Sameer Rizvi’s Post

In the rush to adopt AI for video and animation, there’s a narrative that it will replace human artistry—especially in fields like video production and animation. Mindset shift: AI doesn't replace skilled video and animation talent. It amplifies their capabilities. Here’s a simple rule for hiring talent on AI-driven projects: Hire people who would excel without AI. If they don’t have the chops to direct a traditional workflow, they won’t be able to guide an AI-enhanced process. Want to Dive Deeper? Join Arena. If you’re passionate about exploring the future of AI in creative work, I’m building a new community called Arena. It’s a space where creatives, innovators, and forward-thinkers come together to discuss, learn, and evolve alongside AI. We’re building an onboarding list and will open Arena soon based on priority access. Interested? Drop a comment to request priority access—and let’s shape the future of creativity together. #ai #artists #talent

AI in Producing Visual Effects (VFX): Artificial intelligence (AI) is playing an increasingly pivotal role in producing visual effects (VFX) for films, television, and gaming. Traditionally, VFX artists have relied on manual techniques and complex software to create realistic effects like explosions, creatures, or magical landscapes. Now, AI is transforming this field, offering more efficient, precise, and creative solutions that push the boundaries of visual storytelling. One of the most significant contributions of AI in VFX is the automation of time-consuming tasks. AI algorithms can streamline processes like rotoscoping, where individual frames of footage are edited to separate objects from their backgrounds. In the past, this was a labor-intensive task requiring hours of manual work. AI-powered tools can now automate this process, analyzing each frame and delivering results in a fraction of the time. AI is also revolutionizing how artists create realistic simulations of natural phenomena, such as water, fire, and smoke. Through deep learning models, AI can study real-world patterns and generate highly accurate simulations that behave like their real counterparts. This allows VFX teams to create effects that are not only visually stunning but also lifelike, adding to the overall immersion of the viewer. Furthermore, AI is enabling artists to upscale and enhance footage with greater clarity. Machine learning algorithms can analyze lower-resolution images and predict the missing data, creating high-resolution effects that match the quality of modern filmmaking standards. This has proven especially useful for restoring or updating older films. In character creation, AI helps streamline the animation of digital characters by learning and mimicking human expressions and movements. This has enabled more realistic and emotionally expressive CGI characters, helping to bridge the gap between digital creations and human actors. As AI technology continues to evolve, its role in VFX will expand further, unlocking new creative possibilities and transforming the future of visual effects in entertainment.

🎥 Revolutionizing Video Production with AI: From Fashion to Corporate Mastery 🚀 AI is transforming video production, and I’m leveraging it to create impactful stories across industries. With Sora by OpenAI and Topaz Labs, I’ve crafted 30 videos showcasing my expertise in fashion campaigns, corporate storytelling, music videos, and creative advertisements. ✨ Highlights: Corporate Excellence: Engaging presentations with seamless transitions. Fashion Brilliance: Runway-inspired visuals that captivate. Music Video Magic: Cinematic VFX synced perfectly to rhythm. Creative Ads: Bold, generative art-inspired designs for modern brands. This series demonstrates how AI-driven workflows can: Elevate storytelling across industries. Save time while delivering premium results. Drive engagement for brands and businesses. 💡 For recruiters and collaborators: If you’re seeking a video producer with expertise in Generative AI, motion design, and content creation, let’s connect. I’m passionate about delivering innovative, impactful content tailored for diverse audiences. Starting tomorrow, I’ll share one video daily, exploring how AI enhances creativity and production across multiple industries. Watch the teaser now and get inspired! 💬 What excites you most—corporate storytelling, fashion visuals, or creative ads? Let me know in the comments or DM me to collaborate. #GenerativeAI #VideoProduction #FashionCampaigns #CorporateVideos #MusicVideos #CreativeAdvertisements #CreativeTalent #MotionGraphics #VisualStorytelling #HiringCreatives

