Join Patrick Martin and learn how to use ChatGPT for filmmakers

Join Patrick Martin and learn how to use ChatGPT for filmmakers.To learn more about Carole Dean and From the Heart Productions please visit www.FromtheHeartProductions.com.

Transcript

SPEAKER_03 0:01

Love Hope Radio.

SPEAKER_02 0:15

Hi, and welcome to the Art of Film Funding. I'm your co-host, Claire Capan. Along with Carol Dean, author of the best-selling book, The Art of Film Funding, Carol is also the founder and president of From the Heart Productions and the host of this show. Our very special guest, Patrick Martin, has been a pioneer in artificial intelligence and virtual reality since the 1980s when he secured two million venture finance as a college student. His team from Oxford and University College London created The RoboShow, a rudimentary AI project which became a media sensation across the United Kingdom and Europe. Patrick pioneered virtual reality editing for Sony for the 1996 Olympics in Atlanta, featuring a 300-foot screen, and he was sponsored by Intel for the Intel Super Screen in Moscow in 1998. In the 2000s, Patrick evolved the world of AI-driven search engine optimization and founded 3D SEO with his team of Google application developers. Patrick is a certified Google partner and successful investor in AI startups. And Carol, I understand that Patrick works for From the Heart, and then he's also managing a YouTube channel for you.

SPEAKER_05 1:57

Yes, Claire, that's right. We're really happy to work with Patrick, and I want to share him and his expertise with our listeners. So thank you for joining us, Patrick. Noah is my present. Good. We're going to have some fun and learn something. Because we want to know how to use Chat GPT because it has tons of benefits for filmmakers and entrepreneurs. Right now I use it for research, thanks to what you've shown me. But in Fant Countries, uh I can ask for tips from Caroline about pitching your film, and it will give me a list. So I think it's exciting. I know that we're all worried about how many jobs AI will take. But the fact is that there are so many benefits and we need to learn how to use it to enhance our jobs to keep our jobs. So that's the plan. So let's get started and uh talk to us about how we can use Chat GPT uh on YouTube.

