kazenoko.
I like figuring out how things work.
I’m interested in silicon, neuromorphic computing, software, and research. This is where I collect what I’m making and the questions I’m working through.
A first neuromorphic NPU design for Hack Club ASIC.
Latest from the workbench
October 2026–present
Neuromorphic NPU
A first neuromorphic NPU design for Hack Club ASIC. An exploration of computation at the hardware level.
Repository created · 27 Oct 2026
tripwala
Documentation from kazenoko-git/tripwala.
Repository updated · 21 Oct 2026
télos (τέλος): Preliminary Evidence on Token-Budget Scaling in Masked Diffusion Language Models for Code Autocomplete
Autoregressive language models currently dominate code generation, yet they are fundamentally constrained by strict left-to-right generation. Masked Diffusion Language Models (MDLMs) offer a compelling alternative via bidirectional context and non-monotonic iterative decoding.…
Repository updated · 21 Oct 2026
télos (τέλος): Preliminary Report 2 — Capability Divergence, Positional Encoding, and the Limits of Masked Diffusion Scaling
Following the initial scaling observations in Masked Diffusion Language Models (MDLMs) for code autocomplete, we complete our scaling sweeps across the 12.5M, 25M, and 50M parameter tiers. We identify a fundamental limitation in MDLM capacity allocation: past a critical,…
Repository created · 19 Aug 2026
iPoint
Documentation from kazenoko-git/iPoint.
August 2026–present
telos
Research Beyond Autoregressive Models.
Contact & elsewhere
Contact details coming soon.
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