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.
Arditi et al. proved inference-time directional ablation and weight orthogonalization equivalent, under one assumption most readers skip: the stream must arrive clean, which puts the embedding matrix in the edit set. A baked adapter that …
Two weeks inside the Tantalus GCD arena produced a measured proof-of-concept: a three-token grammar prefix flips a stock model whose refuser fires at 99.85% first-token mass, a beam-search flag silently detaches the constraint end-to-end, …
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' …