SPEAKER_01 3:05

Well, YouTube is a particularly useful way to use ChatGPT because you can use the functions of ChatGPT in a very important number of ways. And there's going to be a sort of cheat sheet on the uh um uh from the Heart Productions uh blog post. So many of the things here, you know, uh you can you can read about and and and and use. So the first and the most important thing that most people in the film business want to be able to do, if for example, you're making a documentary, is to get the transcript of what has been said. And let's assume for argument's sake, you know, this used to take quite a long time. You used to have to listen to it and then just write it down to you know that the what whatever uh had been said uh had been noted. We don't have to do that anymore. Now there's a system called Otta, that's O T-T-E-R dot AI, that is 99.9% accurate, especially if you train it, meaning that you give it a lot of the same speaking voice, that will provide you with a complete transcript just by uploading, you know, the video. So now you've got a transcript that's extremely accurate. Once you've got an accurate transcript, and it hasn't taken very long, and it's you know not an expensive service that's about$18 a month, something of that nature, you can then take that transcript and off to go to GPT, chat GPT, that is. And you know, we recommend that you get yourself a uh a paid account, it's only 20 bucks a month, but that gives you access to both four and 3.5. What's the difference between the two? 3.5 um is it's a bit like uh a a regular horse, and then GPT-4 is is like a racehorse. You know, i it goes faster and and it uh and it wins more races. But if you don't know how to ride a horse, don't jump onto a you know on a racehorse first, yeah? It'll probably go backwards, yeah. So the key here is that if you use 3.5, which is very, very good to start off with, you'll be faced with what's called a prompt engine. And the prompt engine is a very important thing because what it's doing is it's not just going to give you a simple sequence of answers like Google. No. What it's going to do over here is it's actually going to do work, real work. And what is that work? Well, one of the things that we want to be able to do when we have a transcript is to put the transcript into GPT 4. That's right. Just cut and paste, put the transcripts into GPT, chat GPT, and then ask ChatGP2 to provide a set of long tailed keywords. Now, if you don't know what a long-tailed keyword is, it's just a combination of keywords. It's just a fancy way of saying, well, you know, here's a sentence with two or three keywords in it. And generally speaking, 80 to 90% of search is governed by the long tail, meaning there's lots more variations of combinations of keywords than there are single keywords, and that the great majority of traffic comes from long tail keywords. So it's a very important term to understand and use. So if we look at GPT, we can put the transcript into GPT, and then we can say, look, give us the long-tailed keywords. And then GPT will then skew out 15 short sentences of long-tailed keywords. Now, let's assume for argument's sake that we can cut and paste those long-tailed keywords, and then what we're going to do is we're not just going to use GPT-4. And we're not just going to use GPT-4 once. And in this illustrative example, what we're really doing is called multi-prompting. That means start by doing one thing, obtain a result. We've taken an audio tape, and now we have text of a transcript. We then take that transcript from the AI, because that's auto AI, they specialize in transcript, and off we go to GPT-4, which is much more of a large language model. We won't go into the details of that. There's lots that have been written about large language models that everybody can read. We go into GPT and we put in the transcript. Now we've got 15 long-tail keyword combinations. And let's assume for argument's sake we can cut and paste those. Now what we're doing is we're going to get another artificial intelligence. And this one is one that anybody that's on YouTube should be using because they're pretty much a monopolist on this. They've got all the data, and they're called VID VIDIQ. Now, VidIQ is a different type of AI. It's an AI that is looking at all the data that is flying around in YouTube and it's saying, well, we've got access to all of this data, and we can tell what keywords are highly competitive. For example, you know, um movie making is a highly competitive keyword that has four or five hundred thousand people looking for it. Um, and you know, it's extremely high competition, so the likelihood of ever getting a top position is virtually zero, and you'll be on page 96, uh, you know, sort of with no traffic. If on the other hand you ask for terms that are less competitive, for argument's sake, film funding for documentaries, you happen to be making a documentary, so therefore you're looking for film funding for a documentary. Well, there we see there's not that many people looking, maybe two or three thousand. But the amount of competition, meaning the number of people that are competing with you for that particular term, is low. Aha. Well, that's important to know, isn't it? So now you can take the results of the GPT-4 that has given you all the long tail keywords that are associated with the transcript, and you can put them into Vid IQ and test which of those keywords are effectively low competition with a reasonable amount of traffic. Well, that's a human intelligence using artificial intelligence to speed up work that is likely to produce a good result because what you're really interested in doing is connecting with people that have very specific interests. And the narrower the interest is defined specifically to, for example, a funding for a documentary maker, the better it is that Google, with its understanding of what is effectively YouTube, which is owned by Google, different algorithm because they're interested in other things other than just sending you to the right video. But leaving that aside for the moment, if you have a good guide to all of the various keywords within your area of interest that are then being put through a secondary AI that's giving you where is the low-lying fruit, where are the low competition uh keywords that I can actually get a top three, top five position and really get some traffic for people that are interested in what I am doing, bang, these are the keywords, then you use your human intelligence to make the best use of that information to create a title of your work. And let's assume the argument is that what we're interested in doing over here is we're interested in documentary filmmaking funding and all the variations of that, and then we take that title and we put the title and the transcripts into GPT-4 again. And why are we doing that? And the reason for that is that we want to generate two important pieces of information. The first piece of information that we want to do uh uh uh uh uh uh find is the description of what is this video about, and so therefore, the transcript and the title combined will allow GPT 4 or 3.5 to write a description of the video. Secondly, it will also be asked to put the chapters together, meaning the number of segments within the video that are, for argument's sake, scene two, three, four, five, or whatever, where you know there's a change of scene, and it'll do that as well. So now we have all of that information, which would normally take six or seven hours, and it's taking about two hours to do. And so, from that point of view, or three hours to do, the importance of using ChatGPT is to do specific functions for specific activities that have a lot of contextual information so that a result is really useful. And that's by you know, way of what is called now prompt engineering, asking very specific questions in theories to get very important information as far as answers are concerned. And the second thing that you can also do, of course, is when it comes to video, which is a separate issue completely, you can use DAO E, which is D-A-Dow uh uh uh double L-E, to create images from prompt. So you can say, you know, uh provide me with a fairy tale house of a hobbit um using, you know, uh oak tree as an example of uh a hobbit living in an oak tree, and it'll produce a hobbit in an oak tree for you. Now there's other operations with AI that will then take that hobbit in a oak tree and do the mouth movements of speaking for you know 10 or 15 seconds reasonably realistically, you know, just sort of Disney standards of of talking with a what I would call a locked-off shot, uh uh, you know, no moving uh cameras, just a locked-off shot, somebody facing camera or a hobbit facing camera, and it's gonna say, hello, I'm a hobbit that lives in in New Zealand, and then you put in the text, and then the hobbit will say, I'm a hobbit that lives in New Zealand. And those are the technologies that are also extremely useful in certain important categories, such as news releases and all of the various things where avatars are now being used by the BBC, Microsoft, and everybody else. So all of these types of technologies are using traditional skills. You have to be able to construct a meaningful, important title for your video, once you've got the information about what is likely to be the low-lying fruit. But if you haven't got an English uh, you know, uh an understanding of English as a native speaker, you're probably not going to be able to write a very good title. So using your existing skills as a screenwriter or as a as a editor or as a you know a designer, all of these tools are now available to speed up the work and and to produce uh a a quality of work that's much higher uh with much less time.

