This document helps AI agents work effectively in the X For You Feed Algorithm repository.
This repository contains the core recommendation system powering the "For You" feed on X (Twitter). It combines:
Python doesn't have a built-in way to run untrusted code safely. Multiple attempts have been made, but none really succeeded.
Why? Because Python is a highly introspective object-oriented language with a mutable runtime. Core elements of the interpreter can be accessed through the object graph, frames and tracebacks, making runtime isolation difficult. This means that even aggressive restrictions can be bypassed:
# Attempt: Remove dangerous built-ins
del __builtins__.eval
It turns out that MacOS Tahoe can generate and use secure-enclave backed SSH keys! This replaces projects like https://github.com/maxgoedjen/secretive
There is a shared library /usr/lib/ssh-keychain.dylib that traditionally has been used to add smartcard support
to ssh by implementing PKCS11Provider interface. However since recently it also implements SecurityKeyProivder
which supports loading keys directly from the secure enclave! SecurityKeyProvider is what is normally used to talk to FIDO2 devices (e.g. libfido2 can be used to talk to your Yubikey). However you can now use it to talk to your Secure Enclave instead!
| import { Loader2 } from "lucide-react"; | |
| import { | |
| createContext, | |
| type ReactNode, | |
| useContext, | |
| useEffect, | |
| useMemo, | |
| useRef, | |
| useState, | |
| } from "react"; |
Pop Note is a userscript that enhances the user experience of Google NotebookLM by opening the notes in full screen mode with right-click and exit with Escape key. This allows users to focus on their notes without distractions from other UI elements.
Hanging out in subtitling and video re-editing communities, I see my fair share of novice video editors and video encoders, and see plenty of them make the classic beginner mistakes when it comes to working with videos. A man can only read "Use Handbrake to convert your mkv to an mp4 :)" so many times before losing it, so I am writing this article to channel the resulting psychic damage into something productive.
If you are new to working with videos (or, let's face it, even if you aren't), please read through this guide to avoid making mistakes that can cost you lots of computing power, storage space, or video quality.
| <?xml version="1.0" encoding="UTF-8"?> | |
| <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> | |
| <plist version="1.0"> | |
| <dict> | |
| <key>Label</key> | |
| <string>com.inclouds.space</string> | |
| <key>ProgramArguments</key> | |
| <array> |
| { | |
| "output": { | |
| "blocklist": [], | |
| "compressor#0": { | |
| "attack": 20.0, | |
| "boost-amount": 6.0, | |
| "boost-threshold": -72.0, | |
| "bypass": true, | |
| "dry": -100.0, | |
| "hpf-frequency": 10.0, |
You can take the same source code package that Ubuntu uses to build jq, compile it again, and realize 90% better performance.
I use jq for processing GeoJSON files and other open data offered in JSON format. Today I am working with a 500MB GeoJSON file that contains the Alameda County Assessor's parcel map. I want to run a query that prints the city for every parcel worth more than a threshold amount. The program is
| #cloud-config | |
| # Enable automatic package updates and upgrades during cloud-init execution | |
| package_update: true | |
| package_upgrade: true | |
| packages: | |
| # Security and Hardening | |
| - ufw | |
| - fail2ban |
