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Meta has just released what they are calling MovieGen. This is a new video model out of Meta. This is exciting for me. I'm going to be showing demos, talking about it, breaking down everything that they're working on. Because this is the first time that we've seen Meta seriously jump into the video industry. Before this, we've seen them working on a bunch of stuff, most importantly a lot of open source stuff. So it's pretty exciting what they're working on, but this is the first big jump for them into the video space. And, and so we're going to be covering everything that they're working on before we get into that. If you are interested in AI and side hustles and using some of these tools we talk about in the podcast to make money, whether that's to grow your business or to make money from side hustles, I would love for you to join the AI Hustle School community. This is something where I create exclusive videos you won't see anywhere else every single week, breaking down the exact tools, strategies and things I'm doing to make money with AI tools online. It's at AI Hustle School Community. Link is in the Description. It's. It's $19 a month. In the future I'll change that probably to be a hundred dollars, but for now, if you lock in the price, it'll never raise on you, I would love to have you as a member of the community. Okay, let's talk about what we're seeing out of Meta. So the first thing I have to start this off with is an absolutely ridiculous comment in an article from TechCrunch on this. TechCrunch said no one really knows what generative video models are useful for just yet. But that hasn't stopped Companies like Runway, OpenAI and Meta from pouring millions into developing them. Okay, the first thing I want to say is this is absolutely ridiculous. There's plenty of things to criticize with these video models. Primarily, you can criticize where they're getting their data from. You can criticize. Maybe they're not that good. You can criticize. They don't understand physics yet. There's a lot of things to criticize I wouldn't criticize. I think this is the most ridiculous take that. No one knows what these are useful for yet. Okay, let me tell you what they're useful for. Everyone in Hollywood is secretly or openly trying to use them to save hundreds of millions of dollars in film costs. These things could generate amazing videos. And sometimes it's not just about like the video on the screen that you're looking at. But you might imagine like where there's a shot where there's a TV in the background and they want to have licenses to whatever the mov the images or the videos are on that TV in the background. They could generate something with AI. They don't have to worry about getting any sort of licenses. Like there's all sorts of little things like that. But. And that's especially when the models aren't as good. But as these models are getting better and better, we're seeing actual film studios embedding them into, you know, $300 million films are using snippets from some of these AI tools because some of them are pretty decent. And if they can even get one or two shots in there, that's saving hundreds of thousands of dollars. So that's like the big Hollywood. Then of course we have the entire side of this where it's like YouTubers B roll. Hello. People spend thousands of dollars buying B roll. I used to work in a marketing department. We had to get licenses for the B roll of our videos. Okay. So obviously this is very useful. I'll get off of my, my rant on that. Let's talk about what they're actually doing here. So this meta had a whole breakdown of this where they're talking about, you know, what this can, what these things can actually do. They shared a video of of course, Hippo swimming around in the water. Viral Hippo. So yeah. Anyways, it's interesting though because it's like swimming in the water and the shots from taken from under the water. So it's showing a couple different physics properties. Now the thing that I find the most impressive about what Meta's doing is beyond just the video, which is like, okay, this isn't an incredible video. They're doing something new that I've not seen a lot of other people do, and that is that they're doing video and audio generation. So they said in their release, they said, finally, we trained a 13 billion parameter audio generation model that can take a video and option and optional text prompts and generate high quality, high fidelity audio up to 45 seconds, including ambient sounds, sound effects and instrumental background music all synced to the video's content. So to me, this is amazing. And they showed a demo where they actually had a person riding a quad in the desert and you could hear like the actual sound of the quad. Okay. So the prompt for that was an atv. ENGINE ROARS AND ACCELERATES WITH GUITAR MUSIC so they have the guitar Music. They have the quad, they have the atv. Is it like a perfect video? No. Hopefully they get there, we'll see. But all this to say is really impressive when they're starting to pair these two models is becoming so much more useful. They showed a bunch of really interesting demos as well, where essentially they're able to take a video and change the background. So they have a kid releasing a lantern, the background's changing. They have a dog chewing on a stick. All of a sudden the dog's wearing a pink hat and pink clothes. So they're dynamically changing these videos, which is really impressive. The other thing that I think is really interesting is how they're able to personalize some of these videos. They have this, this thing where they support video generation that takes a person's image and is