they feel at all like
23:03 you know their private data is is
23:06 compromised in any way or or at risk
23:09 they just won't use it
23:11 so all of these companies understand
23:13 that
23:14 um so yes very good question
23:18 all right
23:20 um that your travel guide is an
23:22 excellent tool for travel is that your
23:25 travel guide is an excellent oh I
23:28 is it called that your travel guide
23:30 I'll look that up supposedly Bing is now
23:33 available for iOS chat GPT app but I
23:37 can't seem to activate it
23:39 um
23:41 I couldn't either
23:43 the interface for the IOS app is shitty
23:47 so what do you have to do okay you have
23:49 to do this you have to
23:51 go to your settings which is in the
23:53 upper right hand corner
23:55 sometimes setting shows up there
23:57 sometimes it doesn't in a little
23:58 hamburger menu sometimes it shows up
24:01 sometimes it doesn't
24:02 but get into settings and then make sure
24:04 that browse with Bing is turned on
24:07 and then what you have to do is you have
24:09 to go new chat which I think is
24:13 I can't I can't run it here
24:16 um do I have it there no
24:18 um basically you go to new chat which I
24:20 think is in the upper left hand corner I
24:22 think you click on your your face and
24:24 then it says new chat when you say new
24:27 chat what you get is what looks like
24:29 what what you see in the
24:33 um
24:34 in the web version so let me show you so
24:37 okay so in the web version you go to
24:41 this new Chat thing new chat and then
24:44 you see how you've got GPT 3.5 and gpt4
24:47 in the iOS mobile app if you say new
24:49 chat you get this same thing and then
24:52 you click on gpt4 and just like this
24:54 when it drops down
24:56 two menu items default and browse with
24:59 Bing so
25:01 if you're expecting it to browse with
25:03 Bing and you haven't explicitly said use
25:05 the browse with Bing feature it won't do
25:07 it
25:09 so that's what you have to do I just
25:11 figured that out today I'm glad I had an
25:13 answer on that one because I like I used
25:15 it four or five times and I could not
25:18 figure it out
25:20 um please comment on playground okay I'm
25:23 happy to do that so
25:26 so so what we're looking at right now is
25:29 chat gbt now chat GPT is a very thin
25:33 application sitting on top of the GPT
25:36 3.5 and 4
25:39 large language model which is the the
25:41 engine that sits underneath it so so
25:43 this is an application what the what the
25:46 playground is is where if you wanted to
25:49 develop an app like this or you wanted
25:50 to develop a business app or you wanted
25:52 to do something the playground is where
25:55 you go on an open AI servers to actually
25:57 do that development and test your
26:00 prompts and things like that so if you
26:02 want to get there you go to
26:03 platform.openai.com
26:05 slash playground so
26:08 platform.openai.com playground
26:11 and then you end up on on this page and
26:15 so you've got a giant window here with a
26:18 submit button and then you have some
26:19 geeky [ __ ] over here to the to the right
26:22 I'll explain that when you first get
26:24 here you're in a Mode called complete
26:26 which basically it will complete
26:28 something for you like write me
26:33 a business plan for a lemonade
26:39 stand
26:41 um
26:44 in Antarctica
26:49 and then you say submit and it will now
26:51 write you a little business plan
26:53 executive summary
26:55 and actually this is a good one because
26:58 to write a business plan it'll be fairly
27:00 long we'll see at some point this is
27:01 going to truncate and then I'll show you
27:03 why it does that
27:04 I also don't know why it's going so slow
27:06 right now this is normally much faster
27:08 than this
27:10 okay should be truncating right about
27:15 come on
27:24 that's weird it's not truncating
27:27 huh oh there it did okay there it
27:30 stopped so the reason it truncated
27:33 um one of the settings you have here is
27:34 maximum length so this is like the
27:36 maximum number of tokens that it's gonna
27:38 you're it's allowed to generate that's a
27:40 way for you to cap costs you also have a
27:42 thing here called temperature which is
27:44 from zero to two this used to be zero to
27:47 one so I don't know if they
27:49 if I I don't know if one is the same as
27:51 it used to be like is 150 percent now or
27:54 is one 100 and 2 is 200 I don't know but
27:57 basically temperature means the lower
27:58 that you put it the more precise it is
28:02 the higher that you put it the more
28:03 creative it is just in simple terms
28:06 um and then you also have different
28:07 modes you've got complete mode which is
28:09 just a simple you send it a prompt you
28:11 get back a completion there's also chat
28:14 mode
28:15 where you give it a system prompt so the
28:19 system prompt here will be like you know
28:21 I want you to act like William
28:22 Shakespeare and when anyone you know
28:25 asks you anything well we'll do it now
28:28 um so say
28:29 um you are Shakespeare
28:33 and you only respond in iambic
28:39 pentameter
28:42 um in highly
28:47 um dramatic responses
28:52 and then so if I come over here now and
28:55 I say
28:57 um
28:59 can you explain
29:03 how internal combustion engines work
29:08 question mark and then if I submit that
29:11 it should now tell me how an internal
29:13 combustion engine works
29:15 in a
29:17 um
29:18 in iambic pentameter which you did ah
29:22 the Roar of engines Fierce and Ablaze a
29:24 symphony of power within the cage right
29:27 so so with with chat mode you're
29:30 actually setting up kind of a Persona
29:32 that it's going to act like and then you
29:34 know you can you can
29:36 modify that and make it much more
29:38 sophisticated but you can have it give
29:40 you things so so basically what you do
29:42 here is you come and you kind of work
29:43 out all of your prompting and get it
29:46 working right and all of your settings
29:48 and your temperature settings and then
29:50 that's the stuff that you would take and
29:51 you would put into a zapier automation
29:54 or if you're doing no code stuff you
29:56 might be creating a chat app called
29:58 Bubble or you might all that sort of
30:00 stuff so
30:03 um
30:04 so I hope that helps uh Altman expressed
30:08 uh let's see today today
30:17 okay ultimate Express skepticism about
30:20 plug plugins product Market fit yeah
30:22 that's what I thought it was
30:24 um
30:25 oh for SM
30:27 a a not smma okay
30:31 um yeah yeah Sam Altman has said
30:33 basically
30:35 um people aren't using plugins there's
30:37 there's a couple of reasons why
30:39 um the interface for them is dog [ __ ]
30:42 the quality of them is worse
30:45 um he's got it buried underneath a beta
30:48 feature that you have to know is there
30:50 to turn on they're not just
30:52 automatically there for everyone
30:55 um
30:56 and it's really unclear why and how you
30:59 use them
31:01 um
31:02 I think that plugins are also probably
31:05 just a stepping stone
31:08 to how autonomous agents are actually
31:11 going to work so right now with plugins
31:13 you have to know they're there you
31:15 enable them you then go look through 600
31:18 plugins some all of them look kind of
31:21 interesting and cool and then when you
31:22 actually use them you're like
31:24 is it me or does that suck
31:27 and the answer is it sucks
31:30 and and then so so you have to do all
31:34 that just to get to understand okay this
31:36 plug-in is actually interesting that
