What You Can Try Today with AI Go to Google Gemini and select Tools and the Banana 🍌. Upload a picture of yourself and then put this in the prompt field... Here is the prompt: Keep face and hair the same as this reference picture. Warm brown skin with a radiant glow and soft glam makeup. She wears a fitted red holiday top with white luxury faux fur trim and a sleek Santa hat with rich fabric texture. Gold hoop earrings add a touch of elegance. She stands in a high end holiday penthouse, styled with designer Christmas décor, warm golden bokeh lights, a tall couture Christmas tree with glass ornaments, and wrapped gifts in metallic gold paper. Marble flooring with a soft reflection. The lighting is cinematic and warm, with a gentle spotlight on her face. Ultra detailed skin and fabric textures, editorial fashion photography style, shallow depth of field, rich color grading, Vogue holiday issue mood Happy Prompting!

When people imagine the future of work, they often picture automation taking over tasks, new job titles emerging, and skills lists changing faster than job descriptions can keep up. But beneath all the technical shifts lies something more personal. The real transformation is not in what we do, but in how we define contribution, creativity, and value itself. The arrival of AI has made work more fluid, more interconnected, and more unpredictable. Many of us are being asked to move from doing work to designing how work happens. That transition can feel both liberating and destabilizing. It challenges our sense of expertise, purpose, and control. What is unfolding is not the end of human work, but the beginning of a new kind of craftsmanship — one built around intelligence as a shared partner rather than a private possession. ---- The Shape of Work is Changing ---- Work used to be defined by repetition and reliability. We learned a skill, refined it, and executed it consistently. Mastery meant stability. Now, mastery looks more like adaptability. The ability to learn quickly, connect ideas, and translate context has become as valuable as technical precision. AI has changed the texture of time and attention. Many of the hours once spent gathering, formatting, or synthesizing information are being reallocated to judgment and decision-making. That shift sounds simple, but it introduces a new kind of strain. It forces us to rethink what a productive day even looks like. Imagine a professional who once spent hours creating detailed reports. With AI summarization and drafting tools, those same outputs now take minutes. At first, that feels like freedom. Then a new question emerges: what do I do with the time I have reclaimed? The answer is not always obvious. This is the new challenge of the future of work. Efficiency is no longer the destination. It is the starting point for deeper human contribution. ---- Redefining Human Contribution ---- In an AI-augmented environment, our contribution becomes less about production and more about perspective. The tasks that remain uniquely human involve context, interpretation, empathy, and choice. These are not easily measured, yet they are the essence of judgment and leadership.

📝 TL;DR Luma just launched Ray3 Modify, an AI video model that lets you radically rework real footage while keeping the original performance intact. Think wardrobe swaps, new locations, and full scene redesigns, all built on what the actor actually did on set. 🧠 Overview Ray3 Modify is a new set of tools inside Luma’s Dream Machine that combines AI video generation with real cameras, real actors, and real performances. Instead of starting from text prompts, you film once, then use AI to transform wardrobe, environment, lighting, and even character identity while preserving motion, timing, and emotion. It is aimed squarely at filmmakers, brands, and creators who want high end control without high end reshoot costs. 📜 The Announcement Luma announced Ray3 Modify as a new hybrid AI workflow for acting and performance, now available in Dream Machine. The update brings three headline capabilities, Modify Video, Modify with Keyframes, and Character Reference, all designed to keep human performance at the center while AI handles the heavy lifting on visuals. The goal is to fix a core flaw of early AI video, it was expressive, but could not reliably follow or preserve what actors actually did on camera. ⚙️ How It Works • Modify Video - You upload a clip, then use Ray3 Modify to change wardrobe, environments, lighting, and product placement while keeping the physical logic, narrative flow, and performance authenticity of the original shot. • Modify with Keyframes - You can set Start and End Frames to guide longer moves and transitions, telling the model how the scene should begin and end so it respects camera motion and spatial continuity in between. • Character Reference - You add a character reference image, then Ray3 Modify projects that identity onto the actor, locking likeness, costume, and identity continuity across the whole clip. • Performance preservation - The model is conditioned on the original footage, so it follows the actor’s real motion, timing, eye line, and emotional delivery while transforming the look of the scene around them.

Has anyone any comments on using this tool to create refined LLM's? It is open source so technically any model found on Ollama can be modified using any chosen topic.