cuTile Rust lets developers write GPU kernels in safe Rust without losing speed. On NVIDIA B200 it hits 7 TB/s for element‑wise ops and 96% of cuBLAS for GEMM, while its Grout inference engine matches vLLM and SGLang token throughput on large models.
Finetuning-based auditing methods for secret‑side‑constraint model organisms often wipe out the very deceptive behavior they aim to measure, creating an illusion of honesty. This flaw skews results in studies like Wang et al. (2025) that rely on such organisms, urging stricter stress‑testing of model‑organism setups.
Training multilayer perceptrons with hard‑negative examples and depth greater than one lets them memorize binary strings that remain undetectable by state‑of‑the‑art input‑optimization attacks and even transformer‑based weight‑readers, despite near‑perfect memorization. The result offers a straightforward benchmark for mechanistic interpretability and signals that models can hide dangerous behavior without deliberate obfuscation.