SPEAKER_05 15:44

All right. Well, Patrick, I want you to I want to learn more. Let's go back to this Dolly One because uh I listened to uh Volyan, who calls himself the father of Pixar, and he said he talked about Dolly One and how to use it, and he said Dolly Two uh would be faster. He said it took him a year to create them, but Dolly Two would be maybe six more months and would have it. Um and that people could create their own videos with it.

SPEAKER_01 16:19

Well, yes, to a certain extent, I'll tell simply what we've already tried to do. So for argument's sake, I, as you know, am working with uh uh uh Basil Moore, who's a filmmaker that we both know, and he has a character um with a planet Gleeze, which is a movie about a sort of utopian world uh in a sort of sci-fi environment. So I just went and had a look at the various outputs of various fashion nutcases in um uh uh Instagram, and they have a uh a page called AI underscore fashion underscore NY New York. And it has several. Underscore fashion underscore NY New York. So what this is, is this is a this is a hashtag for a specific group of people that are really interested in producing AI-based fashion, which is very outrageous, and of course doesn't cost very much because quite simply you can just put various prompts in and various source material to reference and then out pops stuff that you know Helmut Newton would put in a book if it was 30 years ago, um, you know, and get paid a fortune for because the the composition is perfect, you know, it's avondo quality fashion photography, you know what I mean? Vogue stuff. Yeah. And and and and some of the stuff is completely outrageous, you know, uh things that look very futuristic. So I just selected a couple, and then I took that and I put it into DAO E and it gave me variations on that theme. So now I've taken something that somebody spent quite a long time producing with AI with various prompts, and they came up with a really stunning image that I thought, oh, this is good, but I don't want to use that that particular stunning image, I'd rather rather see a variation of it. And so I took a variation of it by basically putting it into DALI and saying make variations, and I found a variation I personally liked, which was very similar but not completely different. It was a different face, okay? And then I took that and put that into another AI program which takes photographs, and most people have seen this, they've seen, you know, the moment Lisa singing or whatever it is. So you can take a photograph and you can put that photograph into their system, and then you put a short phrase in there, and it'll talk. So that's exactly what I did. I took the I took the DALI image, which was a a variation of uh an image that I'd found on Instagram, but was completely unique and different to the original image from which it was originally, shall I say, extracted and transformed. And then I took that image and put that into I can't remember the name, but there's about four or five of these things which turn photographs into talking, you know, uh, and uh it it talked. And so from that point of view, you know, it's saying a promotional flaw for the film of the Planet Glee, which I then sent to Basil, and I said, Have a look at this one. Here's three or four, choose which whichever one you like, because at the end of the day, he wants to, you know, further that particular movie with a short uh you know, 20, 30 second uh you know, illustration of what the people on the Planet Glee actually looked like and sound like. You know, and we found a voice that was a very interesting Irish voice that gave the whole thing of sort of um you know uh uh Lord not Lord of the Rings, uh the uh a fantasy sort of Irish uh feel, you know, from these various new fantasies that are coming out and people are getting very excited about. So from that point of view, we now got a character that is speaking um that is largely completely composed of, you know, uh uh uh AI. Wow.

SPEAKER_05 20:34

Wow. I can send you a copy of that. Yes, I would love to see it. And it's uh otherworldly, out of this, something jurely out of this world, right?

SPEAKER_01 20:44

Yeah, I mean, because we've basically taken a pretty out-of-this world sort of fashion face, which you know, just to describe it, you know, and you'll probably be able to see it and go off to uh, you know, the blog page of from the heart, and we'll leave it there so people will be able to see it. Um and what it's doing is first of all, somebody created a great image. Um we made a variation of it, the variation was then animated uh to speak. And then, you know, it speaks for 20 seconds, and that's it. Now, can you make a whole movie like that? At the moment, no. But probably in around about a year you would.

