Ideas under consideration

Questions still open, with the work done on them so far.

Projects

8 projects
The M-layer experimentA matrix-exponential provocation became a controlled search for geometry a network can earn from observations. Self-context remains the durable default; continuation remains unsolved.Current question: Can a pointwise self-context prior become a set-conditioned learned connection without inheriting a fixed geometry?
Observe the boundaryA self-context MLP and transformer show exactly where nonlinear residual geometry should be observed—and why the rest of the network should remain on Matrix Transport.
Personal deblurrerAn exposure-level account of blur that asks which scene and camera motion could actually have produced the picture.Current question: How much of the latent scene and spatially varying motion can one observation identify without inventing certainty?
Photonic transport fieldA renderer that compiles illumination into an adaptive sparse transport field, then lets the camera gather from already illuminated surfaces.Current question: Can exact visible source regions and camera-boundary reuse remove the remaining view-dependent reconstruction cost without restoring path enumeration?
Evolving denoiserA denoiser that must account for which detail belongs to the scene, which belongs to corruption, and why.Current question: What joint law can carry radiance, residual, scale, and causal ancestry without silently deleting real detail?
The Kolmogrov questionA fixed-width candidate map that keeps exact identity outside the map, measures what, where, and when separately, and treats collisions as retrieval work rather than truth.Current question: Can bounded, independently addressable measurements preserve useful deformation neighborhoods better than simpler equal-bit sketches without impersonating exact identity?
File ManagerA file manager growing into a local computing system: native interface, exact search, durable state, policy, and network access.Current question: Can every layer remain inspectable and replaceable without giving up a coherent everyday tool?
The unembedding systemA language-model output head that keeps the usual parameter budget while allowing the backward vocabulary subspace to move with context.Current question: Can a context-rotating backward aperture improve useful vocabulary coverage and specialization without sacrificing the stability of an ordinary tied head?