🎨 Art vs 🤖AI: Where Does Creation Really Come From? So, Sora 2 just came out — and the quality is mind-blowing. Many people can’t even tell real videos from AI-generated ones anymore. As an artist, I still can. Maybe it takes me a second longer now, but I can. That got me thinking about a question I had back when AI generation first appeared: What’s the real difference between AI and an artist, writer, or movie director? Technically, AI is just a program built by developers — people who might not be artists themselves. From that side, the distinction is clear. But legally and creatively, things get complicated. AI models are trained on enormous amounts of existing data — often without asking anyone whether it’s okay to use it. But isn’t that, in some way, how people learn too? Imagine a child raised in a completely empty white room — no colors, no shapes, no doors, no windows. They’re fed somehow but never see or touch the food. Would that person ever be able to create a masterpiece? Of course not. That’s basically what an AI would be without access to the internet or any training data. Humans need experience and exposure to create. We read books before we write our own. We watch films before we make ours. As 3D artists, we constantly search for references — little pieces that eventually merge into something new and personal. It’s kind of scary to think about, but — is there really such a big difference between how AI and artists use others’ work? What do you think about it? Let’s discuss — I’d love to hear different perspectives. #AIArt #DigitalArt #3DArt #ArtificialIntelligence #ArtEthics #Sora2 #Creativity #AIVsHuman #ConceptArt #ArtistsOnLinkedIn #TechnologyAndArt #DigitalCreativity #FutureOfArt #AIinArt

Unlock Next-Level Generative AI: Perceptual Fine-Tuning for Stunning Visuals Unlock Next-Level Generative AI: Perceptual Fine-Tuning for Stunning Visuals Ever felt frustrated by generative models that produce technically accurate but visually disappointing results? Spending countless hours tweaking prompts only to get mediocre outputs? The bottleneck isn't always the model itself, but the objective it's optimizing for. The core idea? Make the way we measure the quality of generated content directly trainable. Instead of relying on fixed metrics or subjective human feedback, we can optimize the error metric in tandem with the generative model. This creates a feedback loop where both the generator and the measurement evolve together, leading to dramatically improved outputs. Think of it like teaching a robot to paint. Instead of just telling it to match a color palette, you'd also teach it what makes a painting aesthetically pleasing to humans. The robot then learns to not only reproduce colors, but also to create visually engaging compositions. Benefits You'll https://lnkd.in/gxPE6F4J

AI is one of those buzzwords that gets thrown around a lot in the VFX world, and honestly, it’s often misunderstood. People either see it as some magical shortcut or as a looming threat to real artistry. The truth is it’s neither. AI is just another tool. A powerful one, sure, but still a tool. There are already plenty of ways to integrate AI into a VFX workflow. Take something like CopyCat in Nuke it’s a great example. You can train it on your own shots and let it handle tasks like rotoscoping or cleanup, which used to eat up endless hours. Instead of manually tracing frame after frame, you can now get a solid base done in minutes and spend your time refining and adding the creative polish that actually matters. Personally, I try to use AI tools mostly in the early stages of a project. They help me move faster through the technical grunt work so I can stay focused on the bigger creative decisions composition, tone, story, the stuff that really shapes the final result. Of course, AI isn’t perfect. It has quirks, limitations, and sometimes you spend as much time fixing its mistakes as you save. But if you know when to use it and when to rely on your own eye, it can be a massive advantage. The interesting question now is: how far can we push this integration before the creative process itself starts to change? Will AI just stay a helper in the background or will it start shaping how we think and create from the ground up? That’s the part I’m most curious about. #cgacohort #AI #Foundry #Nuke #compositing #rotoscoping #workflow #copycat

The Evolution of Generative AI 🤖✨ From drawing hands with 7 fingers to today's popular AI ASMR videos, this motion design explores how generative AI has evolved. After weeks of storyboarding, animating, and refining, here's the final teaser video for my university project on The Evolution of Generative AI. This project challenged me to blend human creativity with AI-generated visuals, shaping them into one cohesive narrative. AI can generate, but humans give direction. How do you see the relationship between design and AI evolving? #MotionDesign #AI #CreativeProcess #TeaserVideo #DesignInnovation

“People have an instinctive reaction to what feels authentic. We recoil from what feels fake. That’s why human creativity matters. AI doesn’t dream. It doesn’t feel. It doesn’t make art. It aggregates it.” Jim Lee I think lots of creatives feel a natural resistance toward AI, and I understand. My Gen Z sons, both musicians (check 'em out https://apple.co/47ffEPH ) , are deeply resistant. I do think how people respond to this particular genie being let out of the bottle is going to be era defining. I think Jacob Collier's approach is interesting: basically, he is trying to make AI work for him as a tool in his creative process, but finding that it falls short. He's engaged but critical. I have to say, and please challenge: IMO if what you do today can be replicated (or bested) by a machine you will fall into obscurity. If you can find a way to augment what you do today, and a path to a point of difference, using a machine you will stand a better chance of standing out. If you can find a way to stay authentic, without using AI, you will also likely find/maintain an audience. Thanks to Conor McNicholas for the original stimulus. https://lnkd.in/e9HB_GRQ