SPEAKER_05 21:21

This is what a volume said is coming, and this is what he said to get ready for, because he said that forget the green screen, you don't need that. We're going to give you background, characters, dialogue. Uh and he showed us this is um I paid for uh Cayman to stream into the house so I could see him in a in a conference on AI and what's coming. And then he explained to us that all of this you can create. He showed us a video, Patrick, that was a drawing by a child. So it He put the video into AI and all of the characters his child drew came alive and started talking and uh there was a story and c they created a story and it became a film. And that's the future, he said.

SPEAKER_01 22:17

Oh absolutely. Well what's going to happen pretty fast is that everybody's going to have two of AI. There's going to be personal AI, which is everything that you ever do from the time you're born is going to be recorded by an AI. It's like a double ganger of you. And it knows everything that's ever happened to you. It's private and it's, you know, editable by you, but it's almost like your double ganger. But the key here is when we pass, nobody will be able to tell the difference between the double ganger and the original.

SPEAKER_04 23:10

So you'll always be around, though.

SPEAKER_01 23:13

Even the mother-in-law you want to get rid of.

SPEAKER_04 23:16

You can't. She's here forever, right?

SPEAKER_01 23:19

Well, the it's because it's got your voice, it's got your image, it knows how you make decisions, it's been with you since the day you were born.

SPEAKER_05 23:30

Wow. That's incredible.

SPEAKER_01 23:34

Well, no, no, no. That's right now.

SPEAKER_05 23:37

Ah!

SPEAKER_01 23:38

Absolutely. Right now. There's a fellow that was talking to Jordan Peterson about this very subject about three weeks ago. And, you know, we'll put that in the notes in the blog. The key really is that the intermediation between publicly available AIs, you know, those that check your bank account, make sure that you're not a fraudulent person, this, that, and the other, and your personal AI and your personal security are all concentric rings which are effectively your digital skin. That means everybody now, because they're intermediate devices, their smartphone, you know, you pay your bills with your smartphone, you check a restaurant with your smartphone, you call your friends, you find things, etc., etc. So you're already using it, and to a certain extent, it's using you. Because if you don't know what the product is, then you are the product, and that's what's been happening for the last 20 years with Google basically hoovering up vast amounts of data that they then sell to advertisers, and that's why they became the biggest advertising agency in the world. Most people think of Google as a search engine. No, no, no. It's it's an ad agency cleverly disguised as a search engine. That's what it is. Everybody's interested in Google, but Google's only interested in itself because the more times you look at Google, the more money they make. And so from that point of view, yes, they give you lots of free stuff, and it has been something that AI has been used on you, on everyone that's listening to this show, for the last 10, 15 years. They have been using AI to gather as much data on human beings that are using their system as is humanly possible, so they can sell it to advertisers. So, you know, if everybody's worried about the government and, you know, having information on URLs, that's not that that I'm not worried about that at all, you know, because that that's Google's business, not the government's business. Government's business is to make the trains work, you know. Google's business is to sell you stuff. There's lots more money in selling you stuff than there is in making the trains work. That's why Google is the most powerful organization on the internet, you know, and combined with Apple, with a smartphone, they are the big tech barons. But now the democratization of data has begun. And now the big boys are being forced to give up their data. So, to a certain extent, the work that we do is allowing businesses like yourself and other businesses that we work with to harvest their own data from Google, which Google actually allows you to get. So then you can use that data to make your business or your activity or your school or your university or whatever it is better because it will tell you how many people found you by searching on the map. Oh, I didn't know the map was so important. Oh, yeah, well, a lot of people look at the map. They don't look at search. And so all of these variations of how people found you, what did they do? Did they come to you with a train? Did they come to you uh, you know, but with a plane, did they come to you by driving? And how did they get there? And what did they do when they arrived, and so on and so forth? All that data is available. That every business, every school, every university can collect that data from Google. Very few do, but those that do tend to excel.

SPEAKER_05 27:07

Okay, well, let's get back to uh let's go back to Chat GPT, which is the beginning. I think that's what we let's start everyone with that. What you've given us is incredible information. Thank you very much. Uh it was easy to understand, and I I know our listeners will want to hear this again and and get the blog. And if you go to FromTheHeartproductions.com and look under blogs, then you would find the Art of Film Funding, where this will be housed as a recording. And then when you look under Caroline blogs, you'll find a a short blog, uh three-page blog that will give you some of the important issues written out.