31:38 one's not right okay so now I've got a
31:39 set of 10 interesting plugins
31:43 now I have to
31:46 figure out which of those 10 plugins I'm
31:49 going to use in any given chat session
31:51 depending on what I want to do in the
31:54 chat session right so what the plugins
31:57 kind of presume is that you
32:01 know what the [ __ ] you want to do right
32:03 so if I know I want to go plan a trip
32:08 um I might go to chat EPT and say okay
32:12 um rather than just having it go to the
32:14 Internet and look at anything I'm going
32:15 to use these plugins because they're
32:17 they're special travel plugins and so
32:20 I'm going to enable three different
32:21 travel plugins and then I'm going to ask
32:23 it to plan my trip the problem is
32:25 sometimes those plugins aren't great and
32:27 you would have been better off just
32:28 having it go search the internet but
32:30 also I think just most people
32:32 aren't quite that intentional yet with
32:35 chat GPT I think everyone's trying to
32:37 figure out what the [ __ ] do I do with
32:38 this thing how do I actually use this
32:40 thing
32:41 so I think so so so that's kind of the
32:44 problem right now is that to get real
32:47 use out of the plug-ins there's like 20
32:49 steps that you need to do up front to
32:52 even get your head around what they are
32:54 and then you have to start using them in
32:56 this really intentional way
32:58 I think where these things go in the
33:00 future is that plugins will still exist
33:02 but we just won't really see them
33:04 they're going to drift into the
33:05 background because what you'll do is
33:07 you'll go you'll say into your magic box
33:11 um I want to plan a trip and the magic
33:13 box will figure out do I need to use a
33:15 plug-in can I just get that off this the
33:17 internet
33:18 um is it something so specialized I need
33:20 to write my own API for and I'll just
33:22 write a custom API call the data and
33:26 deliver the answer based on that custom
33:27 API like that's where I think we're
33:29 going is is these things are going to be
33:31 a hell of a lot more intelligent about
33:33 solving your problem so so rather than
33:36 you having to be the architect of the
33:39 application all you have to do is have
33:41 your gold right and that's the promise
33:43 of autonomous agents like Auto GPT and
33:46 baby AGI and all that sort of [ __ ] the
33:49 promise of that is you just say I want
33:51 to go to Cincinnati three weeks from now
33:53 and it will go figure the rest of the
33:55 [ __ ] out the reality is it's not very
33:57 good at that right now and the plugins
33:59 are not very good right now so
34:02 the grace that I'm trying to live within
34:07 with all of this AI stuff is just
34:10 understand how [ __ ] early we are
34:13 even though machine learning and ai's
34:17 been around for 20 or 30 years
34:19 this generative AI stuff these sort of
34:21 post-chat GPT stuff
34:25 is only six months old and so everyone's
34:27 trying to figure it out everyone's
34:29 throwing all the pasta at all the wall
34:31 including open AI so
34:33 um
34:34 so I don't know now now Sam Waltman has
34:38 also said that they want to get heavily
34:41 into the
34:43 um agent business the personal agent
34:45 business like everyone will have a
34:46 personal assistant it's this AI thing
34:49 um the the ex-founder of deepmind just
34:51 got funded 1.3 billion dollars for his
34:54 personal assistant called Pi
34:56 um Apple's gonna definitely have one of
34:58 these Microsoft is gonna definitely have
35:00 one of these hopefully hopefully they
35:02 name it clippy 2.0 but if they don't
35:05 we'll still forgive them Google's gonna
35:07 have one of these
35:09 um so now open I oh open AI has said
35:11 that they want to create one of these
35:13 and they're what I just described you
35:15 give it some goals and it'll go figure
35:16 [ __ ] out for you
35:18 um yeah the smma stuff smaa stuff hang
35:22 on yes
35:24 um
35:26 this is the automation stuff is that
35:28 right
35:29 day today no that's not it
35:41 I I the the answer to the smaa stuff is
35:44 that I don't know I don't know the tools
35:45 I would go to I would go to
35:47 futurepedia.io and just look for that
35:49 there I'm sure there's tools out there
35:50 for it but I mean that said there are
35:53 things that you could do within GPT 3.5
35:55 or gpt4 and just do a lot of the you
35:59 don't need a tool necessarily there's
36:01 probably a lot of stuff that you can do
36:02 around smaa just within gpt4 do I reply
36:07 to DMs I do
36:10 um what are something that I use it for
36:13 so I'm using I'm using generative AI for
36:15 a lot I'm using it for
36:18 um
36:19 one is just like I'm more creatively
36:25 inspired and activated than I have been
36:29 in like three decades
36:31 so one is just trying to get my head
36:34 around this [ __ ] is changing the way I
36:37 think about everything so so just at a
36:39 at a at a human being level
36:41 what this
36:43 that in particular chat GPT
36:48 what it makes possible like the the
36:50 portal to knowledge that it is is so
36:53 profound that I'm just like I I've spent
36:56 the last six months just trying to get
36:57 my head around it
36:59 um and and it's it's it's insane so so
37:02 that's that for my business I use it for
37:05 a lot of things we're using open ai's
37:07 whisper technology to do interactive
37:09 transcriptions I have a video
37:10 storytelling like a an automated video
37:13 storytelling platform somebody answers a
37:16 series of questions in our app it goes
37:18 up to the cloud five minutes later you
37:20 got a fully edited video so we've been
37:22 around for 11 years companies called
37:23 storyvine
37:26 um so so now for every video in the
37:28 system we've got interactive
37:30 transcriptions that are generated by by
37:32 Whisper so they're actually really good
37:34 like I haven't had transcriptions for a
37:36 decade because the transcription sucked
37:38 or they were expensive or they were
37:39 slower you had to use people
37:42 these are just good you put them in
37:43 there they're good so so there's that
37:45 the way we create our templates for
37:48 people to tell their stories we have to
37:49 write these prompting questions so I
37:51 created an engine where you answer a few
37:53 questions about a story that the the
37:55 client wants to tell and it will
37:57 automatically write you a set of
37:59 questions and they're as good if not
38:01 better than what we would create over a
38:04 two to three hour you know two to three
38:07 single hour sessions it knocks them out
38:09 in 30 seconds
38:12 um I'm also looking at completely
38:14 re-architecting the value proposition of
38:17 my company the product roadmap of my
38:19 company and the long-term vision of my
38:21 company in the face of this
38:24 um so I there's not much that I'm doing
38:27 personally or professionally that
38:29 doesn't somehow involve this so
38:32 um that I also started a community
38:36 called the AI Salon uh which you're
38:38 welcome to join if you want to hang out
38:39 with a bunch of Geeks trying to figure
38:41 this [ __ ] out and I started this channel
38:43 so uh you know I'm I'm now a 58 year old
38:47 influencer
38:48 [Laughter]
38:51 I gotta take me some twerking lessons
38:53 can chat GPT teach me how to twerk
38:57 laughs how do you suggest starting with
39:00 it that's what this channel is all about
39:01 that's why so here's the deal if for
