Audit this Go codebase and aggressively simplify AI-generated, defensive, overly abstract, or unnecessarily generic code.

The goal is to make the code look like it was written by an experienced Go engineer:

• simple
• explicit
• strongly typed
• boring

A practical guide to finding which modules of a trained LoRA cause a specific defect (blurry skin, lost identity, ignored pose) and to fixing it without retraining.

Everything here is post-hoc weight surgery: you take a .safetensors you already trained, produce variants with some module groups zeroed or scaled, generate with each under a fixed seed, and measure. No GPU training, minutes per iteration.

Worked examples at the end come from two real LoRAs on Qwen-Image-2.1 (a head swap and a

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

This is a mini-tutorial of sorts for getting started with gdb on the Switch, with the target audience being people who want to mod and/or reverse games, with no prerequisite knowledge of gdb. The goal will be to walk you through some of the basic workflows needed to use a debugger on the Switch, while being brief enough for skimming for when you forget things.

If some part is unclear, your OS doesn't have install instructions, or you feel part of your workflow should be added here, feel free to comment any additions.

(If you only need a quick reference Jump to the Appendix)

First off you'll need a version of GDB compatible with aarch64. This can be obtained via either a distribution of

Cloud Gaming is a great way to enjoy graphically demanding games on Apple Vision Pro.

Since Safari on visionOS does not support PWA mode, here is how you can access cloud gaming services on Apple Vision Pro.

• A compatible game controller