Another great dissertation from Mark Brown of Game Maker’s Toolkit: The Games that Designed Themselves. It’s the radical idea that designers should ignore their preconceived notions and look to the game itself to find out where the development should lead. How does something design itself? Well… the answer is: Prototypes.
A lot of great indie game masterpieces are the result of experimentation and early gameplay demos that changed the course of game’s development. As Brown points out, there’s a whole history of groundbreaking games that were developed “almost by accident” where bugs and glitches were turned into features.
Today I made an Exit page. So many people end their visit by hitting the Back button on their browser. The exit page is a last attempt to get them to explore the Blog Directory to find an entertaining blog. Or failing that to try a search on a search engine they may have never tried before.
APL font based on Adrian Smith's APL385 font with a fun, whimsical look, inspired by Comic Sans Serif.
APL (named after the book A Programming Language) is a programming language developed in the 1960s by Kenneth E. Iverson. Its central datatype is the multidimensional array. It uses a large range of special graphic symbols to represent most functions and operators, leading to very concise code. It has been an important influence on the development of concept modeling, spreadsheets, functional programming, and computer math packages. It has also inspired several other programming languages.
In the absence of the cultural spaces my work usually occupies, I’ve found myself chasing the social rituals they evoke and the reverence they embody through abstract digital recreations and pastiche. In these spaces, familiar feelings and experiences reverberate and mix with new ones.
They are events that all at once feel both practical and absurd.
In a time of such flux and uncertainty, maybe that is as good a place as any to be.
In the past, GDP and resources use have always been tightly correlated. But this is just drawing a line through some data — it’s not based on any deep theory. And in fact, these correlations can change very quickly. Just as one example, here’s energy use versus GDP since 1949.
If you were sitting in 1970, you could look at this curve and claim, very confidently, that economic growth requires concomitant increases in energy use. And you’d be wrong. Because the trend is your friend til the bend at the end.