SPEAKER_01 27:52

And the links and the links so that you'll be able to use the links that are on the blog to get your work done. Whether it's, you know, uh you want a uh I mean we have a page called gpt4more.com, and you can go there, and there's loads of free prompts uh for anything that you can possibly imagine, um, and it's perfectly free. Uh and and there'll be a guide on uh from the heart, and and and that's the key, you know, jump in and and and experiment. That's that's what it's uh that's what it's there for.

SPEAKER_05 28:24

Yes. Now um your website, Patrick, is HTTPS colon, backslash, backslash, aifocus.net. And that's where you'll find this section called Learn from Chat GPT. Uh GPT for more dot com. So you click on that and then you get into chat. But let's just uh go uh do the ABCs here, because what you have online says learn from chat GPT, explain clearly. Uh you you can tell chat to explain clearly or explain uniquely or explain detailed. I mean, these seem like very strange requests. So what's the difference between this?

SPEAKER_01 29:11

Yes, that's a very good question. And and and and the reason for that is context. If you provide ChatGPT with the correct context, so for example, we have a description that is 700 words uh about a service, let's say the service is um, you know, uh uh an advertising agency or for want of a better word. But we've only got two or three hundred words that we really want to use, and we want to get straight to the point. So in this way, we can go to ChatGPT and we could say, for argument's sake, take these words about this advertising agency and write it in a way that a seven-year-old will be able to understand. Well, what Chat GPT then will do is it will take whatever the concepts are that are in this bar and it will try and make it so that a seven-year-old will be able to understand it. Because the context of having the seven-year-old when it's being rewritten is the key to the result that you're actually looking for. So the more you can specify the context of the answer to the question or the job that you're looking to do, the more accurately and the more usefully the answer that comes back is likely to be. If that makes sense, yeah?

unknown 30:49

Okay.

SPEAKER_01 30:52

And what these new um uh uh their their um extensions for Chrome, so when you go after Chat GPT, you'll be asked, you know, you want to spend money, you've got to spend 20 bucks a month. Well, assume you have. The second stage to do is to look at all of the various Chrome extensions, and the extensions will allow you to do what's called multi-prompting because there's a whole massive mad group of people that are just prompt engineers, and they're creating all these different prompts for everything from microbiology to ancient Roman history to whatever the hell you know, it's just madness. And what they're doing is yeah, but true, it is madness. I mean, and and and they're and they're rated by the uh extension as to how popular their various their various prompts are. And there's prompts for absolutely everything you can possibly imagine accounting, uh, you know, statistics, uh, you know, uh physiology, medicine. I'm it it it just it boggles the mind, every conceivable area of human endeavor that you can possibly imagine. Someone's writing a prompt about it. You know, it's just like you know, from zero to a hundred million in six weeks, and now there's a there's a whole ecosystem around the world that is mushrooming at this, you know, hyper speed of people that are thinking, wow, that the the entire corpus of human understanding and knowledge is now available to me. What do I want to ask it? You know what I mean? You know, so what interests you may be uh interested. Oh, I'm really interested in what happened with the Keystone Cops in 1912. And the reason I reason I want to know this, I'm writing a dissertation in my uh essay about the Keystone Cops and the fact that they were not models on cops at all. They were models on the Pinkertons of the time, which was actually true. They were models on Pinkertons because those are the people that were chasing them for the copyright abuse that they were all right to another.

SPEAKER_06 32:57

Of course, of course, yeah.

SPEAKER_01 32:59

Yeah, Metro Golwyn and all those uh you know, Jewish boys from New York. Why do they go to California? For the sun? No. To get away from Pinkertons.

SPEAKER_05 33:09

Yes. Okay.

SPEAKER_01 33:12

Because they were fly swatting. They were basically going from one small little city to another, showing the movie, not paying any royalties, and then off they went, you see. That was the those were the first movies. Before movies were movies, they were shorts. You know, people would come to a tent, you know, the shorts would be played, trains would come towards the audience, all that stuff, you know, in the 1880s, 1890s, 1910s, then the industry happened. Now what's happening is that the democratization of movie making is now spreading to artificial intelligence. And that is allowing anybody with an imagination to visualize their imagination um with these new tools, DALI particularly, and and GPT, but there's hundreds of them now. You know, I mean, you can just open Instagram and you'll have people shouting at you about how you can make a fortune using this or that particular piece of uh AI technology, and to a certain extent, you know, there will be an explosion of creativity, but just like there was with music, just because there happens to be, you know, mass great uh you know machines for making all sorts of sounds, you know, it didn't take away the the work of the composer. Composers are still getting royalties, and filmmakers will still be getting royalties, and all of the creators will be getting royalties, except that there will be a much wider opportunity for the general public in in in general terms to uh you know to participate, which is just an extent what's already happening with the democratization of filmmaking in in terms of uh you know these uh these um you know uh uh influences, you know what I mean? Um uh and there's influences for everything.

