retroplasma

Unlag Neo: A "fix" for the cursor lag on Macbook Neo

Macbook Neo (I'm on macOS Tahoe 26.5.2) cursor is lagging when the cursor is near the screen's edges or when it enters a Terminal window. [1][2][3][4][5]

[Click here for more info and background]

Why is it lagging?

I don't know. But at the moment when it lags the system switches from hardware cursor to software cursor (CGCursorIsDrawnInFramebuffer() goes from 0 to 1) so maybe that transition is stalled somehow on Macbook Neo.

EYHN

import { VelopackApp } from 'velopack'

VelopackApp.build().run()

import { UpdateManager } from './update-manager'
import electron from 'electron'

const { app, ipcMain } = electron

const UPDATE_URL = 'https://s3.eyhn.in'

n-connect

Install dependencies:

brew install libomp vulkan-headers glslang molten-vk shaderc vulkan-loader

Now Molten-VK is already above v1.4 -> therefore no need to get older version and manually apply PR2434.

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build -DLLAMA_CURL=1 -DGGML_METAL=OFF -DGGML_VULKAN=ON

krisstibex

import subprocess
import re
from urllib.parse import urlparse
from typing import Optional

def extract_uid(url: str) -> Optional[str]:
    if url.isdigit():
        return url
    parsed = urlparse(url)
    match = re.search(r'/(\d+)', parsed.path)

CHIZI-0618

{
  "log": {
    "disabled": false,
    "level": "info",
    "output": "sing-box.log",
    "timestamp": true
  },
  "experimental": {
    "cache_file": {
      "enabled": true,

unixzii

Introduction

Apple restricted the access to Xcode LLM (Predictive code completion) feature on China models of Mac. This guide provides a way to bypass that restriction. It's verified on macOS 15.0 Beta (24A5264n), but there is no guarentee that it will always work on later macOS versions.

Prerequisites

• Xcode is installed and run at least once.
• SIP debugging restrictions are disabled (via csrutil enable --without debug command in recovery mode).

Disclaimer

Kyle-Ye

Inspired by https://infosec.exchange/@jjtech/112612685494089718

Method 1: LLDB

Step 0

Reboot into Recovery OS + Disable SIP

csrutil disable

douo

Replace tgram://bottoken/ChatID to your tg bot.

requirements

• https://github.com/caronc/apprise

guest271314

• V8

V8 is Google’s open source high-performance JavaScript and WebAssembly engine, written in C++. It is used in Chrome and in Node.js, among others. It implements ECMAScript and WebAssembly, and runs on Windows 7 or later, macOS 10.12+, and Linux systems that use x64, IA-32, ARM, or MIPS processors. V8 can run standalone, or can be embedded into any C++ application.

• SpiderMonkey

SpiderMonkey is Mozilla’s JavaScript and WebAssembly Engine, used in Firefox, Servo and various other projects. It is written in C++, Rust and JavaScript. You can embed it into C++ and Rust projects, and it can be run as a stand-alone shell. It can also be [compiled](https://bytecodealliance.org/articles/making-javascript-run-fast-on

CHIZI-0618

{
  "log": {
    "level": "info",
    "output": "sing-box.log",
    "timestamp": true
  },
  "dns": {
    "servers": [
      {
        "tag": "cloudflare",