The Ledger
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Riparbelli: LLMs are not production-ready for 95% of intended tasks
“They're not production ready for 95% of the tasks that people think that they want to use them for.”
Riparbelli: Most harmful AI misuse will emerge from open source models
“And I think we'll see that a lot of harmful use of these technologies will emerge from kind of like the open source world.”
Riparbelli: Synthesia aims to eventually replace physical video production
“We are building technology to eventually replace the entire physical production process.”
Riparbelli: AI video is a replacement for text, not video production
“These types of videos Essentially became not a replacement for video production, but a replacement for text.”
Riparbelli: Clean training data will be required by enterprise AI buyers
“And I think we're going to see that a lot in the next couple of years that this is going to be a requirement for big companies to work with Genesive AI.”
Riparbelli: Monetizing AI content is a bigger opportunity than selling tools
“And I think there's lots of other things like this, but I really think that one of the biggest opportunities right now is actually not necessarily selling the tools. It's actually creating the content and monetizing that content. Because the tools are becoming…”
Riparbelli: Video and media production will shift from cameras to code
“So the big idea that Synthesia is built around, right, is that video production and media production in general is going to go from something that we record with cameras and microphone to something we code with computers.”
Riparbelli: AI will make video websites as easy to build as text websites
“Moving forward, this will make it as easy to create a video-driven website as a text-driven website, and I think that's going to have major implications for how we kind of go about the user experience online.”
Riparbelli: Everyone will eventually use a personal digital avatar for video calls
“We definitely believe that we're all going to have a digital representation of ourselves kind of an avatar of ourselves that we can use for creating video, maybe even Zoom calls, stuff in the future.”
Riparbelli: Synthesia has over 50,000 customers and 35% of Fortune 100
“Now we run the world's biggest AI video platform. More than 50,000 customers work with more than 35% of four to 100.”
Riparbelli: Trusted internet requires an SSL-like standard for content provenance
“If we really want to build a trusted internet we probably want to have something like an SSL type of standard but for content, so that when you watch a video on YouTube or Facebook or TikTok, whatever, you have some kind of an idea of the provenance of that vi…”
Riparbelli: Synthetic video replaces enterprise text, not traditional camera production
“Our platform is not really a replacement for traditional video production as you know it with like a camera, right? It's actually more replacement for text.”
Riparbelli: Public exposure to synthetic media builds essential deepfake literacy
“Exposure of this type of media is, is the most important part of it, right? Once you start getting personalized birthday messages from David Beckham and Lionel Messi, for example, you know that's not real. That, that builds that sort of embedded sense of this …”
Riparbelli: AI video technology is not yet ready for emotional storytelling
“As the technology gets better and better, I think we'll see much more of kind of like storytelling emotional types of video content start to take off. But I think, you know, the, I think the honest answer is that these technologies just aren't really there yet…”
Riparbelli: Synthesia next-gen avatars will unlock marketing video use cases in 2023
“I think before the end of the year as we roll out the next generation for avatar technology, we'll start to see even more marketing sales and those types of use cases emerge as well.”
Riparbelli: AI research timelines and technical feasibility are fundamentally unpredictable
“When you're doing AI research, nobody really knows if it's going to take three months, or six months, or nine months, or 18 months, or if it's even possible.”
Riparbelli: Synthesia only trains models on clean, compliant data
“We've kind of decided to take a route where we only train on clean, compliant data as other companies were not doing that.”
Riparbelli: Character.ai represents a successful new AI-native media format
“I think something like character.ai has probably surprised a lot of people where they're not selling the tools to build chat interfaces, right? They're actually selling you a chat experience where you get to talk to a computer and a lot of people really, reall…”
Synthesia aims to enable video creation without cameras, actors, or studios
“Creating technology that would make it easy to create video for everyone and without having to deal with cameras and actors and studio equipment every time you want to create a video.”
Riparbelli: Synthetic video technologies will definitely be used for bad
“And these technologies will be used for bad for sure.”
Synthesia generated $700,000 in annual revenue during its early agency services phase
“I think we did like 700,000 dollars of revenue on that in a year.”
Synthesia uses third-party LLM providers for scriptwriting rather than in-house models
“We use lots of LLM providers. Now, for example, we have a script writing functionality, right? Where you can just type in the topic of your video will help you write the script. That's not technology we've developed from the ground up.”
Riparbelli: Synthesia never creates avatars without explicit consent
“So we'd never create an avatar of someone without their full actual consent, right?”
Synthesia to launch V1 of its video generation API
“The API part of it, of which we're launching our V-One of the platform in a couple of weeks, will enable a whole new space for opportunities, most of which we probably haven't really thought of yet, right?”
Riparbelli: 80% of Synthesia's enterprise clients use custom avatars
“One which is already used by roughly 80% of our enterprise clients today, which is that you can create a real avatar of yourself.”
Synthesia shares data with major tech firms to build deepfake detectors
“Both Synthesia as a company and Matthias is working with a lot of the larger companies by sharing data and helping them with effort to build these sort of deep fake detection tools.”
Riparbelli: Synthesia supports 55 languages for synthetic video generation
“We support 55 languages right now”
Riparbelli: Synthesia has close to 200 custom avatars on its platform
“We already have, I think, close to 200 custom avatars on the platform so far”