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Story Scaling: AI's Promises and Pitfalls · Story Scaling

• 0:00
  Speaker 1: We are podcastvideoscom.
• 0:01
  Speaker 1: Our goal is to educate, enlighten, engage and entertain.
• 0:05
  Speaker 1: We believe in the power of love and transformation through storytelling.
• 0:08
  Speaker 1: Ladies and gentlemen, boys and girls, friends and family, welcome back to Story Scaling.
• 0:17
  Speaker 1: I'm Bang, and to my right I have Bob and Dan and Sam.
• 0:21
  Speaker 1: As you can see, we are a little bit shorthanded today.
• 0:23
  Speaker 1: Shout out to Nate Parker and Eric.
• 0:26
  Speaker 1: They will not be joining us, but I think we've got a good topic.
• 0:29
  Speaker 3: I feel good about it, it's kicking off and we've got.
• 0:31
  Speaker 3: We couldn't fit everybody in this room, which nobody's seen yet from this side of the camera, the lounge studio, the more chill version of the formal round table you usually see us at, but all we fit in here is four chairs, so perfect time when we're a little shorthanded.
• 0:48
  Speaker 3: It really worked out.
• 0:49
  Speaker 1: Show everybody what this looks like we don't have to share mics.
• 0:51
  Speaker 1: It's great.
• 0:51
  Speaker 1: Oh, yes, that is a good point.
• 0:55
  Speaker 1: These are shotgun mics, which you guys probably haven't seen, but no mic on the table, but audio will be crisp and clear because you know we got the best of the best of here.
• 1:04
  Speaker 1: These chairs are comfy too.
• 1:05
  Speaker 1: They are pretty nice.
• 1:07
  Speaker 3: Yeah, I can nap in here.
• 1:09
  Speaker 3: Yeah, turn the lights out.
• 1:10
  Speaker 3: Yeah.
• 1:11
  Speaker 3: So it's probably worth explaining to them that they really can't see.
• 1:16
  Speaker 3: They're used to seeing the cameras, they're used to seeing the mics.
• 1:30
  Speaker 4: It's all up above us.
• 1:30
  Speaker 4: The cameras are in from outside and they're up high and the shotgun mics are basically hung from the ceiling point downward.
• 1:32
  Speaker 3: That's why why they're not from.
• 1:32
  Speaker 3: You might see a little bit of one right here, yeah, but for the most part they're.
• 1:34
  Speaker 3: Yeah, the wide angle may give us a little bit, but yeah, it's just a very different look than than they're used to from our podcast or a lot of our recordings out of the I don't know what we call conference room and from my understanding that was the goal for us to feel like more of a relaxed, conversational dialogue type of situation We've called it talk show, we've called it lounge, we've called it yeah, but a few different names.
• 1:54
  Speaker 4: Well, we've got another studio that they haven't seen either, which is more of our news desk, where you're talking more directly into the camera, getting a close feeling with your audience members.
• 2:05
  Speaker 3: Like the anchor desk from Yep.
• 2:06
  Speaker 3: Yeah, that's something we could slam for people into, but it's really pretty comfortable too.
• 2:11
  Speaker 1: Yeah, similar setup shotgun, mike, we do have the names, like you were saying, this kind of give a reporter feel.
• 2:17
  Speaker 1: So basically we got a lot of different stuff as well.
• 2:21
  Speaker 3: We're trying to tell you you, and there's the solo studio.
• 2:22
  Speaker 3: But if you see us recording one of these out of the stolen solo studio, we're real shorthanded all right, we are jumping into our topic of the day artificial intelligence.
• 2:35
  Speaker 1: Artificial intelligence, and not a bad word, contrary to popular belief.
• 2:37
  Speaker 1: But what comes to mind when?
• 2:40
  Speaker 1: When you hear ai, what's the price thing that comes to your mind, bob?
• 2:44
  Speaker 4: so the first thing that comes to my mind is ChatG.
• 2:46
  Speaker 4: Right, chatgpt first one to the market.
• 2:49
  Speaker 4: Everyone's using it.
• 2:51
  Speaker 4: Generative AI, which really kind of helps pull some of your content together.
• 3:00
  Speaker 4: You can give it all kinds of commands.
• 3:02
  Speaker 4: It's getting smarter and more capable every day.
