AI Security
Hello! My name is Matt Suiche. I work on AI Security at Tolmo, and I also experiment with side projects in AI Safety (Weightless, etc.) and Emulation & Operating System Research (WASM PSX, WASM NanoKrnl, etc.). I recently discussed cyberwar in the age of AI, Iran’s cyber capabilities, and how AI is reshaping hacking on Bloomberg’s Odd Lots and the National Security Lab podcast.
Previously, I founded OnDB Inc., a data infrastructure startup for the agentic economy, and co-founded CloudVolumes (acquired by VMware in 2014) and Comae Technologies (acquired by Magnet Forensics in 2022), where I later served as Head of Detection Engineering. I also founded the cybersecurity community project OPCDE.
My path into technology started in reverse engineering as a teenager, and has since spanned memory forensics, operating systems, virtualization, blockchain, and now AI infrastructure.
Nanbeige4.2-3B is the first public open-weight Looped Transformer: a 22-layer stack executed twice for 44 effective passes. We derived and shipped a GLP control vector for it, and answered the question the architecture forces: a 'per-layer' …
Inkling-Small-NVFP4 now serves on 2x DGX Spark (TP=2) on stock vLLM v0.28.0 with CUDA graphs on: 78.3 GiB of model, 105k tokens of KV, no custom image, no eager mode. It took two patches: a Triton/SDPA rel-attention fallback for sm_121 (FA4 …
Follow-up to 'Abliteration Without Redistributing the Model': steering seven frontier open-weight models with runtime control vectors. Refusal is not equally sticky across model families (Qwen folds at alpha=1.0, the GLM-5.3 flagship gets …