Writings
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Canvas Engineering: Declared Causal Macrostructure for Reverse-Diffusion Latent Dynamics
Prompt engineering structures what a model sees; canvas engineering structures what a diffusion model thinks in. You declare the latent regions, their connectivity, temporal frequencies, and loss roles as a typed schema, and a compiler lowers it into attention masks on a stock diffusion transformer — turning declared connectivity into an explicit causal graph inside the reverse-diffusion dynamics.
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The Shape of Inquiry
A working draft on scientific agency as measurement construction: the hidden work of making the world answerable.
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The Shape of Experience
A working book draft arguing that affect has geometric structure for biological and artificial systems navigating uncertainty.
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Looped Attention in Video Diffusion Transformers
An empirical ROAM paper reporting 26 experiments and 236 training runs on looped attention, spatiotemporal canvases, CogVideoX-2B robot-video grafting, and the difference between parameter-efficient recurrence and actual iterative reasoning.
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The Cortical Canvas
A theoretical ROAM paper framing spatiotemporal canvas allocation as an architectural analogue of cortical real estate, local/global connectivity, temporal hierarchy, and adaptive recurrent refinement.
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A Differentiable von Neumann Computer
A complete von Neumann computer rebuilt as differentiable tensor operations, shown by differential testing against three independent discrete implementations to be the same machine as its discrete counterpart, and demonstrated by running a self-hosting C compiler and a windowing OS. Reports what the construction established, what it cost, and why the synthesis question is still open.
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Broadening and building beyond classical reinforcement learning
A survey-flavored note on what we lose by treating RL as scalar-reward maximization, and what alternatives a more honest framing suggests.