Lets talk about A.I. for a second.
Visual art stands at a historic crossroads, split into two deeply polarized extremes. Critics wrongly dismiss Artificial Intelligence as a soulless button press, while uncritical supporters celebrate it blindly, mistaking prompts for personal genius. True authorship is not a shortcut. It only begins when you actively push past the machine’s automated choices and force your own precise creative direction onto the technology. Collective Memory vs. Human Repetition Every AI model reflects centuries of human art history. When we use AI, we activate this distilled knowledge. This reality exposes an uncomfortable truth within our own industry because humans copy constantly. Most modern films are formulaic, repetitive Hollywood copies trapped in the same tropes. The only difference is that humans execute the process physically, which traditionally legitimizes the work as craft. Because AI removes this physical execution, a simple text prompt is not enough to claim ownership. That is just copying at the lowest cost. Out of respect for craftsmanship, my website maintains a strict division. My photography gallery features 100 percent real photography because there is no such thing as AI photography, only image generation. Modern Cinema and the AI Catalyst Movies are incredibly expensive today, causing risk-averse studios to rely on proven franchises. This results in heavy, collective boredom. AI can radically break this cycle by allowing bold visual experiments that would otherwise perish due to the fear of decision-makers. The technology is not a genre itself. It serves as a powerful proof of concept, enabling independent filmmakers to present their vision as an experience and secure a green light. Three Pillars of My Approach AI can never replace the raw energy, physical sets, and unpredictable magic of a real production environment with real actors. Therefore, I utilize AI strictly in three areas where it serves the physical craft without replacing the artist:Saves Technical Production Time: Integrating generative tools into 3D software like Blender skips repetitive, mundane tasks. Because everything remains built on polygons, I maintain absolute control over composition, staging, and lighting. Accelerates Collective Visual Jamming: Keyword experimentation provides a fast track to unpredictable inspiration. When working with costume designers, the raw outputs offer bizarre, highly original details that we can extract and build into physical reality. Secures Budgets for High-Risk Ideas: Creating high-fidelity demos bridges the imagination gap for non-creative decision makers. A tangible visual demo builds immediate confidence, lowers the perceived risk, and turns abstract concepts into real-world live-action projects. Systemic Accountability and Regulations The technology was forced upon the creative community, and we must demand a fierce moral framework from the developers:Compensation and Licensing: All artists whose data was used to train these models must be retroactively compensated. Future developers must request permission and adapt to strict licensing systems. Personal Responsibility: Individual creators must be honest about the sharp boundary between inspiration and theft. Education First: The next generation must learn the raw, physical reality of the craft first, including real light, cameras, and composition. Only by mastering the actual production environment can you ensure you use the machine as a tool instead of letting it use you. This counts for all creative endeavors including music, architecture, design, and animation. Labeling: We need clear AI stamps on everything that is fully AI for at least the next few years. The Music Perspective We need strict boundaries to clarify creative output. Generating a full track in Suno based on a single prompt is not making music, so you should not be able to license that work under your name.However, using AI to create a single sample, like a drum loop, and then actively manipulating it in a DAW by cutting it, adding effects, or changing the key and tempo is completely legitimate. I have been making electronic music since the 90s. Back then, we dug through vinyl records to find samples. There is no conceptual difference, except you do not have to run around anymore.
Carcrash.
My Hypothetical Kinetic Sculpture.
As a kid I was fascinated by car accidents. I smashed my toy cars with a hammer to play accident. I remember a toy called Carcrash. It contained two cars, an old Beetle and something like a Ford Taunus. You had to assemble them, wind them up, and let them crash into each other over two ramps so they fell apart into many small pieces.
Later during my art studies, I set up photographic scenes of toy cars colliding. I used the sparks of sparklers hidden behind the cars to capture the moment of impact. I don't know what fascinates me about it. It is not the danger, it is the pure power. Or maybe because I am a walking car crash myself.
This motif represents so many things at once for me. A crash is drama, energy, destiny, cinematic, and unfortunately, also somehow extremely poetic
I wish I could build these sculptures in reality. I know exactly how to do it. I researched all the materials and mastered the techniques. But money stops me. I would need a massive studio for months. I would need a gallery with huge rooms to exhibit it. And I would need people who actually want to see it. So for now, this AI preview is the only way it can exist. A hypothetical object about the energy of impact.

