SPEAKER_05 34:53

This is really important. This is what um uh Voyan was saying. We are democratizing filmmakers. You don't have to go through the no man anymore. Uh you can't you're not going to have to worry about them. It will be so inexpensive. We're gonna charge you a little bit, he said. I think the little bit is twenty dollars a month. Everybody wants to charge you twenty bucks a month for each program. But the point is that you can make your own films and then load them on your YouTube channel, set of Orion, and and make an income. Well, you have to have a thousand subscribers, right, on your channel. So getting to the thousand is uh that's hard work and that's what you do for people. That's how you've uh built our YouTube channel, right?

SPEAKER_01 35:45

Well, the if people are interested in your specific subject, whatever that may well be, then they will subscribe. And the key is consistency. So if you're for argument's sake, you know, uh a sound editor, or for argument's sake, you're uh visual effects editor, or whatever it is that you specialize in in the film industry and you want to be known for, and so therefore the more people that know you, the more jobs you're gonna get, etc. etc. Doesn't necessarily mean that you always have to have a thousand subscribers, but yes, it's more useful to have more subscribers. And if you know something that most people don't know, and you can describe it, and you can say, well, you know, I'm using this and I'm using that, and I'm doing this and I'm doing that, and here's what I've done recently, and there's an audience for whatever it is that you happen to be doing, you know, whether it's uh collecting bees, you know, around the world and then taking photographs of each bee and then, you know, describing how you caught it. Well, is there a market for that? Yes! Beekeepers all over the world go, oh yes, this guy's crazy, he's gone to Chile, he's gone to there, he's gone to Machu Picchu, he's caught bees from everywhere. So every beekeeper in the entire world is watching this channel. Well, that's good if whatever it is that you happen to be interested in selling to beekeepers is of of interest, and that's what YouTube is. It's a it's a hyperhive of vast numbers of specializations that many different people have. Anything that you want to know how to do, you can basically put it into YouTube. And that's very important because the 90% of the traffic that you're going to get is not going to come from search. It's going to come from suggested videos. And that's why you can't.

SPEAKER_05 37:37

Explain that suggested.

SPEAKER_01 37:39

Okay, well, that's that's what that's what we're here to talk about. So, what is a suggested video? Well, first of all, let's look at what most people do when they make a video. They don't do anything other than upload it and then they say something very one sentence or two sentences about it, and there it remains, you know, collecting effectively, you know, digital dust until it disappears because nobody's watching it and gets 60 views or 50 views. Now, what's the difference between those videos that get suggested by YouTube? We first of all must understand what it is that Google is, and that is it's an ad agency, cleverly disguised as a search engine. So the cleverly disguised part of the operation is the search that everybody's interested in being at the top of. Important, but not as important as suggested videos, because if you're watching a video about, for argument's sake, beekeeping, and then there's five other videos there that are potentially also of interest to you, then the one that is suggested to you is very important. And the reason that it's important is not for you or for the person watching it. No, it's important for YouTube to keep you looking at the ads. That's why we're here, right? To watch the ads. We're not here to do anything else other than watch the ads. Google is not concerned with the content, it's only concerned with whether the content is interesting enough to keep you watching on YouTube. And therein lies, as Shakespeare once said, the rub. Okay? And what is the rub? The rub is it can only choose from people that actually understand that and have actually written enough information about the video so that it becomes one of the shortlisted for being suggested. Because only those videos that have enough information can be shortlisted for those that are suggested. If Google doesn't understand what the video is about, how can it suggest it? It can't. And that means you need to put the information about the keywords into the transcript.

SPEAKER_05 40:00

So we go back to what you taught us earlier in the call. Now let's take the example that uh we did. You helped me with uh we are doing a video of of pictures and posters of 30 years of business of helping filmmakers with From the Heart. And I had written a little uh a bit of copy. So I gave it to Patrick and said, uh, what do you think of this copy? Are there any keywords or long tail keywords in here? And you came back and said, oddly enough, um, nurture and support. I always say that to filmmakers, that's what we're here for. And and Google liked that. So I put that first in the video. That line w was later in the copy, but I moved it to the beginning, and then um, I think filmmakers raise the consciousness of the planet with the work they do. That was in there, and Google loved raise the consciousness, so I moved them towards the front. Who would have thought those would be keywords?