𝐀𝐈 𝐈𝐧 𝐕𝐅𝐗: 𝐋𝐞𝐚𝐫𝐧 𝐀𝐥𝐥 𝐲𝐨𝐮 𝐍𝐞𝐞𝐝 𝐓𝐨 𝐊𝐧𝐨𝐰 𝐀𝐛𝐨𝐮𝐭 (𝐋𝐚𝐭𝐞𝐬𝐭 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐨𝐧 ) IndustryARC™ updated the market research study on 𝐀𝐈 𝐈𝐧 𝐕𝐅𝐗 𝐌𝐚𝐫𝐤𝐞𝐭 size is forecast to reach USD 714.2 million by 2030, after growing at a CAGR of 25% during the forecast period 2023-2030. 👉 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐑𝐞𝐩𝐨𝐫𝐭 𝐒𝐚𝐦𝐩𝐥𝐞 @ https://lnkd.in/g9PJRVW3 𝐇𝐞𝐫𝐞 𝐚𝐫𝐞 𝐬𝐨𝐦𝐞 𝐤𝐞𝐲 𝐟𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐫𝐞𝐩𝐨𝐫𝐭 𝟏. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐂𝐨𝐧𝐭𝐞𝐧𝐭 𝐂𝐫𝐞𝐚𝐭𝐢𝐨𝐧: AI is being used to automate repetitive and labor-intensive tasks in VFX, such as rotoscoping, tracking, and masking. By leveraging #machinelearning algorithms, AI can perform these tasks faster and with a high degree of accuracy, freeing up artists to focus on more creative aspects of production. 𝟐. 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐑𝐞𝐧𝐝𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧: AI-driven real-time rendering #technologies are revolutionizing the VFX industry by enabling the creation of high-quality visuals in real-time. This is particularly beneficial for virtual production, where filmmakers can see and interact with #digitalenvironments and characters on set, allowing for more immediate and flexible decision-making. 𝟑. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐝 𝐕𝐢𝐬𝐮𝐚𝐥 𝐑𝐞𝐚𝐥𝐢𝐬𝐦 𝐰𝐢𝐭𝐡 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Deep learning techniques are being used to enhance the realism of visual effects. AI models can generate highly detailed textures, simulate realistic physics, and create lifelike animations. This leads to more convincing and immersive visual experiences in films. 𝟒. 𝐀𝐈-𝐀𝐬𝐬𝐢𝐬𝐭𝐞𝐝 𝐌𝐨𝐭𝐢𝐨𝐧 𝐂𝐚𝐩𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐂𝐡𝐚𝐫𝐚𝐜𝐭𝐞𝐫 𝐀𝐧𝐢𝐦𝐚𝐭𝐢𝐨𝐧: AI is improving motion capture and character animation by making the process more efficient and less reliant on traditional markers and suits. #AIalgorithms can analyze video footage to capture complex movements and expressions, making it easier to create realistic and expressive digital characters. 𝟓. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞𝐝 𝐚𝐧𝐝 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐂𝐨𝐧𝐭𝐞𝐧𝐭: AI is enabling the creation of personalized and interactive VFX content. By analyzing user data and preferences, AI can tailor visual effects to individual viewers, creating unique and engaging experiences. This trend is particularly relevant in gaming and virtual reality, where user interactivity is a key component. 👉 𝐆𝐞𝐭 𝐌𝐨𝐫𝐞 𝐈𝐧𝐟𝐨 @ https://lnkd.in/gM9_MKe2 𝐌𝐚𝐣𝐨𝐫 𝐤𝐞𝐲 𝐩𝐥𝐚𝐲𝐞𝐫𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: AWS AI | IBM Data, AI & Automation | Argo AI | QuantumBlack, AI by McKinsey | OpenText Analytics & AI | Framestore | Animal Logic | Story Loom AI | Rodeo FX | Industrial Light & Magic | Weta Digital | PIXOMONDO | Adobe | Secuoya Content Group | DNEG | #AIVFX #ArtificialIntelligence #VisualEffects #MachineLearning #RealTimeRendering #VirtualProduction #MotionCapture #CharacterAnimation #DigitalTransformation #FilmIndustry #VFXTechnology #3DAnimation #InteractiveContent

“Embedding an LLM in a Synthesia Avatar” by Claude 3.5 Sonnet 1:31 pm PDT, Friday, July 26, 2025 Thank you for providing that information about Synthesia's current avatar animation technology. To explain how Synthesia avatars could potentially be connected to large language models (LLMs) to generate dynamic responses or behavior, I'll outline a hypothetical approach: 1. LLM Integration: - Incorporate an LLM (like GPT-4 or a similar model) into Synthesia's platform. - This LLM would serve as the "brain" for generating dynamic content. 2. Input Processing: - Instead of fixed text input, allow users to provide context, prompts, or questions. - The LLM would process this input to generate appropriate responses. 3. Response Generation: - The LLM would create contextually relevant, dynamic responses based on the input. - These responses could vary in content and style depending on the avatar's defined personality or role. 4. Text-to-Speech Conversion: - Convert the LLM-generated text into speech using Synthesia's existing text-to-speech technology. 5. Lip-Sync and Animation: - Use the converted speech to animate the avatar, syncing lip movements and facial expressions. - This would leverage Synthesia's current animation capabilities. 6. Real-time Processing: - Implement a system for near real-time processing to allow for interactive conversations. - This would require optimizing the pipeline from input to animation rendering. 7. Avatar Personality Profiles: - Create distinct personality profiles for avatars. - Use these profiles to guide the LLM in generating appropriate responses for each avatar. 8. Multimodal Interaction: - Potentially incorporate image or video analysis to allow avatars to respond to visual cues. - This would require integrating additional AI models for image/video processing. 9. Fine-tuning and Control: - Fine-tune the LLM on specific datasets to make avatars knowledgeable in particular domains. - Implement content filters and controls to ensure appropriate and safe responses. 10. User Interaction Interface: - Develop an interface allowing users to interact with avatars in real-time. - This could include text input, voice input, or even gesture recognition. By implementing a system like this, Synthesia could transform its avatars from pre-scripted presenters to interactive, dynamically responsive virtual beings. This would significantly expand the potential applications of their technology, enabling use cases like virtual assistants, interactive training programs, or even AI-driven entertainment characters. However, it's important to note that this kind of integration would be a significant technological undertaking, requiring substantial development in areas beyond Synthesia's current focus on video generation from scripted text. It would also raise new ethical considerations regarding the use of AI for generating dynamic content in human-like avatars.

