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

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