The Explosion of Free Porn Online. It was inevitable, once YouTube launched in 2005, that someone would start a porn equivalent.
Sure enough, over two months in the summer of 2006, three different sites launched that would become major adult-only tubes: PornoTube, RedTube, and YouPorn. Like YouTube, the porn tubes were flooded with free content—some of it licensed for pennies from older companies that didn’t understand the web, much of it pirated from paid sites. The tubes had a new business model: They made most of their money by keeping surfers on their sites and selling banner ads, though they also put some content behind a paywall. Porn surfers migrated en masse from the old TGPs and eight-second MGPs to free movies on tube sites that could run upwards of 30 minutes. Traffic to the affiliates and conversions to paysites both plummeted.
Content thieves “will not steal it and get away with it,” Brazzer declared. In fact, Youssef had already helped launch a tube site of his own. Projects:marioai. Paul Kuliniewicz » Archive » Wallace Jr. Grows On Trees. I’ve updated Wallace Jr. to support actual genetic programming, instead of just genetic algorithms.
That is, Wallace Jr. now generates programs that try to play video games, instead of just generating predefined controller input sequences. Naturally, the language used by Wallace Jr. for its evolved programs is extremely limited. In fact, it’s really more of a language for writing expressions rather than what you’d typically consider a “program”: there’s no variables or subroutines or even loops. Here’s the entire (informal) specification of the language: That’s it. Here’s an example of what a program written in this language would look like: (& (+ 0x1b (& (- (| 0x77 (^ 0x60 (read 0x81))) 0x23) (& 0x10 (& 0x28 (read 0xbe))))) (^ 0x56 (ifgt 0x62 (read (ifgt (| (read 0xa8) 0xfe) 0x93 0x30 0x34)) 0x23 (ifgt (+ 0xbd (read 0x70)) (^ 0xef (- (read 0x33) 0x4d)) (+ (& 0x27 (& 0x78 (ifgt (read 0x58) 0x41 0x76 0xb6))) (^ (read 0xe7) 0x9c)) (+ 0xb0 (read 0x08)))))) And in its full, unoptimized glory:
Mario AI Competition 2009. Overview Results of the ICE-GIC phase can be found here, and of the CIG phase here. A package containing the source code for all the submitted entries can be found here. This paper contains an academic writeup of the benchmark software. Be sure to check out the 2010 Mario AI Championship! This competition is about learning, or otherwise developing, the best controller (agent) for a version of Super Mario Bros.
The controller's job is to win as many levels (of increasing difficulty) as possible. We are basing the competition on a heavily modified version of the Infinite Mario Bros game by Markus Persson. One of the main purposes of this competition is to be able to compare different controller development methodologies against each other, both those based on learning techniques such as artificial evolution and those that are completely hand-coded. We welcome feedback on both web page, organization and software. How to participate (it's easy!)