• 3:04
  Speaker 4: Um, but yeah, that's really what most people think about.
• 3:07
  Speaker 3: Yeah, yeah, we'll come see your mother.
• 3:09
  Speaker 3: I'm gonna go old school because first thing that comes to my mind is skynet and arnold schwarzenegger as the terminators.
• 3:15
  Speaker 3: That was, that was the.
• 3:16
  Speaker 3: That was how I was introduced to ai.
• 3:18
  Speaker 3: It was supposed to be scary and possibly taking over the world, so have your thoughts changed.
• 3:25
  Speaker 3: Yes, oh, I love the chat.
• 3:28
  Speaker 3: The more you can learn how to prompt it, the more you can do with it, and that's for research, that's for sourcing additional material.
• 3:37
  Speaker 3: It's very cool and it's really the first thing I think a lot of people think of in AI.
• 3:42
  Speaker 3: But there's a lot more out there.
• 3:44
  Speaker 3: A lot of it's more background.
• 3:45
  Speaker 3: They're they're they're doing cross the scene on the audio and video files there.
• 3:49
  Speaker 3: They're doing scrapes for better Google searches.
• 3:54
  Speaker 3: Behind the scenes you don't see it working, but it's.
• 3:56
  Speaker 3: It's there in the backbone of things already, I think, a lot more than most people realize.
• 4:01
  Speaker 2: Yeah, yeah, yeah, I would agree.
• 4:02
  Speaker 2: I think people think it's this new thing and they don't understand that it's already been here for years.
• 4:07
  Speaker 1: It's just not as front-facing as we've been yeah, so what do you think about it?
• 4:11
  Speaker 1: Why wouldn't somebody mention it?
• 4:13
  Speaker 2: I mean, yeah, my brain goes to chat GPT.
• 4:15
  Speaker 2: I mean I'm more closely associated with the school setting and so it's usually like, oh, don't say it too loud, or you know, people use that in school.
• 4:25
  Speaker 2: But yeah, I think it's great and it should be used as a tool Totally.
• 4:30
  Speaker 3: You know, Now there's still some ethics issues around it and some concerns about accuracy in certain places, and I think a lot of that is because not because the chat isn't smart enough itself, but because the information it goes and finds may not necessarily be accurate yeah, Whether it's wrong or out of date or mistranslated in some cases, because that's another place where AI is really helping translation softwares to become a lot more accurate, a lot cleaner.
• 4:58
  Speaker 3: Jump into some.
• 5:01
  Speaker 3: There have been translation softwares for the major languages, but the AI really has helped bring some of those smaller languages, a lot of the African dialects and the Oceanics that there wasn't a whole lot available for.
• 5:11
  Speaker 3: The AI is really helping push those translations forward.
• 5:15
  Speaker 1: Did you say African dialects and Oceanics?
• 5:18
  Speaker 1: Dang Dan, he's knowledgeable.
• 5:23
  Speaker 1: Yeah, knowledgeable Dan, over here kicking some knowledge.
• 5:25
  Speaker 1: Dialect, dan, dialect dan.
• 5:29
  Speaker 1: I like that.
• 5:29
  Speaker 1: Shout out parker.
• 5:32
  Speaker 1: I think when I think ai, you guys like I'm kind of like there, my brain just automatically defausts to like, oh, shoot, this music take over.
• 5:40
  Speaker 1: You know what I mean.
• 5:40
  Speaker 1: Like and I don't know why, like I'm that bad, I don't know why I just like I.
• 5:45
  Speaker 1: I instantly go to like, oh crap, you know computers are gonna take over the world.
• 5:51
  Speaker 1: They don't turn us into computers like um, but it's so interesting, kind of to your point then.
• 5:56
  Speaker 1: It's like artificial intelligence is ingratiated in almost every single facet of our lives, even when you're texting somebody or sending an email and you type in hope and then the problem says this email finds you.
• 6:11
  Speaker 1: Well, that's artificial intelligence, generating the last form of that sentence for you based off of, or even when you're texting.
• 6:19
  Speaker 1: It's just crazy to think about it.
• 6:22
  Speaker 1: So my perspective has changed since you know, kind of working here and just realizing to your point, sam has been around forever.
• 6:31
  Speaker 1: It just wasn't as front facing.