Humans + AI = Creative Synergy: A Collaborative Experiment What happens when human creativity meets the power of AI? 🤔 We brought together an incredible team—Shana Nielsen, David Palmeri, Jacob Cox, Evan McEneaney, Andy Inglat, Clare Stein, Allyson Bernstein, & Gerry Mattei—to explore this exciting intersection. The result? A new approach to #creativity that blends human imagination with AI’s potential. To bring our vision to life for The Female Quotient and ATTN: Women in #AI sizzle, we used a mix of the latest tools: ✨ Images: Midjourney, krea.ai, FLUX, Photoshop Firefly 🎥 Videos: Runway, Luma AI, Krea, Pika, Hailuo 🎬 Editing & Effects: Adobe AfterEffects, Premiere, Davinci Resolve 🔊 Voiceover: ElevenLabs Speech to Speech 🤖 AI Assistance: ChatGPT & Gemini for technical Q's & prompt refinement One of the standout moments [0:23 Seconds] was creating a scene of flowers blooming from a girl’s hands. Here's how we did it:  Testing the Imagery & Animation: Shana began by exploring different ways to visualize flowers growing and blooming. She tested several AI tools, including Midjourney, FLUX, Runway, @Pika, and krea.ai, to generate frames and animations that captured the feeling of flowers coming to life. Selecting the Best Frame: After experimenting with various options, Shana selected an endframe from Pika, which shows flowers fully bloomed from a girl’s hands. This became the base for the animation. Creating the Clean Starting Frame: Using Photoshop Firefly, she removed the flowers from the frame, leaving just the girl's hands. This clean version served as the starting point for the animation sequence. Designing the Middle Frame: Next, Shana created a middle frame where the first flower is just beginning to bud. She manually adjusted the design to show the subtle transformation from no flowers to a blossoming start. Bringing it All Together in Krea: She then brought the three frames—the clean start, the budding flower, and the blooming flower—into Krea. She used the AI tool to adjust the timing and refine the animation of the flowers growing and blooming. The AI helped bring smooth transitions between the frames, making it feel like a natural flow of movement. Enhancing & Upscaling: Once the animation was complete, she ran it through Krea’s upscaling tool, improving the quality and adding finer details to the animation. Final Touches with Runway: To add variety and a sense of uniqueness, she used Runway Gen-3 video-to-video technology to create multiple versions of the same animation. Each version featured unique looks and characters, but all retained the same motion. These clips were then sequenced together with quick cuts in Adobe Premiere to give the scene energy & movement. This process shows how powerful the combination of human creativity and AI can be. With the help of cutting-edge tools and the guidance of a creative mind, we crafted something magical. AI is just the tool, we are the solution. What do you think?

