- Meet the Super-Taskers (Psychology Today) — As part of the Nissan GT Academy challenge, the top 10 players of the car-racing game Gran Turismo are given the chance to race real automobiles in competition. They’re very good—too good, in fact. A graduate racing a real car in the British GT in 2012 was so fast that he could keep up with the professionals in what was supposed to be an amateur event. In 2013, GT Academy graduates were banned from such races in the UK. Instead, they have to compete against the pros.
- A View of Game Developers From The Future (Ian Bogost) — A new arms race commenced—for virtual attention, which the Patrons converted into financial instrument. While historians agree that ancient works like Civilization and chess still provided inspiration, games primarily became a specialized form of banking. As long as there has been advertising, there has been an attention economy: you advertise where people pay attention—whether it’s on the walls of buildings or above urinals.
- ErLLVM — providing multiple back ends for the High Performance Erlang (HiPE) with the use of the LLVM infastructure. Making the very-lightweight-multithreading Erlang less of a closed world fruitcake deployment can only be good.
- Explain Git with D3 (GitHub) — visualisations of common git operations.
ENTRIES TAGGED "erlang"
Super Gamers, Game Developers, Erlang+LLVM, and Git Visualised
Steve Vinoski on when to make the leap to functional programming.
Rare Visualization, Google+ Tech, Scala+Erlang, and In-Database Analytics
- Slopegraphs — a nifty Tufte visualization which conveys rank, value, and delta over time. Includes pointers to how to make them, and guidelines for when and how they work. (via Avi Bryant)
- scalang (github) — a Scala wrapper that makes it easy to interface with Erlang, so you can use two hipster-compliant built-to-scale technologies in the same project. (via Justin Sheehy)
- Madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data. (via Mike Loukides)