39:03 those of you that have been here before
39:05 I apologize for this because this I I go
39:07 over the same [ __ ] over and over again I
39:09 will change out these URLs but that are
39:12 behind my head when I think it makes
39:14 sense but but the reason they're there
39:16 the reason all this is theirs is to
39:18 answer your question DJ
39:21 start just go here go to chat.openai.com
39:25 and start playing it's gonna look like a
39:28 Google search box
39:29 and you can type something in and and
39:32 just start with what I call parlor
39:33 tricks tell it to write a song for you
39:36 like a country song about some cliche
39:39 topic or
39:41 um have it write you a poem or or uh ask
39:44 it to explain something to you that you
39:46 have no clue about like I always say you
39:49 know explain quantum mechanics to me and
39:51 then it'll do it and then it's still too
39:53 complicated and I'm like okay explain
39:55 quantum mechanics to me as if I were a
39:57 six-year-old and then I'll understand it
39:59 or use metaphors or do it like
40:01 Shakespeare would do so the parlor
40:03 tricks are just start to get your head
40:06 around there's almost nothing that you
40:08 can throw at this where it won't give
40:10 you some sort of interesting response or
40:12 some sort of response sometimes it's
40:13 interesting sometimes it's not
40:15 and then the second thing to do is go to
40:18 this URL prompts.chat and this will
40:20 teach you about prompting and prompting
40:22 is I I saw a description today of of
40:26 that that rather than calling people
40:28 prompt Engineers we should we should be
40:31 calling them
40:32 um
40:34 um I think it was GPT psychologists or
40:37 or llm large language model psychologist
40:39 but basically interacting with this
40:42 thing is like is like a psychological
40:44 exercise and it very much is
40:47 um
40:47 unlike a Google search
40:50 which kind of wants the most sparse
40:52 prompt possible like a Google search is
40:54 just like you know give me uh you know
40:57 the competitors to this company and it
41:00 will go out and do that
41:02 chat apt works better the more context
41:04 you give it so the more you interact
41:06 with it and tell it okay I want you to
41:08 act like this and I'm gonna act like
41:09 this and I'm going to tell you a little
41:11 bit about what I'm up to and then I'm
41:13 going to have you ask questions and you
41:15 know so you can understand what I want
41:16 to accomplish and and you have this back
41:19 and forth conversation with this thing
41:21 and the more you back and forth with it
41:24 the better it gets in a given session
41:28 um
41:28 there's a point at which in a given
41:30 session it will sort of forget where you
41:32 started and that can get kind of weird
41:33 but you know it's just the state of the
41:36 art right now
41:37 um
41:38 but but it's it's very much it's very
41:41 much an interaction the best way I can
41:44 think about it is like chat GPT is like
41:46 you just hired
41:49 um
41:49 an intern who needs a lot of Direction
41:53 but who's brilliant like knows
41:55 everything
41:57 but it needs a lot of direction or she
41:58 needs a lot of Direction
42:02 hello Tyron truth
42:05 coach GPT what's happening
42:08 how much is the program to use it to use
42:11 this nothing if you want to use plugins
42:15 it's 20 bucks a month
42:17 bing.com is also chat GPT for free it's
42:21 gpt4 for free and and bing.com uh has
42:25 announced that they will support plugins
42:28 um once they're rolled out more largely
42:33 um
42:34 rain rain I gave you some examples of
42:37 how I use it if that's not clear I'm
42:39 happy to talk about other ways I use it
42:41 but that's those are the biggies for me
42:44 right now
42:46 foreign
43:02 I lost my place I lost my place get me
43:06 back to my place would you
43:09 and read most companies are freaking out
43:12 yes companies are freaking out right now
43:14 and they should be freaking out right
43:15 now
43:17 if like I mean I'm I'm a
43:21 an owner of a business but it's my my
43:23 business is relatively small we only
43:25 have I don't know six or seven full-time
43:27 employees and we have a tech team in
43:29 Prague
43:31 um
43:32 but like
43:34 I've been in sort of existential crisis
43:36 mode about my business for like five
43:38 months no more than that like seven
43:40 months now
43:42 um
43:44 and I and I think you know I think big
43:46 companies it's way harder because for
43:49 big companies to unlearn how they do
43:51 what they do is going to be really hard
43:55 so
43:59 all right
44:01 help troubleshoot coach GT help
44:04 troubleshoot my JBL speaker with it this
44:06 am oh that so so there's a buddy there's
44:09 a guy that's part of the AI salon
44:11 who's the the maintenance manager of my
44:14 building
44:15 and so he joined the AI salon and he's
44:18 he's been into this stuff and he
44:20 actually created a business called
44:21 maintenance mentor
44:23 so I was giving a keynote speech in our
44:26 building we have a big presentation
44:27 space and there were like 160 people
44:29 coming
44:31 and we go to setup
44:33 the the uh the computers the
44:36 presentation and the sound doesn't work
44:37 the audio doesn't work
44:39 and chat GPT we troubleshot it with
44:43 maintenance mentors so it was basically
44:44 calls to chat GPT that solved our
44:46 problems so yeah I've I've done
44:48 something very similar and it was like
44:50 you know we had like
44:52 30 minutes to troubleshoot it and it was
44:54 this really hairy weird problem it ended
44:56 up being a bad a bad HDMI port on one of
45:00 the machines
45:02 um but it helped us troubleshoot it
45:03 can we businesses download the open a
45:07 open AI model even if it's a hundred
45:10 terabytes so you can't download the
45:12 weights What's called the weights which
45:14 is their proprietary Secret Sauce of how
45:16 it works
45:18 meta has released
45:21 their core models and weights to the
45:25 developer community
45:28 so if you go
45:30 um go to Reddit or just go to Twitter
45:32 and look for open source llm large
45:34 language model you'll see all the
45:37 different projects out there there's a
45:38 bunch of projects out there a lot of
45:40 those projects are doing two things
45:43 simultaneously they're training up these
45:46 smaller models to be as good
45:48 as chat GPT 3.5 one of them
45:53 was it the MPT model one of one of them
45:55 yesterday exceeded
45:59 um GPT 3.5 uh the the the vicuna test or
46:04 someone I don't know whatever someone
46:05 came up with a test right that is it as
46:07 good as chat GPT
46:09 um and and an open source model for the
46:11 first time yesterday exceeded GPT 3.5
46:16 um so those you can download and and so
46:19 so one thing they're doing is they're
46:20 making the quality as good
46:23 but they're also making the size smaller
46:25 and smaller and smaller so they're
46:26 figuring out ways to optimize
46:29 um the thing so I think probably within
46:31 a year or two we'll have files small
46:33 enough that you can install them like on
46:35 your phone or on any laptop or any
46:39 computer without connection to the
46:40 internet that'll be as good as GPT at
46:43 least GPT 3.5 is now maybe gpt4 although
46:47 it's it sounds like gpt4
46:50 is a lot more complicated than open AI
46:53 is letting on
46:55 is AIP
46:57 RM needed if I knew it AIP RM was I
47:03 could maybe answer that what is a iprm
47:08 for those of you that think of a machine
47:10 learning scientist I'm not