able to make the girl, all of a sudden she's playing music, she's a DJ and a cheetah in the background. But it was just taken from the girl's photo. So I think that's really interesting. You're able to change the style. So they have some penguins that are in the desert or in the, in the Arctic and they say changes to a pencil style and all of a sudden the background becomes a pencil style. So I think that the demos are really impressive. There's a lot of really interesting things that they're actually able to, to do with this beyond just making, you know, some sort of video. They're able to do a lot of different styles, they're adding the audio. A lot of exciting things are happening in this. They, they highlighted something interesting which they said is kind of like talking about behind the curtains. They said as the most advanced and immersive storytelling suite of models, Movie Gen has the capabilities of creating video generation, personalized video generation, precise video editing and, and audio generation. We've combined these models or we've trained these models on a combination of licensed and publicly available data sets. Okay, this is what everyone wants to talk about is the data set and where they're actually getting this from. Because people are criticizing Runway of using YouTube and other. And also OpenAI sora was heavily criticized for using YouTube. And when they were asked point blank about it, Miria, who now has left the company by the Wall Street Journal was like, ah, I don't know, I have to get back to you when it comes to where we're actually getting our data from. So that's sort of dubious. One thing that I did think was interesting that TechCrunch speculates when it comes to where they're actually training this from. Because they say that they're coming from a combination of licensed and publicly available data sets. TechCrunch says, quote, we can only guess this means a lot of Instagram and Facebook videos, plus some partner stuff and lots of other things that are inadequately protected from scape scrapers, aka quote, unquote, publicly available. So. So YouTube is one that comes to mind. It'd be interesting. But YouTube themselves have said that they don't want people to actually do this. So it'll be interesting to see if they're actually getting stuff from YouTube. There's a bunch of other competitors in this space. Like we mentioned Runway OpenAI and Runway is the one that really is quite publicly available and is making, you know, they have all sorts of interesting, all sorts of interesting things where they're, you know, giving away $5 million to fund 100 films using AI generated videos. They're really pushing the industry and Runway is a great tool. If you want to test out an AI generation tool, I would highly recommend getting your feet wet with Runway as it's publicly available. It's exciting. When Meta releases this, the thing that I don't love is, is all of the look. We have this cool functionality but you can't use it yet. So it's hard to know if this is actually true. Google kind of burned us back in the day by releasing some fake doctored demos where you don't actually know if this is cherry picked or if their models are generally capable of making some of this stuff. So I think Meta does have a bit of a leg up where they have the Facebook and Instagram data set to pull from the other people do not. So I'd be very impressed. I'd be very interested to see what they can continue to actually push out to the public. And I think we're going to get some impressive stuff out of Meta, you know, with the hundreds of millions of dollars that they're going to be spending on all of these models. So if you enjoyed the episode today, I would appreciate it if you left a review, leave a like or comment on YouTube. And if you're interested in making money with AI tools, make sure to go join the AI hustle school community. The link is in the description for that. I would love to have you as a member of that and on the journey with us making money with AI tools.
Title: The AI Podcast
Host: The AI Podcast
Episode: Meta Announces MovieGen AI With Realistic Sounds
Release Date: February 19, 2025
In this insightful episode of The AI Podcast, the host delves into Meta's latest innovation in the realm of artificial intelligence: MovieGen. This advanced video model marks Meta's significant foray into the video industry, expanding beyond their previous focus on open-source projects. The episode provides a comprehensive analysis of MovieGen's capabilities, potential applications, and the broader implications for the entertainment and content creation industries.
The episode begins with the announcement of Meta's launch of MovieGen, heralding the company's serious commitment to the video AI sector. The host expresses enthusiasm about this development, stating:
"This is the first time that we've seen Meta seriously jump into the video industry."
[02:10]
This shift signifies Meta's intention to leverage its vast resources and expertise to innovate within the highly competitive video production landscape.
MovieGen is not merely a video generation tool; it integrates both video and audio generation, setting it apart from existing models. The host highlights the sophistication of MovieGen's capabilities:
"Finally, we trained a 13 billion parameter audio generation model that can take a video and optional text prompts and generate high quality, high fidelity audio up to 45 seconds, including ambient sounds, sound effects and instrumental background music all synced to the video's content."
[15:30]
This dual functionality allows for the creation of immersive and realistic audiovisual experiences, enhancing the overall quality of generated content.
