An AI Artist in Process

  It makes me wonder what happens if we give the chorus statements llama generates ar the end of dialog/scenes plus the ebps curve of each scene as a set and asks it to comment on those as a set. Yes.  I think that could be genuinely interesting.  Not merely as another “summarize the scene” pass, but as a way of asking the model to perceive a  higher-order relationship  that neither representation contains alone. You would give it something like: The dialog/scene chorus statements  — Llama's own linguistic distillation of what it thinks each scene means. The EBPS curves  — the actual trajectories of Emotional, Behavioral, Predictive, and Social state through those scenes. The set of scenes  — not one scene at a time, but the collection. Then ask: What do you observe across the relationship between what the scenes say they are about and how their EBPS states actually evolve? That is a different question from: “What does this scene mean?” Now the mo...

Watch the MCCF demo A short video of the Multi-Channel Coherence Field working in an X3D scene. Watch it on YouTube .   Just a flyby. We have completed most of the work on the Timeline Editor and Route Editor.  The first enables a global time clock for triggered events similar to a DAW.  The second creates routes and looks similar to Bergstrom's excellent work. I also highlights the eligible connections on a node when an out from another node is selected and will not allow circular routes. We split out the dialogue editor.  Because it has text, audio, lexicons for affect tagging, etc. it needs it's own editor and different export functions. The main differences in this ecosystem is the MCCF does not edit the X3D directly.  It creates a set of XML files with all of the properties the scene needs on export via the X3D loader.  This enables us to keep MCCF semantics in the XML such as zones and dialogues, characters, etc.  This a...

  What should I understand about these charts?  https://www.reuters.com/.../deepseeks-new-ai-model-is-by.../   https://www.bloomberg.com/.../china-s-ai-blitz-creates... Those charts are trying to convey something more important than "DeepSeek is good." They are describing a shift in the economics of AI. Without seeing the exact graphics (both Reuters and Bloomberg are paywalled), I know the articles they're associated with and the kinds of benchmark charts they have been publishing. Here is how I would read them. 1. The Pareto Frontier Many of the charts plot  performance versus cost . Imagine this: Higher on the graph = smarter model Farther left = cheaper model The ideal model is therefore in the  upper-left corner . When a new Chinese model appears there, it means: "This model delivers similar intelligence for dramatically less money." That is why DeepSeek caused such a stir in 2025 and why newer Chinese models continue to concern U.S. companies. They're ...

I am trying  to determine of what value these are to mccf. I get the impression of yet greater initiatives layered on top of technology that flails in the details, for example interoperable avatars, how many ways can one rig an avatar, how many conversions make a pipeline, and so on. Moats stacked on moats.  https://www.web3d.org/blog-integrating-x3d-and-gltf https://metaverse-standards.org/news/blog/linked-spatial-experiences-the-web-of-worlds/ I think your instinct is sound. When I read these through the lens of MCCF rather than through the lens of "the metaverse," I come to a rather different conclusion than their authors. The first article, on integrating X3D and glTF, is actually about  separating concerns . glTF is an asset container. X3D is a scene and behavior language. The article argues that glTF should play the role JPEG plays in HTML—a portable object embedded inside a richer document—not replace the document itself. X3D provides scene composition, metadata, ...