47:13 um
47:17 I don't know what it is chat CPT doesn't
47:20 know what it is if you could spell out
47:22 your acronym I use chat GPD to help my
47:24 mom save 18K and back taxes that's super
47:26 cool once you get good at it it's like
47:28 Kyle says sky's the limit yeah like like
47:31 that's the thing like right now there's
47:33 not
47:38 it's not like you can go to a class and
47:40 get a certificate in what this thing is
47:42 because it's only six months old
47:46 and what it's going to be
47:49 is not going to resemble what it is
47:51 right now at all
47:53 so the most important thing you can do
47:55 right now is get really curious and get
47:58 really adventurous
48:00 and learn this thing well enough to to
48:04 start understanding that whatever it is
48:06 that you're really good at and that
48:08 you're really passionate about it can
48:11 help you
48:12 think of this thing as as an amplifier
48:15 for your Humanity for what you want to
48:18 do or what you have always wanted to do
48:21 it can likely help you do that and and I
48:24 mean generative AI in general not just
48:26 chat EPT but start with chat EVT but it
48:28 might be images it might be videos it
48:30 might be music
48:32 but start here
48:34 start to get your head around just how
48:37 deep this well is just how deep it goes
48:40 and it's it's kind of like the harder
48:42 you push it the better it gets and and
48:44 once you start so I've been saying this
48:47 on my lives for the past three or four
48:48 nights you should use this until you
48:51 have what I call the Kevin McAllister
48:53 moment have your home alone moment where
48:55 you're on chat GPT and then you go
48:59 foreign
49:01 I had no idea
49:03 it can do that
49:07 what do you think of Microsoft's new AI
49:11 certificate I listen I think a I think
49:14 it's probably going to be good because
49:16 it's going to be generative AI I think
49:17 there's a couple of things that I've
49:19 seen in the past week or two that I
49:21 think are are promising and and
49:23 interesting one is the new Microsoft
49:26 certificate
49:27 um Google just released one as well open
49:30 AI just did they've got a what's it
49:33 called
49:34 um did I did I go search for today
49:38 um let's see open AI prompt engineering
49:44 yeah open AI
49:49 has has an article called
49:52 um best best practices for prompt
49:54 engineering with open AI API and there's
49:57 another one for chat GPT from openai
50:00 that's really good
50:01 um the city of Boston released a set of
50:05 guidelines for using generative AI so so
50:09 we're starting to see
50:10 you know big organizations or cities
50:13 right starting to say
50:15 um this stuff's important it's worth
50:17 learning here's free free things on how
50:19 to use it everything that I've seen so
50:22 far are relatively
50:24 um high level simple you know this is
50:27 not a computer science degree this like
50:29 how you use generative Ai and like how
50:30 you use it in your life so I think I
50:32 think they're all good again anything
50:35 that you can do to get you up to speed
50:37 on what this makes possible is the most
50:40 important thing to do right now
50:43 um that link are all my that link are
50:45 all my use cases with chatgpt I posted a
50:47 video today about the back taxes use
50:49 case that's awesome
50:51 awesome awesome
50:53 most companies are freaking out what
50:55 about real estate
50:57 um so so yes it's gonna be it's gonna be
51:02 really good at real estate let me see I
51:04 wonder how many real estate plugins
51:06 there are let me go look at that
51:08 if there's interesting ones in here
51:10 maybe we'll go play
51:15 [Music]
51:22 hop hap
51:24 enriched real estate data and
51:26 location-based tools
51:28 um
51:29 I think just using gpt4 connected to the
51:32 internet or Bing you know you can you
51:34 can search for houses in a price range
51:36 you can you can do all that sort of
51:38 stuff I think it's going to be amazing
51:40 for Brokers and agents to be able to do
51:42 marketing easier better
51:45 um
51:46 I think the ability to do virtual
51:49 walkthroughs right now is not super easy
51:52 but I think with Nerf technology which
51:55 if you haven't seen what's going on with
51:57 the Nerf stuff where basically they're
51:59 just taking you know a series of still
52:02 photographs with a digital camera and it
52:04 turns it into 3D you know fully skinned
52:06 models that you can navigate like that
52:08 shit's happening so so I think the the
52:11 ability
52:13 um for for Real Estate to be able to do
52:15 what they do much more efficiently I
52:17 think it's going to be huge and again if
52:19 you're in real estate what I you know
52:22 what I would encourage you to do again
52:23 go here start learning what it can do
52:26 and then take what you do and see if it
52:29 can help you do that so give me a table
52:31 comparing this neighborhood to that
52:33 neighborhood and the pros and cons of
52:35 each and it will create you a table for
52:38 that
52:41 um it's a huge opportunity for people to
52:43 become in quotes the expert coach GPT
52:45 yes that's that's very much right and
52:48 and here's the thing about being an
52:49 expert in in generative AI right now
52:52 there are no [ __ ] experts period
52:54 end of story there there are experts in
52:57 machine learning and the science side of
53:00 this the research side of this but with
53:02 generative AI with chat GPT kind of the
53:05 all this new stuff
53:06 no one's an expert right now and no one
53:09 will be for for I'm guessing two years
53:11 because there's just it's it's moving
53:14 way too fast it's evolving way too fast
53:15 that said
53:18 start teaching yourself how to use
53:20 become AI literate and as you do that
53:22 start teaching other people start
53:24 talking about it on LinkedIn start
53:26 sharing that you're doing this thing let
53:29 people think you're [ __ ] crazy my my
53:31 friends and family think I'm just
53:33 batshit crazy my co-workers are like oh
53:35 God he's talking about that again I
53:36 don't give a [ __ ] this is some of the
53:38 most profound stuff in the history of
53:40 humanity I'm I'm in right so so
53:44 um
53:45 just start doing that and what will
53:47 happen is the people around you who want
53:50 to learn about this stuff when they
53:52 think I gotta figure this out they'll go
53:53 ah I know
53:55 I gotta talk to that that guy in the
53:57 office he was talking about chat GPT and
54:00 I told him to [ __ ] off let me go let me
54:02 go take him out for a drink could you uh
54:05 I heard this thing might be taking my
54:07 job could you uh hook me up
54:12 be the guy that they come to be the
54:14 woman that they come to
54:18 um
54:19 [Music]
54:21 please comment on playground versus Bing
54:25 so playground
54:26 with playground you're just playing with
54:28 you're sort of accessing the different
54:31 large language models and and you're
54:32 kind of down more at a programming level
54:35 Bing is is an application layer that's
54:38 sitting on top of that just like chat
54:40 GPT so you've got your large language
54:41 model down here and your fine tunings
54:44 all the proprietary [ __ ] that open AI
54:46 does
54:47 then you have chat sitting up here it's
54:49 an application layer that sits on top of
54:51 that core model the playground you're
54:54 kind of more directly accessing the
54:56 models and the apis and things like that
54:58 right so it's just a way for you to
