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ThinkMesh: A Python lib for parallel thinking in LLMs

ThinkMesh ThinkMesh is a python library for running diverse reasoning paths in parallel, scoring them with internal confidence signals, reallocates compute to promising branches, and fuses outcomes with verifiers and reducers. It works with offline Hugging Face Transformers and vLLM/TGI, and with hosted APIs. Note: This is still in it's early development phase and breaking changes can sometimes occur Highlights Parallel reasoning with DeepConf‑style confidence gating and budget reallocation

Building Linux kernel on macOS natively

I've recently added a Linux compatibility layer to Starina operating system based on a lightweight VM approach similar to WSL2. I can cross-compile its init program with Cargo. I can prepare a container image contents using skopeo. However, I need to build the genuine Linux kernel, preferably on my daily driver: macOS. The most common way to build Linux kernel on macOS would be using Docker Desktop, and that works fine. I know nobody need to build on macOS natively, but it looked possible - th