The Challenge of Depicting 3D and 4D Through Language Alone Generative AI for images and videos has sparked headlines like “Anyone can create artwork instantly” or “AI will replace creators.” Yet producing professional-level video with AI alone is far more complex than it looks. Behind the scenes, what seems like “seconds to complete” often takes days of iteration and manual work. 1. The Illusion of “Instant Video” Simple demo clips may render quickly, but real productions require: Switching between multiple AI tools Generating hundreds of still frames per scene Correcting inconsistencies in costumes, objects, and backgrounds One case required 600–800 stills for a single short scene—comparable to traditional animation workloads. 2. Where AI Struggles: Complex Motion & Consistency Common problems include clothes changing mid-scene or impossible human movements. Dynamic 3D actions—like gymnastics or fight sequences—are especially hard to describe precisely in text, forcing creators to step in and fix inconsistencies. 3. The Language–4D Gap Prompts must specify not just who acts but when, how, and in what sequence. Human language was never designed to fully describe four-dimensional motion. Just as cultural terms like mottainai lack perfect translations, many movements and interactions cannot be captured in words alone. This makes seamless AI video generation inherently difficult. 4. Why AI Still Matters Despite these limits, AI is valuable for: Rapid prototyping and storyboarding Generating partial effects or assets Accelerating background and environment design Tools like Adobe Firefly and Runway Gen-3 continue to evolve, making AI a powerful production partner. 5. Will Creators Lose Their Jobs? Unlikely. AI has clear strengths, but: Prompts can’t capture everything Consistency still requires human oversight Originality and innovation remain human domains As many professionals agree: “It only works well under creative supervision.” AI is a collaborator, not a replacement. Conclusion The biggest challenge lies in bridging language with 3D/4D motion. Until that gap closes, human creativity and judgment remain essential. The future of content creation is not AI replacing humans, but humans leveraging AI to expand imagination and efficiency. 👉 What’s your view—threat or tool for creativity? https://lnkd.in/gcXwpXMx

Unlock the secret of using generative AI right.    Madan Kumar M, Creative Director at #Panorbit breaks down the hype. AI is a brilliant concept artist, perfect for creating stunning backdrops and vibes. But when it comes to the details that matter, it falls short. Relying on AI alone can make your product look cool, but also completely fake.   The solution isn't to choose one. It's to blend them. Use AI for the flare, but ground it with the truth of a real studio shot.   #AIinPhotoshop #AIinMarketing #GenerativeAI #ProductPhotography #Panorbit

The Generative AI Revolution — The Future of Creation AI is no longer just analyzing data — it’s creating. 🎨 Designing visuals. 💻 Writing code. 🎵 Composing music. 🗣️ Generating ideas that once only humans could imagine. Every prompt is a spark. Every model, a new creator. This is the rise of Generative AI — where imagination meets intelligence. At INVAYL, we believe creativity isn’t being replaced — it’s being redefined. 🚀 #Invayl #GenerativeAI #AI #ArtificialIntelligence #Innovation #FutureTech #AIRevolution #DeepLearning #MachineLearning #Creativity #Technology Generative AI Revolution.AI

DC Comics Won't Support Generative AI: 'Not Now, Not Ever': An anonymous reader shares a report: DC Comics president and publisher Jim Lee said that the company "will not support AI-generated storytelling or artwork," assuring fans that its future will remain rooted in human creativity. "Not now, not ever, as long as [SVP, general manager] Anne DePies and I are in charge," Lee said during his panel at New York Comic Con on Wednesday, likening concerns around AI dominating future creative industries to the Millennium bug scare and NFT hype. "People have an instinctive reaction to what feels authentic. We recoil from what feels fake. That's why human creativity matters," said Lee. "AI doesn't dream. It doesn't feel. It doesn't make art. It aggregates it." Read more of this story at Slashdot.

Unleashing Creativity with Generative AI 🌟 Im excited to share my latest experiments into the world of generative AI, where I’ve been crafting some truly innovative creations. By engineering prompts from simple to complex text, I'm able to produce realistic results that simulate advertising, fashion and showing in social media the new clothing brands and so many possibilities with even more control. It's like having a digital toolbox that elevates creativity to new heights! But here's the key: while this technology is powerful, it's not a replacement for human creativity—it's an enhancement. The real magic happens in how I control and guide the AI to achieve great results. The camera movement, the look, the feel, with the objective to transmit and reach the right people. I was learning on Higgsfield AI platform, I've mastered the art of generating images and animating them, knowing which models deliver the best outcomes in desired cases, with or without audio. I invite you to explore the possibilities with me and see how this tool can elevate your brand, spend a little less for companies that want to grow and stand out. Let's connect and create something really cool together! 🚀 #GenerativeAI #Creativity #Innovation #DigitalMarketing #AI #BrandElevation Higgsfield AI #higgsfieldai #generativeAI