SPEAKER_01 41:15

Well, they're not highly popular keywords, and that's the point. You have to find them because the number of people that are looking for them is relatively small, but cumulatively there's a lot of people there. And I said And that's all we're interested in. We're interested, I mean, if you can use a word that is not so often used, but does mean the same thing, then it's more than likely, and you can check this yourself, so anybody listening, if you're interested in a specific keyword, find all the variations of the keyword, go off to bid IQ, and then you'll see where is the low-lying fruit. And let's assume you found the low-lying fruit. Once you found the low-lying fruit, i.e. bid IQ or whatever it is that you're using to determine, you know, the competition and the uh frequency of uh search, you can then look further with your own eyes. And it's easy. So you've got a bunch of keywords such as for arguments say documentary filmmakers funding, whatever. And you then look at the top of that particular keyword, documentary film funding. And what do we see here? Oh, we see lots of old videos, two years old, three years old, five years old. What does that tell us? It tells us there's no competition, and we're more than likely to get a top three position because of a very important term, and that's another lesson to be learned here. Recency. Okay, it's a new word. Recency. What does it mean? It means when was this published? Because the only thing Google is really interested in, if you really want to succeed on them, whether you're a website, whether you're a Google Business page, or whether you're a YouTube channel, well, more importantly, if you're a YouTube channel, is am I a consistent publisher? And being a consistent publisher means putting out a couple of videos at least a month, and some people are putting out two and three a day, but generally speaking, it's you know two or three a month, or four or five a month, depending on how often. They don't be long, it can be ten minutes, fifteen minutes, but the point is that consistency builds up what we call channel authority. And what does channel authority confer? It confers reaching for the higher fruit. So at the beginning, you can only go for keywords that are relatively low competition and maybe not so many people looking for them. After you've got your channel authority in whichever niche you happen to be in, you know, it can be grain. features, it can be, you know, uh, you know, how how how to uh uh you know how how to grow vast numbers of earthworms, it can be, you know, uh children's programs, it can be whatever it is that you're interested in. Those areas acquire authority. And because they acquire authority, they're more likely to be suggested in the great suggestion race of everybody's trying to get their videos suggested. So if you've got a high authority channel and you're publishing two to three times a month, then effectively your channel begins to grow. And you grow subscribers, Google has a look at that and it says well you're an authority on you know uh earthworm production uh it seems like most people that want to know anything about earthworms they need to come to your channel you've got a a a a whole comprehensive uh area of uh you know everything you you can possibly imagine about earthworms we're going to suggest to you more often and once that happens then you're basically turbocharging your channel but it's a lot of work at the beginning to get that done and now of course with GPT4 and the various AI tools that you have at your disposal it's a less work but more uh what I would call um uh intelligent work work that requires higher reasoning capabilities because you have to be able to reason your way through what it is that you're trying to do using various principles that you know you can find on the from the heart uh uh blog page once you've found those principles then you burrow away into your niche and see who's there how much competition is there is it worth your time money and effort to actually exploit this niche if it is you know you then follow the rules and many of those rules are already uh widely available on vidIQ and you can go to vidIQ and and get an education on on on how this all happens and it is something that is a bit tedious but at the at the end of the day using the new tools that are available makes it a lot less tedious than it once was yes it does and it's also the future because if uh you look if uh you look at the filmmakers world um this will allow filmmakers uh documentarians and feature filmmakers and charts to make films on subjects that have a market even though it's a small niche market but by being able to uh capitalize on the keywords and reach that audience through Google finding them through the keywords and directing it to their audience they can make some sort of a return on investment once they uh get into a position to monetize the views correct absolutely yes that is true that is true um you know the influencer business is find a niche and exploit it and that can be anything in real terms there's if you name the niche there's somebody you know uh uh in that area you know whether it's children's uh splodging you know with with with various squidgy things you know there's people that are getting four million views uh to to to to to to to to to be able to learn how to make you know sparkling slime did you know four million people are interested in making sparkling slime right and okay and the people that make the smart the spark smart s the the sparkling slime usually somewhere between eight and nine you know with mother there and then there's the various items that are needed you know the sparkle and then there's the making of the slime and then there's the fashioning of the slime and then there's pictures of people with the slime and you know four million people look at this. Uh it's it's amazing. Yeah but true and then there's you know uh w will it uh will it um um uh uh w w will it blend? Have you heard of will it blend no well will it blend is every conceivable item for the last ten years that you can possibly imagine. Vacuum cleaners, iPhones, rubber tires it's a blending machine that somebody with a 1950s haircut and a sort of uh overweight person comes forward with a blender called will it blend and then puts an iPhone into the blender and blends it every single iPhone since the very first iPhone has been blended. Not only have iPhones been blended every conceivable type of household item has been blended chests of drawers have been blended. Oh my gosh small cushions have been blended um you know iPhones iPads PCs in parts uh you know uh and and this guy just goes oh I have an iPhone over here and this is the world's most powerful blender and I'm gonna put this iPhone in the blender he puts the iPhone in the blender presses blend and says we're blend and and people love it right the company is worth five hundred million dollars oh Patrick that's incredible no no no no no no no no that's what it is that's the only advertising they do they don't do anything else it's a total will it blend yeah yeah and a GPT phenomenon okay oh my gosh well Patrick It's just the business of various niches so once you've found your niche with whatever subject you're interested in and you've seen the competition and you've got the long tail keywords from GPT four then you can make a decision am I going to be making four videos a month uh uh on this on on these various subjects uh you know that that I found out about and if the answer to that is yes then you have a reasonable chance because there's not a lot of competition you've done your homework just like any other area of of life the more research you do about the area that you're interested in exploiting the more likely you are to succeed right okay this is brilliant and Patrick we're out of time but thank you so much for all this information and let's uh let us have your uh website again please it's A for Apple I for India focus ai focus dot net and you know if you just go over there you'll just see lots of free prompts uh examples free avatars lots of free stuff have a look see what you think and if you want more information then from the heart uh blog is the place to be and what we'll do is we'll post a lot of the links that we mentioned in the show on the blog and that will be available in a couple of days I think is that about right yes that's exactly right and anyone who's interested in building your own YouTube channel I highly recommend Patrick he knows where the long tail keywords are well yeah I know I know where to look for them. It's GPG4 that actually provided them yeah so there we are. But if you if you know how to if you know how to use the tools you're one step ahead of people that don't know. And that's really what life's all about. Anyway I appreciate your recommendation I thank you uh for that and um I look forward to you know any questions that anybody has I'm sure that uh you know you can post them and um Carol can then you know help you in the right direction.