The Future of the Creative Industry: Meet SORA 🎬 The movie and video industry is on the brink of a revolutionary transformation, and at the heart of it lies SORA – an advanced technology that merges the best of AI and creativity to reshape the way we tell stories, create visuals, and produce content. So, what is SORA? SORA (System for Optimized Rendering and Animation) leverages cutting-edge AI algorithms to enhance every step of the video creation process, from pre-production to post-production. Whether it’s rendering photorealistic CGI in real time, automating complex visual effects, or seamlessly integrating AI-driven editing tools, SORA empowers creators to work faster, smarter, and more cost-effectively. But what does this mean for the creative workforce? There’s no denying that such advancements come with challenges and opportunities: 🎨 Empowering Creatives: SORA simplifies technical barriers, allowing artists, writers, and directors to focus on their vision. Tools like automated color grading, advanced scene detection, and script-to-screen storyboarding will give more time back to the creators. 💼 New Job Roles: With new technologies come new roles. AI supervisors, data specialists, and creative technologists will emerge as integral parts of production teams. 🤝 Collaboration Redefined: SORA enables remote teams to collaborate on high-end productions in real time, democratizing access to resources that were once limited to big-budget studios. 🔄 Reskilling Opportunities: While some manual tasks may be streamlined, the need for human creativity remains irreplaceable. Training programs will focus on merging traditional creative skills with technological fluency. 📉 Jobs Impact: Yes, automation may reduce certain repetitive roles, such as manual rendering or basic editing, but it also opens doors to elevate creativity by taking over mundane tasks. Why is this important? In a world where content consumption is at an all-time high, SORA equips creatives with tools to meet the growing demand without compromising quality. It ensures that stories of every scale and scope can be told – efficiently, affordably, and beautifully. The creative industry has always evolved with technology, and SORA is the next step in this evolution. It’s not just about making content faster; it’s about redefining what’s possible. 💡 What’s your take? Will technologies like SORA be a boon or a challenge for your field? Let’s discuss in the comments! #AI #VideoProduction #SORA #CreativeTechnology #FutureOfWork

WE'RE HIRING for a designer / AI prompt engineer. What if you could 10x your power? Help us build a team of AI designers to work under you. No AI experience needed - you'll learn here. Pixii is an AI marketing agency. Our team built robots at Amazon, was inside the algorithm at Instagram, and led projects for the Fortune 500 at Bain. Our first two AI agents: -Designer -Social Media Manager Think of Pixii as an AI coworker that uses Canva and Hootsuite for you. WANT AN INTERVIEW? Comment below with a link your portfolio. Our CEO will interview the 3 best ones.

How is artificial intelligence transforming the animation industry?⁉️🤔 #The Impact of AI-Generated Content on the Animation Industry: Opportunities and Challenges# The animation industry is undergoing a transformative evolution, driven by advancements in artificial intelligence (AI). AI-generated content is reshaping the landscape, presenting both significant opportunities and formidable challenges. #### Opportunities 1. **Enhanced Creativity and Efficiency** AI tools can automate repetitive tasks such as in-betweening, coloring, and background generation, freeing up animators to focus on more creative aspects of their work. This efficiency not only speeds up production but also reduces costs, enabling studios to allocate resources towards higher-quality outputs. 2. **Personalized Content** AI algorithms can analyze viewer preferences and trends to create highly personalized content. This customization can lead to more engaging and relevant animations, tailored to specific audiences, thus enhancing viewer satisfaction and loyalty. 3. **Innovative Storytelling** AI can assist in scriptwriting and storyboarding, offering new perspectives and ideas. By analyzing vast amounts of data, AI can suggest plot developments, character arcs, and dialogue options, pushing the boundaries of traditional storytelling. #### Challenges 1. **Job Displacement** The automation of certain tasks poses a risk to jobs traditionally performed by human animators. While AI can handle routine tasks, there is a concern that it may lead to job losses or the need for significant reskilling among animation professionals. 2. **Quality and Authenticity** AI-generated content may lack the nuanced touch and emotional depth that human animators bring to their work. Ensuring that AI outputs meet the high standards of quality and authenticity that audiences expect remains a critical challenge. 3. **Ethical and Legal Issues** The use of AI in content creation raises questions about intellectual property rights and authorship. Determining who owns the rights to AI-generated content and ensuring fair use and compensation for original creators are complex issues that the industry must address. #### Conclusion The integration of AI-generated content in the animation industry is a double-edged sword. On one hand, it offers exciting opportunities for enhanced creativity, efficiency, and personalization. On the other, it presents challenges related to job displacement, quality assurance, and ethical considerations. Navigating this evolving landscape will require a balanced approach that leverages AI's strengths while addressing its limitations and implications. #animation #informativetech #AI #futureristictech

I recently had a very insightful conversation with someone who's been working as a director/creative talent acquisition specialist in the animation industry for quite sometime, about the integration of AI technology in the animation industry. From our conversation, it was easy to conclude that AI is having a huge impact on the industry as a whole right now, and will only continue to do so in the future. I've been doing some research about new AI technologies for animation, and they seem to be changing every day. New generative software's, new tools, changes to existing software's, motion capture software's etc. For all those out there who have explored any kind of animation AI technology, I'm curious to know which ones you've started working with, and which technology you foresee having a profound impact from your experience? What's your take on these software's, and AI integration as a whole? I'm curious to learn all that I can about how AI is changing our industry, and what it will do to indefinitely change the traditional "animator" job role that I've worked to pursue a career in. #AI #AItechnology #Animation #AIanimation