55:00 access it at a layer underneath this
55:02 application layer Bing and chat GPT are
55:05 both application layers sitting up above
55:07 the base models
55:11 so so the playground requires you to
55:13 have a bit more
55:15 technical chops to just even get your
55:17 head around what what the [ __ ] are they
55:19 talking about
55:20 and understand that if you really want
55:22 to understand all this stuff on that
55:24 page you have to go to the documentation
55:26 and then in the documentation they're
55:28 going to give you python code and Json
55:29 and you have to understand Python and
55:32 Json and just you know if you have to
55:34 understand enough technically to
55:35 understand even what they're talking
55:37 about they'll talk about weights and
55:40 embeddings and and you know
55:43 Vector library or vector databases
55:46 there's all sorts of [ __ ] down there
55:48 that when you use chat GPT you don't
55:51 need to worry about that stuff when you
55:52 use Bing you don't need to worry about
55:53 that stuff if you're geeky and you want
55:56 to learn about that stuff then that's
55:58 why you would play on the playground
56:01 the playground does sound fun currently
56:03 trying to justify 20 a month to my
56:05 Frugal employer to play around with gpt4
56:08 versus 3.5
56:10 keep working on your employer well a
56:13 waiter maybe you know get to your
56:14 employer is figure out something your
56:16 employer is really into and then show
56:17 them what what GPT can do you know maybe
56:20 GPT connected to the internet
56:23 um but you can just just use uh the chat
56:26 at bing.com that's gpt4 connected to the
56:29 internet right so that's free so in the
56:32 interim between when your boss you know
56:34 coughs up to 20 bucks you know or just
56:38 pay for it yourself but if you don't
56:39 want to do that then I just use Bing
56:44 resumes are a fantastic use case how did
56:47 you get the playground you get the
56:48 playground
56:49 platform dot openai.com so platform
56:53 instead of chat platform dot openai.com
56:56 playground
57:00 do you do this in playground I'm not
57:02 sure what you're referring to but the
57:04 the white screen I was looking at was in
57:07 playground
57:09 GPT 3.5
57:11 in chat GPT can only remember so many of
57:14 your inputs before it forgets that's
57:16 correct so it's got a it's got about a
57:18 three thousand word what it's called
57:19 context window so as you're chatting
57:22 think of like this sliding 3000 word
57:24 window where anything you know older in
57:28 the conversation that's more than three
57:30 thousand words or so will be forgotten
57:33 if you're asking well why can't it
57:35 remember just because it sucks right now
57:38 and things are early
57:40 um but the gpt4 is going to be a 32 000
57:45 token context window so it's going to go
57:47 up to about 25 000 words and if you
57:49 really need a large context window if
57:52 you subscribe to poe.com
57:54 one of the Claude models there has a
57:57 hundred thousand token context window so
58:00 so at poe.com you can put in 75 000
58:03 words and you know interact with it so
58:06 it has a much longer memory for for a
58:09 given session
58:11 at po.com you could also do things like
58:15 copy and paste an entire novel
58:18 manuscript into it and start interacting
58:21 with it
58:24 um it looks like I may have to go pick
58:27 up my kids
58:29 hold
58:35 um
58:39 I've never known it to succeed in iambic
58:42 pentameter successfully yeah I know
58:45 anything where it's actually got to
58:46 count something I I noticed that too
58:48 it's it's iambic pentameter like
58:51 it doesn't it doesn't quite have the
58:54 right syllables there's there's a lot of
58:56 the problem with
58:58 um
58:59 anytime you ask it to count or calculate
59:03 or say give me exactly this many words
59:05 it's really bad at that because of the
59:07 nature of the prediction model so it's
59:09 kind of predicting the next most
59:12 probable word until it's finished
59:15 so it may intend to only write 75 words
59:18 but it's just going through and
59:20 predicting the next word and if
59:22 sometimes it's 65 words sometimes it's
59:24 90 sometimes it's 78 sometimes it's 75
59:28 it's kind of random so I think iambic
59:31 pentameter is similar that way but it
59:34 gets close it sounds Shakespeare like
59:37 um the other thing that you can do a
59:39 thing that probably would work is if
59:42 you've got some writing
59:44 if you if you've got a little
59:45 description of what iambic pentameter
59:47 was that really described it
59:49 and you had example iambic pentameter
59:53 um I bet it would do good then and I
59:55 I've also it's also not good at it can't
59:57 do a Shakespearean sonnet very well
59:59 because that's got a very specific 14
1:00:01 line structure that it doesn't get right
1:00:02 either but if you give it a um if you
1:00:07 give it an example it'll probably do
1:00:09 good that's that's a good trick with
1:00:11 with uh with chat GPT is if if you just
1:00:13 can't get it to kind of give you the
1:00:16 Nuance of what you want give it examples
1:00:17 it's good at that
1:00:19 um Let me let me check my text though I
1:00:21 gotta I think I have to I have to go
1:00:23 pick up the chillings
1:00:33 what
1:00:37 time question mark all right
1:00:40 you get a ton of options for the models
1:00:42 too for beginner and non-developer
1:00:44 oh uh coach GPT is talking about the
1:00:47 playground yeah you get there's lots of
1:00:48 other options there that both both the
1:00:52 good thing and the bad thing about the
1:00:54 open AI playground is that it's more
1:00:56 complicated there's more options right
1:00:59 it just means it's more complicated but
1:01:01 there are more options there
1:01:04 um that's not iambic pentameter I know I
1:01:06 know
1:01:07 language Geeks what website was that I
1:01:11 don't know which one was I on
1:01:13 uh I forget what I showed
1:01:16 I forget what I showed sorry about that
1:01:18 I think that was the playground was it
1:01:20 if it was the white one it was it was
1:01:23 platform.openai.com playground
1:01:26 thank you that was helpful you're
1:01:27 welcome Eddie uh DJ cracked up at
1:01:31 something
1:01:33 um how many people are using Chachi PT
1:01:35 for more than their job I think most I
1:01:38 think most people that are using it are
1:01:40 using it for more than their job there's
1:01:42 also
1:01:43 um
1:01:43 there's also there's a guy there's a
1:01:45 Wharton Professor named Ethan Malik
1:01:49 um definitely worth following on Twitter
1:01:50 his his pieces are amazing
1:01:53 um he does like medium articles they're
1:01:55 amazing he just did one like last week
1:01:58 called discovering the secret cyborgs
1:02:02 and what he's talking about is the
1:02:04 secret cyborgs are so so in case you
1:02:07 didn't know chat GPT went from zero to
1:02:09 100 million users in six weeks
1:02:12 fastest adoption of technology in
1:02:14 history
1:02:16 what Ethan Malik is talking about in
1:02:18 this article called discovering the
1:02:20 secret cyborgs I think it's discovering
1:02:22 is it just discovered I think
1:02:25 I don't want to give you the wrong one
1:02:27 um Malik
1:02:30 Secret
1:02:32 a detecting detecting the secret cyborgs
1:02:35 so what he's talking about here is
1:02:38 within organizations right now you've
1:02:41 got a an entire class of people that are
1:02:43 using generative AI as a personal
1:02:45 productivity tool and they're not
