ESPN's hidden API endpoints
Latest News: http://site.api.espn.com/apis/site/v2/sports/football/college-football/news
Latest Scores: http://site.api.espn.com/apis/site/v2/sports/football/college-football/scoreboard
| あせ (・_・;) 顔文字 | |
| あせ (・∀・;) 顔文字 | |
| あせ (^ω^;;) 顔文字 | |
| あせ (゚∀゚ ;) 顔文字 | |
| あせ (゚∀゚ ;)タラー 顔文字 | |
| あたふた ヽ(´・ω・`ヽ) 顔文字 | |
| あつい (。>﹏<) 顔文字 | |
| あつい (。>﹏<)あㄘ”ゅい 顔文字 | |
| あつい (>﹏<。Ξ。>﹏<) 顔文字 | |
| あつい ι(´Д`υ) 顔文字 |
Latest News: http://site.api.espn.com/apis/site/v2/sports/football/college-football/news
Latest Scores: http://site.api.espn.com/apis/site/v2/sports/football/college-football/scoreboard
This guide covers how to reliably dump the native Video BIOS Table (VBT) for an Intel Integrated GPU (iGPU) using a Live Linux environment.
On modern UEFI systems (CSM disabled) or switchable graphics laptops (Intel iGPU + AMD/NVIDIA dGPU), bootloaders like Clover often fail to dump the Intel VBIOS. Clover's legacy F6 shortcut dumps memory region 0xC0000, which either dumps the discrete GPU ROM or an empty memory block.
| // Collection of Open Source Shaping Functions in GLSL | |
| // https://thebookofshaders.com/05/ | |
| // https://www.shadertoy.com/view/3lVyDD | |
| //============================================================================================================ | |
| #define PI 3.14159265359 | |
| #define epsilon 0.00001 | |
| float sq(float x) { | |
| return x*x; |
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.
It's really quite simple!
Simply go to https://www.gog.com/game/the_witcher_3_wild_hunt_game_of_the_year_edition (this should also work with the regular edition) and buy and add the game to your library.
Do NOT click "Download and Install" at this point. We will do this through Lutris.
| # Check these threads before proceeding: | |
| # https://github.com/microsoft/WSL/discussions/5857 | |
| # https://github.com/microsoft/WSL/issues/5821 | |
| if (-Not ([Security.Principal.WindowsPrincipal] [Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole([Security.Principal.WindowsBuiltInRole] 'Administrator')) { | |
| $CmdLine = "-File `"" + $MyInvocation.MyCommand.Path + "`" " + $MyInvocation.UnboundArguments | |
| Start-Process -FilePath PowerShell.exe -Verb Runas -ArgumentList $CmdLine | |
| Exit | |
| } | |
| # Restart the Host Network Service | |
| Restart-Service -Force -Name hns |
FYI (July 24, 2025): I've been away since July 11, dealing with an emergency move. I'll be back working on all the amazing comments y'all have been putting down, most possibly by the first weekend of August. I appreciate all the contributions everybody has been making and all the time everybody has put to make all of our lives better.
Last Updated On: July 10, 2025
Last Updated Platform: Peacock