• 6:34
  Speaker 1: Have you guys had a perspective shift in any way?
• 6:38
  Speaker 1: Whether, um, it's something that you're like, ok, I knew the power of it, but I didn't understand it to this gravity.
• 6:43
  Speaker 1: Or, in my case, where it was like man, I was a little bit hesitant.
• 6:46
  Speaker 1: But working with it, familiarizing myself with it, has caused it to feel a little bit less intimidating.
• 6:51
  Speaker 4: Yes, I'll take there.
• 6:53
  Speaker 4: There's two points come to mind on that.
• 6:54
  Speaker 4: One is to Dan's point learning how to prompt it to where it's not just giving you information but you can tell it to do stuff.
• 7:05
  Speaker 4: You can tell it to implement certain tasks for you, such as building a table out of the data that it can pull so it can do the formatting for you, things like that.
• 7:14
  Speaker 4: The other point that comes to mind is really I don't want to use the term AI as much as I want to talk about automation, so taking tasks that people used to have to do manually and automating those processes for them.
• 7:33
  Speaker 4: So in our world we'll talk about video and audio editing.
• 7:37
  Speaker 4: So in this room we've got five cameras rolling right now cameras rolling right now.
• 7:47
  Speaker 4: So in the podcast industry, while it's still relatively new, these things start changing super fast and we're trying to keep up with the changes all the time.
• 7:53
  Speaker 4: The ability for the software to change camera angles based on who's talking, to try and do the cuts automatically here.
• 8:02
  Speaker 4: So there's a lot of software out there that can do that.
• 8:04
  Speaker 4: Now we're still learning what the full capabilities are and then whether they're good enough yet to help streamline our processes.
• 8:14
  Speaker 3: So that's really about automating some of the things that used to take us a lot of time and trying to figure out how to leverage them to scale them up and by the time we're done deciding among 10, which is going to work the best and then implementing it, we probably need to go back and look at everybody's updates, because it is changing that way.
• 8:32
  Speaker 2: I think one of the biggest debates, especially in the creative industries with AI, is that balance between automation processes and creative control.
• 8:40
  Speaker 2: How much do you let the AI make the decision and how much is it important that somebody's eyes are actually?
• 8:47
  Speaker 2: On it, sam, you're getting into a very, very touchy subject, yeah and I, and I mean I mean I'm sure you feel in the music background.
• 8:54
  Speaker 2: Oh my gosh, you guys like I'm gonna talk about fools.
• 8:58
  Speaker 1: Why are you two non-steroids?
• 8:59
  Speaker 1: Well, where do you well that?
• 9:00
  Speaker 1: I think that opens the door to a bigger question, like, like, what are some of the cons?
• 9:05
  Speaker 1: And where do you personally think like, is there a line?
• 9:08
  Speaker 1: You know what I mean, because, to Sam's point, you know there have been, in this last six months, artists who have had AI albums with their likeness released on the market and it's like you know take Drake, for example Like people are putting out in full lengthlength projects of drake's music all artificial intelligence.
• 9:27
  Speaker 1: And if you didn't know any better, you would think like oh shoot, you know this.
• 9:31
  Speaker 1: This actually sounds like him.
• 9:33
  Speaker 1: Uh, he actually came under fire because he was in a rap you know beef with another artist and he got two verses from people one post, obviously, one living and he used two verses from people one post-Homelessly, one living and he used artificial intelligence to generate these verses.
• 9:48
  Speaker 1: But again, it sounded just like actual people.
• 9:52
  Speaker 3: And so it's like there was a podcast a while back that put together an entire comedy routine based on using AI to imitate the voice of dead comedian George Carlin.
• 10:03
  Speaker 2: Wow, george Carlin's estate sued them and yeah, got podcast taken down, got a nice settlement like all the terms were disclosed, but uh, they landed on um, the use of those voices hard yeah, I think the like general consensus as far as like legality is concerned now is that it's you know someone's private name and image, like likeness and image is their own to to keep.
• 10:28
  Speaker 2: It's just so hard to regulate totally.
• 10:30
  Speaker 2: You talk about all those songs on tiktok like they're not going to go through and take down every single one because it's creating views and it's creating a trust issue, I think within the general public too.