1:02:47 telling their company about it because
1:02:50 the company may have a policy that says
1:02:52 you can't use chat jpt
1:02:54 it's evil it's gonna they're gonna steal
1:02:57 all our data and or they're like you
1:03:00 know if if you use it you're going to
1:03:02 get fired or
1:03:04 um employees might be doing now in four
1:03:06 hours what used to take them 30 hours
1:03:11 and they don't necessarily want to tell
1:03:13 their boss so what you've got is you've
1:03:15 got organizations
1:03:17 who are still trying to figure out if
1:03:19 they're going to use generative AI if
1:03:21 this is all just hype and [ __ ] right
1:03:23 they they don't it's not easy to use on
1:03:25 their own data there's very unclear
1:03:27 boundaries around security and privacy
1:03:30 so the companies are kind of slow
1:03:32 rolling this stuff the employees are
1:03:34 kind of going all in and there's this
1:03:36 Gap that's happening right now where
1:03:38 you've got these secret cyborgs and what
1:03:40 Malik talks about is that companies
1:03:42 should aggressively go after their
1:03:45 secret cyborgs they should figure out
1:03:47 who they are who's learning this [ __ ]
1:03:49 we're not going to fire you we're going
1:03:51 to celebrate you come teach the board
1:03:54 what this [ __ ] is
1:03:56 so again back to that idea of I think
1:03:59 there's huge opportunity for anyone
1:04:01 right now to learn this stuff start
1:04:03 telling people you're learning it don't
1:04:06 be hiding it because as organizations
1:04:09 start figuring out we need to figure
1:04:11 this [ __ ] out
1:04:13 um you'll be the one they come to and
1:04:16 then in terms of using it for more than
1:04:17 your job like I'm using it for
1:04:18 everything I use it for like like
1:04:21 planning
1:04:23 um um like like personal lists
1:04:25 organizing things when when someone's
1:04:28 like hey I need to figure out this that
1:04:29 or the other like a personal favor I
1:04:32 like just hop right on chat GPT help
1:04:33 them figure it out you know 10 times
1:04:35 quicker than I could have done it
1:04:37 otherwise I like like
1:04:39 I'm almost using it as my this is taking
1:04:43 me three or four months to get there but
1:04:45 I'm almost using it as my default
1:04:47 initial step in any problem solving
1:04:51 so rather than saying oh here's a
1:04:53 problem let me think let me Ponder on
1:04:55 that and well I'll go to Google and then
1:04:57 I'll search this and then I'll search
1:04:59 that nope
1:05:00 and I'm I'm having to like untrain my
1:05:03 [ __ ] 58 year old brain to not think
1:05:07 like that and to just go oh problem let
1:05:10 me let me go let me start with chat jbt
1:05:13 and at least get my my head around the
1:05:15 problem and and what the possible
1:05:17 solutions might be and it does it like
1:05:18 that
1:05:20 so so
1:05:22 I think a lot of people are using it the
1:05:24 the once you kind of get what it makes
1:05:27 possible it's it's almost hard to to
1:05:30 think like why would I do that any other
1:05:32 way like it's it's it's strange
1:05:36 what time ten
1:05:38 wait okay
1:05:41 um
1:05:42 hold please
1:06:04 all right thank you thank you agree we
1:06:08 were in Chicago last week we wanted to
1:06:10 eat somewhere near the United Center yep
1:06:13 oh that's cool I left you on the
1:06:15 Roseanne show that's just evil that's
1:06:18 that's that's a Tom Arnold joke I
1:06:21 resemble that remark I got a new haircut
1:06:23 I do this hair with the tall hair I do
1:06:25 you know what you're right I right now
1:06:27 with this haircut as tall as it is and
1:06:30 with these glasses and with this
1:06:31 dippy-ass smile right now I look like
1:06:34 Tom Arnold uh when he when he lost all
1:06:36 that weight like was it right after he
1:06:38 got the divorce yeah so thank you that's
1:06:42 that's a solid troll kimster I
1:06:44 appreciate it
1:06:45 create creative trolls are good
1:06:48 creative trolls are the best is it a
1:06:50 compliment sorta
1:06:52 is it a dramatic slap down yeah yeah
1:06:56 it's all of those
1:06:58 how would you be here by 10 leave by
1:07:02 um
1:07:20 all right
1:07:22 so I've got I've got 15 minutes and I
1:07:24 gotta go
1:07:24 uh we had a concept after dinner that
1:07:27 suggests us the suggestions using the
1:07:30 kayak plug-in were garbage yeah I my um
1:07:34 my co-founder of my business coach is um
1:07:39 she's very very experienced at travel
1:07:41 stuff she used to run a travel agency so
1:07:43 she's very experienced at it and she she
1:07:45 said all of the travel plugins suck that
1:07:48 she used right but but using chat GPT
1:07:52 connected to the internet was better
1:07:53 because I assume what it can do is it
1:07:55 can search multiple sites depending on
1:07:57 your query
1:07:58 all right you can't specify
1:08:01 that you want to use one and which one
1:08:04 you can only pick the three it may use
1:08:08 if it seems like it's appropriate yeah
1:08:10 plugins plugins are a bit of a mess
1:08:12 right now
1:08:13 hello Emilio's wife welcome welcome
1:08:15 welcome the best plugin for chat GPT in
1:08:18 my opinion is metaphor
1:08:21 yabl and stories all right let me go
1:08:25 I haven't played with stories you've
1:08:28 talked about in here before
1:08:31 but I don't I haven't heard of those
1:08:32 other two so let me go get them yabble
1:08:40 all right create insights instantly any
1:08:43 audience any questions yabble it that's
1:08:45 interesting and then metaphor all right
1:08:50 metaphor meta Mentor metaphor search
1:08:56 meta four yeah metaphor search access
1:08:59 the internet's highest quality content
1:09:01 recommended by people powered by neural
1:09:04 search okay that's interesting
1:09:06 I mean that's that's
1:09:09 that are really just kind of of gateways
1:09:11 to specific sites so if if someone's got
1:09:14 a site that does a very specific thing
1:09:15 and it's been around for a decade and
1:09:18 they write a little plug-in like what
1:09:19 the all the plugins really doing is it's
1:09:22 saying here's a description of when you
1:09:24 would use this plug-in and then if
1:09:26 you're going to use it here's the API
1:09:28 for the [ __ ] you can send it and the
1:09:29 [ __ ] it'll return back
1:09:31 so they're really easy to write which is
1:09:34 also the reason why a lot of them suck
1:09:35 right because people are writing plugins
1:09:37 like one of them that I saw that just
1:09:39 made me want to smash my face on the
1:09:41 screen it like rewrote the copy of a
1:09:44 website for you which was okay did it
1:09:46 okay but then it said if you want you
1:09:48 know more things like this come to our
1:09:50 agency and you know we'll do this for
1:09:53 you I'm like yeah it's just like an ad
1:09:55 for an agency but I'll play with those
1:09:57 other two
1:09:58 that's cool thanks for thanks for
1:10:00 sharing that uh the future AI can easily
1:10:02 replace us so there's no point if if
1:10:04 we're here early or not I don't know
1:10:06 listen I think it's really easy to go to
1:10:09 the dark place I'm I'm trying to stay in
1:10:12 the light just even though you know I've
1:10:14 got some Shadow over here like the dark
1:10:15 is creeping but I'm trying to stay in
1:10:18 the light I'm trying to stay in the
1:10:19 light here
1:10:21 um
1:10:23 Jarvis is real it's gonna be we're not
1:10:26 that far from it
1:10:28 what jobs won't be taken over by AI I
1:10:31 don't I don't if
1:10:34 I mean listen a I don't we we it's easy
