Calliope Networks的动态

"So far, major studios haven’t moved on?licensing video?for AI training. Among other factors, a predominant fear among video publishers is that, by licensing, they will be contributing to the tech that replaces them in the market, which some have analogized to the early days of studios licensing high-value content to Netflix. Yet the reality remains that in the meantime, AI video models are being commercially and capably built through massive data scraping regardless of publisher participation and without their compensation, consent or credit. Recently, 404 Media reported on?internal spreadsheets?detailing Runway’s model training data, which included copyrighted material by major publishers and creators on YouTube and movie piracy sites. Davis would argue for licensing, since publishers can at least expect to negotiate fair compensation that becomes a new revenue stream. Perhaps more important, it can give publishers a collaborative voice in the way AI development proceeds and a greater ability to have at least some say in how their content is used, such as potential restrictions that an AI output won’t re-create an exact scene. “Everybody's concerned about AI and what it means for the future of creators. But the question is, Should we perpetuate a world where content is used without a license or compensation?” said Davis. “Or do we try to be a part of the conversation and change the outcome for producers?and creators?for the better by engaging?”

Excited to announce my role as a consultant and advisor for Calliope Networks! It's fantastic to see founder Dave Davis and Calliope featured in Variety VIP+ as a leading supplier of video training data for technology companies. Calliope is tackling a critical challenge by providing responsible and innovative training data acquisition opportunities for those building generative models. They also offer a valuable monetization partnership for film, tv, and creator content library owners who provide their consent to enter into training deals. Let's address the elephant in the room: the dubious acquisition of training data. Much like piracy, this issue is best combated by building visible and reliable suppliers. As Steam creator and Valve co-founder Gabe Newell famously said, "Piracy is a service problem." People, and hopefully technology companies, are willing to pay for things if there's a convenient way to do so. Calliope Networks is that reliable supplier. If you're a tech company building generative image, video, or world simulation models, Calliope offers a legitimate and high-quality source for licensing training data. Reach out to me or Dave Davis for more information. 404 Media Engadget The Verge WIRED TechRadar The Hacker News TechCrunch Ars Technica Charlie Fink Stack Overflow Nilay Patel Kevin Roose Casey Newton #ai #machinelearning #generativeai #datascience #techinnovation #videodata #aitraining #technology #engineering #contentlicensing #responsibleai #techconsulting

Feeling powerless against AI scraping your content? CreatiShield (under development) offers a vision for a comprehensive DRM & AI solution for creators. Protect your work, manage distribution, and maximize potential monetization through licensing and AI-powered features. Tomorrow, the Underwood Group will post an Article about the challenges Content Creators face when their work is unfairly appropriated by LLMs. We are working with a company?on a new and comprehensive platform to address this challenge. #creativity #AI #copyright #contentcreation #technology #CreatiShield

YouTube has unveiled its AI-powered YouTube Shorts feature, allowing you to create 6-second videos with a simple text prompt. ??? Powered by Google DeepMind's Veo model, this tool is set to revolutionize video creation with high-quality, cinematic clips in seconds! ?? ?? Plus, new tools like the “Inspiration” tab & AI-driven features make it easier to create, engage, and grow! It’s a big step forward for YouTube in competing with TikTok and Reels. Ready to explore new creative possibilities? ???? https://lnkd.in/duRH4pb3 #YouTubeAI #ContentCreation #Innovation #VideoMarketing #DigitalTransformation #AI

DreamFlare AI aims to revolutionize content creation and monetization through AI-generated short-form videos. By partnering with professional storytellers and utilizing third-party AI tools, DreamFlare provides creators with a platform to earn revenue through subscriptions, advertising, and more. Despite concerns about AI replacing human jobs, DreamFlare emphasizes democratizing storytelling and creating new entertainment opportunities. With investments from FoundersX Ventures and partnerships with industry executives, DreamFlare is poised to disrupt the entertainment industry. Creators can earn money through revenue sharing, ad cuts, fan tips, and a forthcoming marketplace. The platform's fan fund allows followers to support creators and engage in the creative process. #ai #contentcreation #dreamflareai #monetization

As the AI debate rolls on, there are a couple things we continue to believe and support as a creative production agency producing social-first, digitally native campaigns for some of the world's most celebrated brands... ? AI has an incredible ability as a tool to speed up and scale production, but... ?Without putting that powerful tool into the hands of artists with an equally powerful vision, the outcome will lack authenticity and relevance... So the question isn't which will win out, (Artist or AI), but rather how do we successfully pair the two together to ensure authenticity AND efficiency for our clients?

AI video technology is transforming content creation, opening up vast creative and technological opportunities for the future.

Netflix just crossed the AI-line. In their latest documentary, 'What Jennifer Did,' the producers used an AI-generated photo to fill gaps where original photographic content was unavailable. Without any disclosure, this manipulation involved enhancing an image to depict a happy Jennifer Pan, resulting in a noticeable misshapen hand. Artificial intelligence is a powerful tool. It can create stunning visuals, automate tedious tasks, and even predict our preferences. But when it comes to creating content, where do we draw the line? Netflix chose to use a photo created by an AI in a DOCUMENTARY, not a work of fiction. No one was harmed in the creation of this photo. No copyright laws were broken. Yet, it feels like a line has been crossed. Why? Because documentaries hinge on authenticity and factual accuracy. They are trusted to show us the 'real' world. An AI-generated image, while visually compelling, is fundamentally synthetic. Using such content without clear disclosure not only misleads viewers but also dilutes the integrity of factual storytelling. It’s about keeping the audience in the know. Transparency is key, and viewers deserve to understand what they’re seeing and its origins. It’s not just about a photo. It's about authenticity, transparency, and distinguishing the real from the fabricated. At the very least, the picture should have been labeled 'AI-Generated'. What do you think? Are you OK with What Netflix Did?

I’m betting the house on AI-generated content Theoretically, I don’t even have to film ads anymore. The whole process can be done with a prompt and a few clicks. Once you get your systems dialed in, the payoff is exponential. AI is literally 100x’ing content output capabilities #UGCFactory

GenAI is setting the stage for a revolution in content creation. Everyone is potentially a creator. Supply is no longer the constraint across formats- moderating quality, generating demand and rethinking search are the real moats to building at scale. For more such insights on GenAI's impact on the Media and Entertainment industry, read Natasha Malpani Oswal's blog: