<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>TBC Research</title><link>https://tbcresearch.org/</link><description>Open research and results from TBC Research.</description><item><title>Design note: the shadow of a higher-dimensional grid</title><link>https://tbcresearch.org/research/unit-distance/</link><guid>https://tbcresearch.org/research/unit-distance/</guid><description>Why this site is drawn from the 2026 disproof of Erdős's unit distance conjecture, and what the moving lattice on the home page actually computes.</description><pubDate>Thu, 08 Oct 2026 12:00:00 GMT</pubDate></item><item><title>An autonomous overnight loop for Claude Code</title><link>https://tbcresearch.org/research/nightcrawler/</link><guid>https://tbcresearch.org/research/nightcrawler/</guid><description>Splits a mission into fresh-context Claude Code episodes with structured handoffs, per-episode budget caps, and git-diff checks of claimed progress.</description></item><item><title>Hebbian procedural memory for coding agents</title><link>https://tbcresearch.org/research/brainbox/</link><guid>https://tbcresearch.org/research/brainbox/</guid><description>Learns which files are accessed together, which errors lead to which fixes, and which tool chains recur, then recalls them before the agent searches.</description></item><item><title>Hybrid Neural Engine, GPU, and CPU LLM inference on Apple Silicon</title><link>https://tbcresearch.org/research/ane-infer/</link><guid>https://tbcresearch.org/research/ane-infer/</guid><description>A from-scratch engine running Qwen3.5-2B across the Apple Neural Engine, Metal GPU, and CPU; Metal decode matches llama.cpp at about 32 tok/s.</description></item><item><title>A batch-1 INT4 decode megakernel on a 2018 Turing GPU</title><link>https://tbcresearch.org/research/latticemk/</link><guid>https://tbcresearch.org/research/latticemk/</guid><description>A GPTQ INT4 decode megakernel on a Quadro RTX 4000 running 1.09–1.64× faster than llama.cpp Q4_0 on Qwen3-0.6B and 1.7B.</description></item><item><title>Speculative speculative decoding on an M4: a documented ceiling</title><link>https://tbcresearch.org/research/ssd-apple-silicon/</link><guid>https://tbcresearch.org/research/ssd-apple-silicon/</guid><description>Can SSD-style parallel speculation beat plain MLX speculative decoding on Apple Silicon? No: 66.9 tok/s is the practical ceiling, set by memory bandwidth.</description></item><item><title>A real-time neural synthesizer on the Apple Neural Engine</title><link>https://tbcresearch.org/research/ane-synth/</link><guid>https://tbcresearch.org/research/ane-synth/</guid><description>Neural audio inference directly on the Neural Engine, bypassing CoreML: about 157 µs per 8-voice buffer, roughly 79× real-time headroom.</description></item><item><title>Measuring and repairing a checkpoint's surgery reserve</title><link>https://tbcresearch.org/research/theseus/</link><guid>https://tbcresearch.org/research/theseus/</guid><description>Two transformers with identical outputs can respond very differently to quantization, LoRA, or merging. Theseus detects and repairs the difference.</description></item><item><title>Self-stabilising, auditable brain-computer-interface decoders</title><link>https://tbcresearch.org/research/neural-decompile/</link><guid>https://tbcresearch.org/research/neural-decompile/</guid><description>Treats decoders as programs: diagnoses drift, repairs from about 30 s of data with label-free correction, and compiles to dependency-free streaming Rust.</description></item><item><title>A compositional morpheme tokenizer built on holographic reduced representations</title><link>https://tbcresearch.org/research/morph-hrr/</link><guid>https://tbcresearch.org/research/morph-hrr/</guid><description>Each word becomes one fixed-width vector binding prefix, root, and suffix with circular convolution, so morphemes can be algebraically recovered.</description></item></channel></rss>