1:10:37 to forget a AI isn't six months old ai's
1:10:41 been around for like you know what
1:10:43 two decades maybe you know three three
1:10:45 two to three decades but 10 years 10 to
1:10:49 15 years where it's been
1:10:51 you know expert systems and things like
1:10:54 that have been pretty powerful so
1:10:55 there's there's a lot of AI in
1:10:57 everything we do right now
1:10:59 this generative AI stuff because it is
1:11:02 such a general use tool and because it's
1:11:04 so powerful from everything from the you
1:11:07 know the highest paid knowledge worker
1:11:09 all the way down to the most tactical
1:11:10 you know person
1:11:12 Ally with knowledge work and creative
1:11:15 work and and you know any any kind of
1:11:17 any any kind of computer work
1:11:20 um I don't think there's a single job
1:11:22 that won't be
1:11:23 completely transformed by it
1:11:27 um it doesn't necessarily mean that
1:11:29 those people are not going to have jobs
1:11:31 it just means that the jobs they do and
1:11:33 how they do them are going to be
1:11:34 completely different
1:11:36 how far it extends into sort of
1:11:40 non-knowledge workshops and non-creative
1:11:42 jobs I don't know but if you change how
1:11:45 everything is done you know sort of from
1:11:47 knowledge work down to Tactical
1:11:50 um I can't imagine that that's not going
1:11:52 to have a dramatic impact you know
1:11:54 farther down the chain and it's like
1:11:56 even even someone who is well actually a
1:11:59 good example the the maintenance guy for
1:12:01 the building that my my company is at
1:12:04 he created this thing called maintenance
1:12:06 mentor
1:12:08 that tool so basically what it is is as
1:12:11 a as a maintenance person running a
1:12:13 building
1:12:15 you hire these mentors so there's like
1:12:17 the HVAC guy and there's the plumbing
1:12:20 guy and there's the electrical guy and
1:12:21 the you know or person
1:12:24 um
1:12:25 that that are these GPT agents right
1:12:28 that teach you how to fix stuff and
1:12:31 troubleshoot stuff so uh and he's also
1:12:34 doing it so that it can translate it
1:12:36 from English to Spanish right so there
1:12:39 may be
1:12:40 um
1:12:41 how maintenance people do their work and
1:12:44 how they solve problems might change
1:12:46 dramatically they might be able to do it
1:12:49 faster they might be able to do it more
1:12:50 efficiently they might be able to do it
1:12:52 better they're they're they may be able
1:12:55 to deploy an agent that rather than them
1:12:57 having to manually update the firmware
1:13:00 for these six devices
1:13:02 an AI agent will just go do it they'll
1:13:05 just say hey go update all my [ __ ]
1:13:08 and it will know all of the systems it
1:13:10 will write apis to go get all the
1:13:12 updates it will have access to all of
1:13:15 the control systems that they gave it
1:13:17 access to and it'll update all the
1:13:19 firmware and it'll do it in the least
1:13:21 busy time of the building right it'll do
1:13:23 all that stuff automatically so I don't
1:13:27 I can't imagine a job I mean you know
1:13:31 what was it Wendy's has now said that
1:13:33 they're gonna they're they are in active
1:13:35 tests with virtual drive-through
1:13:39 uh order takers
1:13:42 hey can I take your order that person
1:13:46 I think I think it's Wendy's is is now
1:13:49 experimenting with that I I just I can't
1:13:51 right now I can't imagine a job that's
1:13:53 not going to be affected by this [ __ ]
1:13:56 I feel that any job that is data entry
1:13:59 will be gone soon data entry customer
1:14:01 service
1:14:03 um
1:14:04 all
1:14:06 tactical executions so think copywriting
1:14:10 you know photo editing
1:14:13 um
1:14:15 you know internal comms
1:14:18 reports like like all of it if if you
1:14:22 haven't seen um if you haven't seen code
1:14:25 interpreter go to YouTube right now and
1:14:28 and just search for code interpreter
1:14:30 chat GPT it's a new mode that's coming
1:14:33 for chat GPT
1:14:34 that's a full-on data analyst that not
1:14:37 only analyzes data but like writes
1:14:39 Python scripts to generate reports it's
1:14:42 like [ __ ] insane thanks for the
1:14:45 response hey Thelonious the image of the
1:14:48 license plate was too undetailed to
1:14:51 denoise yeah I I know that that's that's
1:14:54 one of the
1:14:56 hey there that's that's one of the
1:14:58 things whenever I see one of those TV
1:15:00 shows where they take the completely
1:15:02 blurred out thing and it it turns into
1:15:03 this you know perfect perfect sort of
1:15:06 thing
1:15:07 um there's a point at which where
1:15:08 there's not enough data there to get it
1:15:10 so anyway sorry about that that sucks
1:15:13 um humans that humans that can make
1:15:15 mistakes
1:15:16 humans can take mistakes and take too
1:15:18 long yeah so this will speed that up
1:15:22 um the other thing so because I know
1:15:23 there's a fair amount of people here
1:15:25 um this isn't all Shangri-La so
1:15:29 um Chachi PT does what's called
1:15:31 hallucinating if you don't know that
1:15:32 basically it will lie to you
1:15:35 um and it will it will confidently
1:15:37 um give you an answer even if it's wrong
1:15:39 so I like to call it mansplaining as a
1:15:41 service I didn't come up with that term
1:15:43 but I love it
1:15:45 um like a good man it will confidently
1:15:47 answer you even if it ain't right
1:15:49 um it does that a lot and there's
1:15:51 reasons why it does that that will get
1:15:53 better over time but just know that so
1:15:55 if you're using this to do anything like
1:15:56 say write a legal brief it could be
1:15:59 really good at writing legal Arguments
1:16:00 for you but it will also cite cases that
1:16:03 don't exist so check them if you're
1:16:08 putting it in front of a judge for
1:16:09 example is the AI salon on Tick Tock are
1:16:12 we are here let me show you the I'll
1:16:13 show you the info for the AI salon
1:16:16 yeah
1:16:17 so that's the URL the salon.ai that's a
1:16:21 um
1:16:22 um there's a link tree there so we've
1:16:24 got a meet up that we meet every other
1:16:26 week the next meeting is next Wednesday
1:16:28 the fifth we usually meet on Tuesdays
1:16:30 but Tuesday's the fourth so we're going
1:16:32 to meet on the 5th and we're doing a
1:16:34 cool thing called AI confessionals next
1:16:35 week where where people are just going
1:16:37 to talk about here's something I did
1:16:38 here's something I learned here's my big
1:16:40 Insight those they're fun meetings we
1:16:42 usually have speakers we also have a
1:16:45 Discord server where you can geek out
1:16:46 and ask questions and play with
1:16:48 mid-journey uh and then we have a
1:16:50 LinkedIn group as well and then this
1:16:51 everyday AI is a newsletter that I do
1:16:54 with a guy named Greg mushin and we do
1:16:57 cool sort of Twitter threads there and
1:16:59 things like that
1:17:01 uh no please Kyle no twerking I know
1:17:05 I just I just taunt people with my my
1:17:07 thread of turkey twerking if if you
1:17:09 don't if you're gonna troll in here and
1:17:11 you don't troll creatively I will twerk
1:17:16 I will punish everyone in here
1:17:19 if you're not a creative troll
1:17:21 what does chat GPT
1:17:24 why does chat GPT not use
1:17:27 a continuous knowledge base okay
1:17:29 because the the way that they actually
1:17:33 train the base model the base large
1:17:35 language model is actually a very manual
1:17:38 um
1:17:39 time consuming process they're they're