• 10:40
  Speaker 3: Yeah, the other term we you're throwing around with this is deep fake and uh, can I trust that?
• 10:44
  Speaker 3: What I'm seeing is is what truly happened, or is he is ai just creating this out of nothings?
• 10:49
  Speaker 3: You know we're back to oh my god, sky net terminators all right.
• 10:52
  Speaker 1: Yeah, I mean, it's a very real concern.
• 10:54
  Speaker 1: I think about two things.
• 10:56
  Speaker 1: I've seen elon musk posting video the other day uh, a potential presidential candidate and it's a like three minute video of a speech and it's all artificial intelligence like.
• 11:08
  Speaker 1: And you're watching this.
• 11:10
  Speaker 1: It really looks like them.
• 11:11
  Speaker 1: It sounds like them and to people who have you know the mindset to think about this, like, okay, let me just confirm and make sure, but a lot of people aren't going to do deep research like that, like they're going to look at something and take it for face value and so, especially when you have somebody with that kind of influence that you, you, you haven't you already have somewhat of a trust built in these personalities, so you assume that what they're putting out is is verified and accurate totally, and it's not always the case, yeah the only thing is, I mean ai.
• 11:43
  Speaker 3: Ai is a very hot chart right now.
• 11:44
  Speaker 3: Ai is just another way to leverage technology.
• 11:49
  Speaker 3: There was a time when the cloud was the thing that was going to change the entire world.
• 11:57
  Speaker 3: There was a time when the word fiber optic was the hot buzzword that was going to change the way everybody thought about.
• 12:03
  Speaker 3: Everything was the hot buzzword that was going to change the way everybody thought about everything.
• 12:06
  Speaker 3: So I think AI is a big discussion point now, but eventually it's just going to be lumped into the broader technology field and they'll probably come up with something else that's even cooler and weirder and that everybody will forget about AI and consider it a more established part of technology as they come up with, I would say, something like Tupac's hologram, but even that's been done already.
• 12:29
  Speaker 2: They're just walking around with their VR headsets on and can't look at each other.
• 12:32
  Speaker 3: Yeah, stumbling into each other, yeah.
• 12:34
  Speaker 3: Ai will be a distant thought, or they'll start coming with radars so we can avoid each other.
• 12:40
  Speaker 3: True.
• 12:41
  Speaker 4: Or take it a step further.
• 12:42
  Speaker 4: You never actually move, you just think you are.
• 12:46
  Speaker 2: Ready player one type vibe right there.
• 12:48
  Speaker 2: Bang what she's thinking about.
• 12:52
  Speaker 2: We're struggling, y'all.
• 12:55
  Speaker 1: I'm struggling, struggling, you guys.
• 12:57
  Speaker 1: I feel like everything y'all are saying is actually, I mean, it could potentially happen.
• 13:02
  Speaker 1: You know what I mean?
• 13:03
  Speaker 1: I think, kind of what you were saying, sam, it was a music, I mean a film festival that came under fire because, you know, this is a film festival.
• 13:12
  Speaker 1: That's where you go and you showcase the work that the directors and the writers and the actors have put countless time into.
• 13:18
  Speaker 1: And this one company submitted a film completely generated by artificial intelligence.
• 13:25
  Speaker 1: Every day, the script, actors, directors, it was all AI generated and they got a lot of flack for that.
• 13:35
  Speaker 1: Ai generated and, uh, they got a lot of flack for that.
• 13:37
  Speaker 1: And so my question is does that take away creative control from you know, or jobs from the creatives?
• 13:44
  Speaker 1: Is it something that we should be celebrating?
• 13:47
  Speaker 1: Because, man, how far we've come in technological advancements, to where we can do entire films without you know what I mean.
• 13:54
  Speaker 3: If you look at it from a traditional sense.
• 13:56
  Speaker 3: Yeah, it's taking jobs away from creators.
• 13:57
  Speaker 3: The adobe stock images I used to pull for our websites at least half of that is ai generated uh, and that's you know, professional photographers who are struggling to compete against a computer who has no overhead, no gear.
• 14:09
  Speaker 3: Yeah, that from from the idea of an actor or a script writer in the traditional sense.
• 14:17
  Speaker 3: Yeah, that job has been taken over by a computer.
