Finding Alignment by Visualizing Music in Rust
4 days ago
- #AI Innovation
- #Open Source
- #Music Visualization
- Music visualization is highlighted as a forgiving and open problem space ideal for innovation in AI.
- Critique of large-scale machine learning models for being slow, expensive, and exclusive, advocating for smaller, more efficient AI solutions.
- Introduction of µTate (Mu Tate), an open-source music visualizer, as part of a strategic pivot to bootstrap PrizeForge's supply side.
- Discussion on the potential of small AI models to revolutionize fields like materials science and custom protein design.
- Exploration of alternative training methods beyond back-propagation, such as greedy particle methods, for cheaper and faster model training.
- Technical insights into developing µTate, including challenges with Vulkan synchronization, Pipewire integration, and audio-visual synchronization.
- Vision for generative particle systems in music visualization to create abstract, expressive art forms in real-time.
- Call for collaboration and contribution to µTate, emphasizing the project's open-source nature and potential for impact across various industries.
- Reflection on the shift from programmer tools to music visualization as a more promising and broadly appealing application area.
- Advocacy for properly funded open-source projects that compensate contributors, challenging traditional notions of open-source development.