SPEAKER_02 52:41

And of course she is the uh the mother to m m m more movies than I uh uh could say I can stick at thank you so much Patrick Claire Yes I I have to say Patrick I have to say that um this was so packed full of information I'm gonna have to go back and listen to this a couple more times just to take more notes and and absorb more of this that you shared. Thank you so much.

SPEAKER_01 53:15

G GPT four and the AI revolution that happened in November of 2022 will go down in history as one of the major events of our time. I mean probably bigger than you know Donald Trump or the war in Ukraine or any of those things. It'll be it's it it's it's an iPhone moment.

SPEAKER_02 53:36

It really is it really is and and and and and the reverberations of what has taken place in November of twenty two now as we uh are in July of uh twenty three will will will reverberate across the next ten years incredible right that's incredible information thank you for your kindness and sharing all this information and thank you Claire for helping with the show lots of good luck to everybody and we'll see you again in the future look on the website and we'll have a uh blog for you and a link to the show thank you Patrick thank you Claire you're welcome okay be well everyone bye yes thank you bye bye now in its second edition Carol Dean's popular book The Art of Film Funding has 12 new chapters to cover all areas of film financing and how to avoid expensive pitfalls. Learn how to start with an idea and end with a trailer how to make an ask for money create your story structure and your trailer legal advice fair use successful crowdfunding ask for music rights and what insurance you can't shoot without available on Amazon under Carol Dean and at FromTheheartproductions.com I want to remind our listeners that David Raiklan is a brilliant and talented award-winning musician who scores films and can compose music for a trio or for a full orchestra David is a very good friend to the independent filmmaker and comes highly recommended by From the Heart Productions. If you need music to help tell your story please contact him at davidrakeln.com That's davidraikl.com and Carol and I want to thank you for tuning in to the Art of Film Funding. Please visit our website at From theheartproductions.com you can also find us on Facebook and Twitter.

SPEAKER_03 55:46

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