The host discusses various demos showcased by Meta, emphasizing MovieGen's ability to handle complex visual scenarios:
"They have a kid releasing a lantern with the background changing dynamically."
[20:45]
Such features demonstrate MovieGen's proficiency in creating dynamic and contextually rich video content, catering to diverse storytelling needs.
A standout feature of MovieGen is its synchronized audio generation. The host references a specific demo to illustrate this point:
"In one demo, a person riding a quad in the desert is accompanied by the authentic sound of the quad and seamlessly integrated guitar music."
[17:45]
This integration ensures that the audio complements the visual elements, resulting in a cohesive and engaging viewer experience.
MovieGen has the potential to revolutionize the entertainment industry by significantly reducing production costs. The host elaborates on this by discussing its applications in Hollywood:
"Everyone in Hollywood is secretly or openly trying to use [MovieGen] to save hundreds of millions of dollars in film costs."
[25:10]
By automating aspects of video and audio production, studios can allocate their budgets more efficiently, focusing resources on other critical areas of filmmaking.
The host provides detailed examples of how MovieGen can lead to substantial savings:
"Embedding AI-generated snippets into a $300 million film can save hundreds of thousands of dollars by minimizing the need for expensive special effects or location shoots."
[28:50]
This capability not only streamlines the production process but also opens up opportunities for more creative and experimental filmmaking without the burden of exorbitant costs.
Beyond major studios, individual content creators stand to benefit from MovieGen's features:
"YouTubers can utilize MovieGen for B-roll footage, eliminating the need to purchase costly licenses and allowing for greater creative freedom."
[30:20]
This democratization of video production tools empowers creators to produce high-quality content with minimal financial barriers.
MovieGen's technical prowess extends to its personalization features, allowing for highly customized content creation:
"They're able to take a person’s image and make the girl all of a sudden she's playing music, she's a DJ with a cheetah in the background."
[35:20]
Such capabilities enable users to tailor videos to specific narratives and stylistic preferences, enhancing the versatility of MovieGen.
The host highlights MovieGen's ability to alter visual styles dynamically:
"They have penguins in the desert or Arctic environments that change to a pencil sketch style, seamlessly transforming the background aesthetic."
[38:05]
This flexibility allows for creative experimentation without the need for extensive manual editing, fostering innovation in visual storytelling.
A critical aspect of MovieGen's development revolves around the data sets used for training the model. The host addresses the ethical implications and industry concerns:
"Meta claims to use a combination of licensed and publicly available data sets, but the specifics remain unclear, raising questions about data protection and consent."
[42:30]
This discussion underscores the ongoing debate regarding the ethical sourcing of data for AI training, highlighting the need for transparency and responsible practices.
The host references similar controversies faced by competitors like Runway and OpenAI:
"Runway and OpenAI have been criticized for using YouTube content without clear licensing agreements."
[44:50]
By drawing these comparisons, the host emphasizes the importance of ethical data sourcing in maintaining industry trust and complying with regulatory standards.
In evaluating MovieGen's standing in the market, the host compares it with offerings from other companies:
"Runway is publicly available and is actively pushing the industry forward with initiatives like funding AI-generated films."
[50:00]
While acknowledging Runway's contributions, the host points out that Meta's extensive data resources give it a competitive edge, potentially leading to more advanced and versatile AI tools.
For those interested in exploring AI video generation, the host recommends starting with Runway due to its accessibility and robust feature set:
"If you want to test out an AI generation tool, I would highly recommend getting your feet wet with Runway as it's publicly available."
[52:15]
This advice is particularly valuable for newcomers seeking user-friendly platforms to experiment with AI-driven content creation.
Closing the episode, the host expresses optimism about Meta's future endeavors with MovieGen:
"I'd be very interested to see what they can continue to actually push out to the public."
[58:40]
With Meta's substantial investment and commitment to refining MovieGen, the podcast anticipates significant advancements in AI-driven video and audio generation, potentially reshaping the landscape of content creation.
This episode of The AI Podcast offers a thorough exploration of Meta's MovieGen, highlighting its innovative features, practical applications, and the ethical considerations surrounding its development. By positioning MovieGen within the broader context of the AI and entertainment industries, the host provides listeners with a nuanced understanding of its potential impact and future trajectory.
Note: The timestamps provided are approximations based on the sequential flow of the transcript.