1:17:42 basically identifying and tagging
1:17:45 like probably hundreds of thousands of
1:17:48 data sources
1:17:50 um and then it's
1:17:54 um
1:17:54 millions of dollars of GP GPU compute
1:17:58 time they're basically using
1:18:00 um
1:18:02 GPU enabled AI supercomputers to to
1:18:06 train train these models on massive data
1:18:10 sets so so basically what happens when
1:18:12 when it's called embedding when they're
1:18:14 embedding a data set they're turning it
1:18:16 from words into what are called vectors
1:18:18 so it's a series of numbers that
1:18:20 basically plot these words into semantic
1:18:23 groupings mathematically like it doesn't
1:18:25 even know
1:18:26 they are words they're just number
1:18:29 vectors Within
1:18:31 like many thousands of dimensions of
1:18:35 space like mathematical space so when
1:18:38 you do a prompt
1:18:39 what it's actually doing is is it saying
1:18:41 based on all of that prompt what is
1:18:44 based on all of the words that I know in
1:18:46 all of these you know
1:18:48 meaning regions
1:18:51 um what's the next most probable word in
1:18:53 the sequence and then what's the next
1:18:54 most probable word after that and the
1:18:56 next one after that so the way it
1:18:58 actually does what it does is
1:19:01 um
1:19:01 is pretty fascinating but that's a it's
1:19:03 a very very time consuming
1:19:06 hardware and and human being
1:19:11 um heavy process and it just takes a
1:19:13 long time it's like six months
1:19:15 six months to a year something like that
1:19:18 um
1:19:18 so that's why
1:19:20 but because they're not connected to the
1:19:22 internet it kind of It kind of fills the
1:19:23 Gap and over time I would think
1:19:26 that they're gonna find ways to augment
1:19:28 the base models with maybe once a month
1:19:31 they update them or something like that
1:19:33 I don't know enough about how it works I
1:19:35 like that might not be possible right so
1:19:38 with current technology but you know
1:19:40 someone will figure that [ __ ] out
1:19:42 but that's why there's the I only know
1:19:44 anything up to September 2021 that
1:19:47 problem
1:19:48 um I love trying to figure out the best
1:19:50 way
1:19:51 for word prompts for AI I know it's like
1:19:54 I saw it described today on um
1:19:57 on Twitter as a large language model
1:20:00 psychologist that you're more like a
1:20:02 psychologist when you're working with
1:20:03 this thing than an engineer that you're
1:20:06 really trying to figure out
1:20:09 um
1:20:10 you're really trying to figure out like
1:20:12 how do I give this thing enough context
1:20:15 like you would give an intern
1:20:17 so that that intern can get the job done
1:20:20 I do too I'm the same way Hercules it's
1:20:23 there's there's I don't know something
1:20:25 really gratifying about the problem
1:20:26 solving that is prompt writing
1:20:30 because it's it's creative and it's
1:20:33 technical
1:20:34 and it's like magic and it's completely
1:20:38 unpredictable right so it's like it's
1:20:41 like this amalgamation of all these
1:20:43 different modes we we sometimes work in
1:20:47 um I think Kyle is asking Bing how to
1:20:50 make it
1:20:52 oh to his kids in 17 minutes oh I'm
1:20:55 gonna yeah I was talking to my kids
1:20:56 before they were they were like I was
1:20:58 like when when do you want when do you
1:21:00 when do you want me to I like
1:21:02 I don't know what I said I said
1:21:03 something they were like 10. and I'm
1:21:05 like do you want me there at 10 or
1:21:07 should I leave at 10 and there was a
1:21:08 whole back and forth
1:21:10 sorry about that the 80d thing sometimes
1:21:13 I just exit conversations without any
1:21:15 context
1:21:17 I'm the guy that come to it work you
1:21:19 should like you should strive to be the
1:21:23 person at work that people are like when
1:21:25 when they finally get the itch up their
1:21:27 butt to go I need to figure out to say I
1:21:30 stuff you should be the one to come to
1:21:33 how will they know that because you talk
1:21:35 about it
1:21:38 which one is the free well chat GPT is
1:21:41 free
1:21:42 but it's only the free is 3.5 if you
1:21:46 want four you have to pay for it there
1:21:48 bing.com is also free
1:21:51 and it's chatgpt4 for free it's slightly
1:21:56 different than that one but it is chechi
1:21:58 pt4 and it's connected to the internet
1:21:59 so bing.com click on the chat button at
1:22:03 bing.com that's chatgpt for
1:22:07 and it's free
1:22:09 also tell it to make you an image of
1:22:12 something they Incorporated Dolly image
1:22:14 generation into Bing
1:22:16 um chat so you can say make me a picture
1:22:19 of a dub flying through the air and
1:22:21 whatever and it will now Dolly kind of
1:22:25 sucks as an image generation tool so
1:22:26 they're not going to be great and then
1:22:28 pose also free
1:22:30 um but the the the the fancier models
1:22:33 are not so
1:22:35 one and three
1:22:37 cost money to have the fancy models
1:22:40 um number two Bing is the free version
1:22:44 where can I find those articles I don't
1:22:48 know which articles I showed hang on
1:23:03 um
1:23:03 [Music]
1:23:10 so go to
1:23:12 help.openai.com
1:23:30 hmm did I have a way to I don't think I
1:23:33 have a way to put it here
1:23:35 hang on
1:23:44 go to help
1:23:46 help.openai.com and search for the
1:23:48 article how do I create a good prompt
1:23:52 and then click on quick start tutorial
1:23:57 and that gives you if there's a really
1:23:59 cool thing that openai did where they
1:24:02 teach you how to do how to do some
1:24:03 prompting
1:24:05 um but you can also go to this thing
1:24:07 like why I have this here prompts.chat
1:24:09 will teach you about that stuff as well
1:24:15 um how am I doing oh I gotta leave I
1:24:17 gotta leave the kids
1:24:18 oh AIP RM is a chrome plug-in that
1:24:22 pre-prompts you it also costs 20 for the
1:24:25 premiums
1:24:26 I am not paying for any Chrome plugins
1:24:29 right now simply because
1:24:31 um
1:24:32 they're they're they're too sort of
1:24:34 fleeting they're they're too they're too
1:24:36 easy to build and they're too easy for
1:24:37 people just to do things that look slick
1:24:40 on the surface but are just kind of
1:24:41 [ __ ] that are ultimately going to be
1:24:43 replaced by something that one of these
1:24:45 major companies does so I'm not playing
1:24:47 with them right now it doesn't mean
1:24:49 there aren't good ones out there there
1:24:50 probably are I just haven't explored
1:24:51 them for me right now the it's I like a
1:24:55 more pure experience like I I really the
1:24:59 more I can get my head around
1:25:00 understanding how the hell this thing
1:25:01 works and and how I can make it work
1:25:04 that that right now is serving me so all
1:25:08 the plugins and all these little apps
1:25:10 that are kind of pre-prompting for for
1:25:12 me
1:25:13 um I'm I'm just kind of resisting them
1:25:16 because I'm like I don't wanna I don't
1:25:18 want to get lazy because it's we're
1:25:20 gonna get lazy soon enough like within a
1:25:22 year we won't we probably won't have to
1:25:24 prompt like we have to prompt now
1:25:26 um so that's why I just go there anyway
1:25:28 um thanks for hanging out maybe I'll pop
1:25:29 back on later I gotta go pick up the
1:25:31 chillins so I'm out of here uh everyone
1:25:34 have a great Sunday night have a
1:25:36 fantastic fourth I'll probably see you
1:25:37 tomorrow if not later tonight peace
1:25:39 everybody thank you thank you thank you