• 14:19
  Speaker 3: Is it a better way to make a movie for the betterment of Hollywood and or humanity?
• 14:25
  Speaker 3: I don't think it worked there, but I don't know If Kobe Bryant can win an Oscar.
• 14:31
  Speaker 3: Anything is possible.
• 14:33
  Speaker 4: So to me it's a matter of just with any technology, even if you look back to the early 1900s there's always with every advancement there's a way to use it for good, and then there's a way to miss you.
• 14:48
  Speaker 4: So in our industry, it's about trying to find the right way to use it to better streamline the process, to hopefully lower the cost of producing podcasts for our clients and getting real content out there.
• 15:04
  Speaker 4: We're not trying to fake content, we're not trying to make stuff up.
• 15:08
  Speaker 4: We're trying to use it to streamline the process and we're constantly evaluating that.
• 15:14
  Speaker 2: One of our big goals this year as a organization is to try and find the right ways to use there so final word man, I think not to get too technical, but to your point and to your question, it really comes down to that what's it taking from right?
• 15:35
  Speaker 2: I can't create anything new, it just can pull from other resources.
• 15:39
  Speaker 2: And so that kind of it funnels down to like who owns that copyright?
• 15:43
  Speaker 2: Whose work are you stealing you?
• 15:45
  Speaker 2: know, in quotations and that's the balance and everything in music and podcasting and creating those songs.
• 15:51
  Speaker 2: I mean, you talked film festival.
• 15:54
  Speaker 2: There's a photographer that submitted an AI-generated photo and it won a national award.
• 15:59
  Speaker 2: Didn't tell them it was AI-generated.
• 16:01
  Speaker 2: I don't really want right and it's like how can we tell the difference?
• 16:07
  Speaker 3: Then should we be arguing over this difference or not?
• 16:11
  Speaker 2: Yeah, is that acceptable?
• 16:12
  Speaker 2: Is it the AI's work?
• 16:14
  Speaker 2: Is it the owner who put in the prompt?
• 16:16
  Speaker 2: Who's working?
• 16:16
  Speaker 2: Is it pulling from it's just it's a tricky lie to, like bob said.
• 16:19
  Speaker 2: I mean, it's not like we haven't seen something like this before.
• 16:23
  Speaker 2: Technology advances.
• 16:24
  Speaker 2: It's always that balance between allowing for creative freedom and to build off of one another, but also ensuring that people get um the credit and the compensation that they deserve, yeah, and making sure that good stories are still being told and art's still being produced.
• 16:43
  Speaker 3: We've had a discussion even here that Google's algorithms are looking for new content coming into the internet fresh build.
• 16:52
  Speaker 3: It is smart enough to tell what's ai generated, what's not, and so it can decide it wants real human-built content to be bigger.
• 17:02
  Speaker 3: It will still read the ai content, but part of the reason google wants so much fresh content coming in is because ai is so quick.
• 17:10
  Speaker 3: It's already read the entire internet.
• 17:11
  Speaker 3: Everything that's out there is already categorized and set in the ai brains and it's the new stuff that it's begging.
• 17:20
  Speaker 3: Didn't you want?
• 17:21
  Speaker 1: a lot to learn a lot to learn but you don't have to, we'll do it for you.
• 17:28
  Speaker 1: No, seriously, you guys, good conversation.
• 17:32
  Speaker 1: Um, I'm feeling good about it, bob, especially in terms of you just saying it's a tool that can be used for good work, or you can miss the tool, and so the more you educate yourself, the more confident you can feel, the more you can exact this tool on your processes.
• 17:48
  Speaker 1: Go to a successful podcast or whatever you need to build.
• 17:53
  Speaker 3: And that's it.
• 17:53
  Speaker 3: We'll get the bloody knuckles for you.
• 17:55
  Speaker 3: We use the tool and figure out how it works.
• 17:58
  Speaker 4: Right, there's been something you've been waiting to say for 13,.
• 18:01
  Speaker 4: What was it?
• 18:01
  Speaker 4: 13 or 30 years?
• 18:05
  Speaker 3: Yeah, but I've already decided I'm going to scrap that one because I think it's more appropriate that the ending is simply hasta la vista, baby, I hate that one.
• 18:12
  Speaker 1: That's it, thanks guys.
• 18:15
  Speaker 1: See you next time All.