whit3rabbit

Mac Phase: Z-Image + MLX + PISA + Metal Experimental Plan

Goal

The Mac phase will determine whether PISA-style piecewise sparse attention can become a practical acceleration technique for local text-to-image generation on Apple Silicon.

See MLX image: https://huggingface.co/andrevp/Z-Image-Turbo-MLX

The target architecture is:

whit3rabbit

Model-Level Watermarking in Large Language Models: Anthropic's Claude, Keyed Sampling Provenance, and Watermark Propagation

Summary

In August 2026, Anthropic disclosed how its Claude models watermark generated text. This paper explains the disclosed system, what it does and does not prove, and how to study it experimentally. The main points:

1. Claude's watermark is a decoding-time, keyed pseudorandom sampling watermark. It is a variant of the SynthID-Text method published by Google DeepMind (Nature, 2024), in the family of approaches that began with Aaronson's 2022 proposal.
2. The watermark changes only the source of randomness used to pick among candidate tokens during sampling. Nothing is added to the text, there are no hidden characters, no extra tokens are generated, and Anthropic reports no measurable impact on output quality, speed, or cost.
3. Detection requires a secret key held by the provider, and it yields a likelihood that Claude was involved in producing a passage, not a binary auth

whit3rabbit

# Get coding plan
https://z.ai/subscribe

You then go generate an API key. 

# use an isolated version of claude code with z.ai support
# https://github.com/numman-ali/cc-mirror
# Z.ai (GLM-5/4.7/4.5-Air)
npx cc-mirror quick --provider zai --api-key "$Z_AI_API_KEY_HERE"

whit3rabbit

Defaults

• macOS, en-US.
• Be direct and critical. Say when the user is wrong.
• Prefer security, correctness, then speed.
• Keep changes small, reversible, and easy to review.
• Do not present guesses as verified facts.
• Use st instead of ripgrep/grep

Style

whit3rabbit

How to extract & merge an .apkm (APKMirror / split-APK) into a usable .apk

✅ TL;DR — Quick Commands & Tools

---

🔧 Tools

• APKEditor → https://github.com/REAndroid/APKEditor
• dex2jar → https://github.com/pxb1988/dex2jar * Only for reverse engineering
• JD-GUI / jadx → View decompiled Java https://github.com/java-decompiler/jd-gui/releases/tag/v1.6.6 * Only for reverse engineering

whit3rabbit

{
  "name": "@anthropic-ai/claudie-code",
  "version": "1.0.117",
  "description": "Anthropic's official CLI for Claude, designed to help with software engineering tasks. This is a best guess deobfuscation.",
  "type": "module",
  "main": "dist/entrypoints/cli.js",
  "bin": {
    "claude": "dist/entrypoints/cli.js"
  },
  "files": [

whit3rabbit

The Vala with GTK4 Cheat Sheet

---

1. Installation & Project Setup

Installation

• Fedora: sudo dnf install vala gtk4-devel
• Debian/Ubuntu: sudo apt install valac libgtk-4-dev
• Arch Linux: sudo pacman -S vala gtk4

whit3rabbit

# It's not recommended to install other repos unless you have to
#
sudo apt-get update
sudo apt install python3-launchpadlib software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo sed -i 's|deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu/ kali-rolling main|deb https://ppa.launchpadcontent.net/deadsnakes/ppa/ubuntu/ noble main|' /etc/apt/sources.list.d/deadsnakes-ubuntu-ppa-kali-rolling.list
sudo apt-get update
sudo apt install python3.10 python3.10-venv

whit3rabbit

#include <windows.h>
#include <stdio.h>
#include <stdlib.h>
#include <psapi.h>
#pragma comment(lib, "psapi.lib")

#define NT_SUCCESS(Status) (((NTSTATUS)(Status)) >= 0)
#define STATUS_INFO_LENGTH_MISMATCH 0xC0000004

typedef LONG NTSTATUS;

whit3rabbit

#define _GNU_SOURCE
#include <stdio.h>
#include <string.h>
#include <unistd.h>
#include <sys/prctl.h>
#include <sys/mman.h>
#include <errno.h>
#include <dirent.h>
#include <sys/mount.h>
#include <sys/stat.h>